Job Info Job Identification 15290 Posting Date 06/05/2026, 09:33 AM Job Role Data Management and Analytics-Data Modelling Experience (In Years) 6-9 Job Location London, United Kingdom Job Description EXL (NASDAQ: EXLS)is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute complex operations for the world's leading corporations. EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect, creating value from data to ensure faster decision-making and transforming operating models. Key industries include Insurance, Healthcare, Banking and Financial Services, Media, and Retail, among others. Headquartered in New York, our team is over 60,000 strong, with more than 50 offices spanning six continents. For information, visit. Location:London, United Kingdom(Hybrid working) Employment Type:Permanent The Senior Data Modeller will provide technical expertise and leadership in analysis, design, development, rollout and maintenance of enterprise data models and solutions. This role establishes a clear, layered approach (conceptual, logical, physical) to ensure consistency, scalability, and alignment across the enterprise. The position requires deep understanding of the insurance data domain and provides technical expertise in needs identification, data modelling, data movement and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from an enterprise perspective. The Senior Data Modeler creates high-quality data models for priority domains with a structured plan to progressively expand across the enterprise landscape. The role sets design principles and standards to build trusted, reusable, and well-governed data assets that support business outcomes. This includes implementing consistent, business-friendly naming conventions and aligning with governance frameworks, including London Market and regulatory requirements where applicable. Leadership not only in the conventional sense, but also within a team we expect people to be leaders. Candidate should elicit leadership qualities such as innovation, critical thinking, optimism, positivity, communication, time management, collaboration, problem solving, acting independently, knowledge sharing and being approachable. As part of your duties, you will be responsible for: Design and develop conceptual, logical, and physical data models for enterprise-scale data lake and data warehouse solutions, along with corresponding metadata, ensuring layered consistency and scalability across the enterprise Establish and enforce design principles, standards, and naming conventions to build trusted, reusable, and well-governed data assets that support business outcomes Create high-quality data models for priority domains with a structured plan to progressively expand across the enterprise landscape Implement consistent, business-friendly naming conventions and align with governance frameworks, including London Market standards (ACORD, CDR, MRC) and regulatory requirements where applicable Define processes, ownership, and tooling to maintain, govern, and continuously evolve data assets over time Understanding of data integration processes (batch or real-time) using tools such as Informatica PowerCenter and/or Cloud, Microsoft SSIS, MuleSoft, DataStage, Sqoop, and similar platforms Create functional and technical documentation including data integration architecture documentation, data models, data dictionaries, data integration specifications, and data testing plans Collaborate with business users to analyse and test requirements, translating business needs into scalable technical solutions Stay current with emerging and changing technologies to best recommend and implement beneficial technologies and approaches for data architecture Lead and support setting the data architecture direction (including data movement approach, architecture and technology strategy, and other data-related considerations to ensure business value), ensuring data architecture deliverables are developed, ensuring compliance with standards and guidelines, implementing the data architecture, and supporting technical developers at an enterprise level Coordinate and consult with project managers, client business staff, client technical staff and project developers in data architecture best practices and data-related matters at the enterprise and business unit levels Perform reverse engineering of physical data models from databases and SQL scripts Maintain rigorous versioning of documentation and models to ensure consistent delivery and understanding between the client and development team Experience and Education required: Deep understanding of the insurance data domain; experience working as a data modeler for a London market insurer is equally valuable to specialized London Market technical expertise Experience using major data modelling tools (examples: ERwin, ER/Studio, PowerDesigner, or similar enterprise modelling platforms) Experience with major database platforms (Oracle, SQL Server, Teradata, Snowflake, cloud-native databases) Understanding and experience with major data architecture philosophies (Dimensional, ODS, Data Vault, Data Mesh) 5-7 years of management or technical leadership experience required 5-7 years consulting experience preferred Experience in data analysis, profiling, and data quality assessment Strong data warehousing and OLTP systems experience from a modelling and integration perspective Strong understanding of data integration best practices, patterns, and architectural concepts Strong development experience under Unix and/or Windows environments Strong knowledge of all phases of the system development life cycle including agile methodologies Understanding of modern data warehouse capabilities and technologies such as real-time, cloud, Big Data, and streaming architectures Understanding of on-premises and cloud infrastructure architectures (Azure, AWS, Google Cloud) Knowledge of London Market standards (ACORD, CDR, MRC) and regulatory frameworks is highly desirable but not essential Preferred Skills & Experience Ability to analyse business requirements as they relate to data movement and transformation processes, research, evaluation and recommendation of alternative solutions Ability to transform business requirements into technical requirement documents and enterprise-level design patterns Ability to run conceptual data modelling sessions to accurately define business processes, independently of data structures and then combine the two together Can create documentation and presentations such that they stand on their own with minimal additional context Demonstrates ability to create new and innovative solutions to problems that have previously not been encountered Ability to work independently on complex projects as well as collaborate effectively across teams and organisational boundaries Must excel in a fast-paced, agile environment where critical thinking and strong problem-solving skills are required for success Strong team building, interpersonal, analytical, problem identification and resolution skills Can effectively utilise SQL and/or available BI tools to validate and elaborate business rules Demonstrates an understanding of EDM architectures and applies this knowledge in collaborating with teams to design effective solutions to business problems Understands and leverages multi-layer semantic models to ensure scalability, durability, and supportability of analytic solutions Understands modern data warehouse concepts (real-time, cloud, Big Data) and how to enable such capabilities from a reporting and analytic standpoint As part of a leading global Data and AI company, you can look forward to: A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension. EXLprovides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. AtEXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer,EXLis committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. . click apply for full job details
14/06/2026
Full time
Job Info Job Identification 15290 Posting Date 06/05/2026, 09:33 AM Job Role Data Management and Analytics-Data Modelling Experience (In Years) 6-9 Job Location London, United Kingdom Job Description EXL (NASDAQ: EXLS)is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute complex operations for the world's leading corporations. EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect, creating value from data to ensure faster decision-making and transforming operating models. Key industries include Insurance, Healthcare, Banking and Financial Services, Media, and Retail, among others. Headquartered in New York, our team is over 60,000 strong, with more than 50 offices spanning six continents. For information, visit. Location:London, United Kingdom(Hybrid working) Employment Type:Permanent The Senior Data Modeller will provide technical expertise and leadership in analysis, design, development, rollout and maintenance of enterprise data models and solutions. This role establishes a clear, layered approach (conceptual, logical, physical) to ensure consistency, scalability, and alignment across the enterprise. The position requires deep understanding of the insurance data domain and provides technical expertise in needs identification, data modelling, data movement and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from an enterprise perspective. The Senior Data Modeler creates high-quality data models for priority domains with a structured plan to progressively expand across the enterprise landscape. The role sets design principles and standards to build trusted, reusable, and well-governed data assets that support business outcomes. This includes implementing consistent, business-friendly naming conventions and aligning with governance frameworks, including London Market and regulatory requirements where applicable. Leadership not only in the conventional sense, but also within a team we expect people to be leaders. Candidate should elicit leadership qualities such as innovation, critical thinking, optimism, positivity, communication, time management, collaboration, problem solving, acting independently, knowledge sharing and being approachable. As part of your duties, you will be responsible for: Design and develop conceptual, logical, and physical data models for enterprise-scale data lake and data warehouse solutions, along with corresponding metadata, ensuring layered consistency and scalability across the enterprise Establish and enforce design principles, standards, and naming conventions to build trusted, reusable, and well-governed data assets that support business outcomes Create high-quality data models for priority domains with a structured plan to progressively expand across the enterprise landscape Implement consistent, business-friendly naming conventions and align with governance frameworks, including London Market standards (ACORD, CDR, MRC) and regulatory requirements where applicable Define processes, ownership, and tooling to maintain, govern, and continuously evolve data assets over time Understanding of data integration processes (batch or real-time) using tools such as Informatica PowerCenter and/or Cloud, Microsoft SSIS, MuleSoft, DataStage, Sqoop, and similar platforms Create functional and technical documentation including data integration architecture documentation, data models, data dictionaries, data integration specifications, and data testing plans Collaborate with business users to analyse and test requirements, translating business needs into scalable technical solutions Stay current with emerging and changing technologies to best recommend and implement beneficial technologies and approaches for data architecture Lead and support setting the data architecture direction (including data movement approach, architecture and technology strategy, and other data-related considerations to ensure business value), ensuring data architecture deliverables are developed, ensuring compliance with standards and guidelines, implementing the data architecture, and supporting technical developers at an enterprise level Coordinate and consult with project managers, client business staff, client technical staff and project developers in data architecture best practices and data-related matters at the enterprise and business unit levels Perform reverse engineering of physical data models from databases and SQL scripts Maintain rigorous versioning of documentation and models to ensure consistent delivery and understanding between the client and development team Experience and Education required: Deep understanding of the insurance data domain; experience working as a data modeler for a London market insurer is equally valuable to specialized London Market technical expertise Experience using major data modelling tools (examples: ERwin, ER/Studio, PowerDesigner, or similar enterprise modelling platforms) Experience with major database platforms (Oracle, SQL Server, Teradata, Snowflake, cloud-native databases) Understanding and experience with major data architecture philosophies (Dimensional, ODS, Data Vault, Data Mesh) 5-7 years of management or technical leadership experience required 5-7 years consulting experience preferred Experience in data analysis, profiling, and data quality assessment Strong data warehousing and OLTP systems experience from a modelling and integration perspective Strong understanding of data integration best practices, patterns, and architectural concepts Strong development experience under Unix and/or Windows environments Strong knowledge of all phases of the system development life cycle including agile methodologies Understanding of modern data warehouse capabilities and technologies such as real-time, cloud, Big Data, and streaming architectures Understanding of on-premises and cloud infrastructure architectures (Azure, AWS, Google Cloud) Knowledge of London Market standards (ACORD, CDR, MRC) and regulatory frameworks is highly desirable but not essential Preferred Skills & Experience Ability to analyse business requirements as they relate to data movement and transformation processes, research, evaluation and recommendation of alternative solutions Ability to transform business requirements into technical requirement documents and enterprise-level design patterns Ability to run conceptual data modelling sessions to accurately define business processes, independently of data structures and then combine the two together Can create documentation and presentations such that they stand on their own with minimal additional context Demonstrates ability to create new and innovative solutions to problems that have previously not been encountered Ability to work independently on complex projects as well as collaborate effectively across teams and organisational boundaries Must excel in a fast-paced, agile environment where critical thinking and strong problem-solving skills are required for success Strong team building, interpersonal, analytical, problem identification and resolution skills Can effectively utilise SQL and/or available BI tools to validate and elaborate business rules Demonstrates an understanding of EDM architectures and applies this knowledge in collaborating with teams to design effective solutions to business problems Understands and leverages multi-layer semantic models to ensure scalability, durability, and supportability of analytic solutions Understands modern data warehouse concepts (real-time, cloud, Big Data) and how to enable such capabilities from a reporting and analytic standpoint As part of a leading global Data and AI company, you can look forward to: A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension. EXLprovides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. AtEXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer,EXLis committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. . click apply for full job details
Senior Front End Engineer - AI ProductsApplylocations: London United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: Job Overview We are Citi's Application, Platform and Engineering team, a start-up with the exciting mission of shaping the direction of travel for the entire bank under the Chief Technology Office, by defining the tech and engineering strategy for the bank. We are a team of talented engineers, product managers and tech SMEs, taking ambiguous concepts and making them real by engineering cutting edge products at planetary scale! We are solely focused on the most modern technology and engineering disciplines such as generative AI, cloud, security, modern app stacks (with Golang, Gatekeeper), open source and the latest and greatest in the Kubernetes ecosystem.Generative AI is a growing space, as a result, we ask that you share with us any specific AI engineering projects utilising LLMs that you're proud of in your application. Ideally these projects should show off complex and clever architectures or a systematic evaluation of an LLM's behaviour. You might be a good fit if you Bring your deep-dive front-end engineering expertise from building polished, high-performance user interfaces for production systems at scale Thrive in a results-driven environment, where flexibility fuels impact Be a game-changer, ready to step beyond your designated role Love the synergy of pair programming? So do we! Seize the opportunity to craft world-class user experiences that bring AI-powered products to life. Jump in! A relentless passion to learn more about modern UI/UX paradigms, design systems, and bringing your knowledge to shape Citi's front-end engineering future. What you'll do within the Tech Strategy team: Build AI-powered product interfaces from 0-1 - Engineer production-grade, business-facing UI platforms in React with intuitive, accessible, and delightful user experiences from day one Design and build sophisticated component libraries and design systems - Create reusable, themeable, and well-documented React component libraries that ensure visual consistency and accelerate development across the organisation Architect scalable front-end applications - Design robust client-side architectures using React, TypeScript, and modern state management patterns that handle complex data flows and real-time interactions at enterprise scale Champion front-end performance and accessibility - Optimise rendering performance, bundle sizes, and Core Web Vitals while ensuring all products meet WCAG accessibility standards Drive modern front-end engineering practices - Establish best practices in component testing, visual regression testing, CI/CD for front-end assets, and developer tooling to maintain velocity without sacrificing quality Mentor and elevate the team - Guide other engineers on React patterns, front-end architecture, responsive design, and building interfaces that are beautiful, performant, and inclusive Experience That Will Help You Succeed In This Role Production UI builder - proven track record of architecting and building large-scale, business-facing front-end applications from the ground up, delivering polished products used by thousands of users Advanced React expertise - deep proficiency in React (hooks, context, suspense, server components), including performance optimisation techniques such as memoisation, code splitting, lazy loading, and concurrent rendering TypeScript mastery - strong command of TypeScript for building type-safe, maintainable, and self-documenting front-end codebases at scale Modern state management - extensive experience with state management solutions such as Redux Toolkit, Zustand, Jotai, or React Query/TanStack Query for managing complex client-side and server-side state Design system and component library development - experience building and maintaining enterprise-grade design systems using tools like Storybook, Figma-to-code workflows, and CSS-in-JS solutions (Styled Components, Tailwind CSS, CSS Modules) Next.js and modern React frameworks - hands-on experience with Next.js (App Router, SSR, SSG, ISR) or similar frameworks for building performant, SEO-friendly, and production-ready web applications API integration and data fetching - expertise in consuming RESTful and GraphQL APIs, implementing optimistic updates, caching strategies, and real-time data via WebSockets or Server-Sent Events Testing and quality assurance - building comprehensive test suites using Jest, React Testing Library, Playwright, or Cypress, including unit, integration, visual regression, and end-to-end testing strategies Front-end performance and observability - deep understanding of browser rendering pipelines, Core Web Vitals optimisation, bundle analysis (Webpack, Vite, esbuild), and front-end monitoring/error tracking with tools like Sentry or Datadog RUM Accessibility and inclusive design - strong knowledge of WCAG 2.1+ guidelines, ARIA patterns, screen reader compatibility, and building interfaces that are usable by everyone, including users with disabilities What We Believe In We do not have boundaries between front-end engineering and product development, and we expect all our technical staff to contribute to both as needed. We take a product-focused approach to UI engineering and care about building solutions that are robust, scalable, and delightful for end users. We enjoy working in a fast-paced team tackling cutting-edge front-end challenges by constantly testing and learning. We enjoy pair programming for our UI components and features; we are lean in our approach and remove bureaucracy where we see it. We believe in delivering beautiful, functional interfaces fast, iterating and pivoting as we go, rather than defining the perfect design system upfront. What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career.By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friendsVisit our Global Benefits page to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
14/06/2026
Full time
Senior Front End Engineer - AI ProductsApplylocations: London United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: Job Overview We are Citi's Application, Platform and Engineering team, a start-up with the exciting mission of shaping the direction of travel for the entire bank under the Chief Technology Office, by defining the tech and engineering strategy for the bank. We are a team of talented engineers, product managers and tech SMEs, taking ambiguous concepts and making them real by engineering cutting edge products at planetary scale! We are solely focused on the most modern technology and engineering disciplines such as generative AI, cloud, security, modern app stacks (with Golang, Gatekeeper), open source and the latest and greatest in the Kubernetes ecosystem.Generative AI is a growing space, as a result, we ask that you share with us any specific AI engineering projects utilising LLMs that you're proud of in your application. Ideally these projects should show off complex and clever architectures or a systematic evaluation of an LLM's behaviour. You might be a good fit if you Bring your deep-dive front-end engineering expertise from building polished, high-performance user interfaces for production systems at scale Thrive in a results-driven environment, where flexibility fuels impact Be a game-changer, ready to step beyond your designated role Love the synergy of pair programming? So do we! Seize the opportunity to craft world-class user experiences that bring AI-powered products to life. Jump in! A relentless passion to learn more about modern UI/UX paradigms, design systems, and bringing your knowledge to shape Citi's front-end engineering future. What you'll do within the Tech Strategy team: Build AI-powered product interfaces from 0-1 - Engineer production-grade, business-facing UI platforms in React with intuitive, accessible, and delightful user experiences from day one Design and build sophisticated component libraries and design systems - Create reusable, themeable, and well-documented React component libraries that ensure visual consistency and accelerate development across the organisation Architect scalable front-end applications - Design robust client-side architectures using React, TypeScript, and modern state management patterns that handle complex data flows and real-time interactions at enterprise scale Champion front-end performance and accessibility - Optimise rendering performance, bundle sizes, and Core Web Vitals while ensuring all products meet WCAG accessibility standards Drive modern front-end engineering practices - Establish best practices in component testing, visual regression testing, CI/CD for front-end assets, and developer tooling to maintain velocity without sacrificing quality Mentor and elevate the team - Guide other engineers on React patterns, front-end architecture, responsive design, and building interfaces that are beautiful, performant, and inclusive Experience That Will Help You Succeed In This Role Production UI builder - proven track record of architecting and building large-scale, business-facing front-end applications from the ground up, delivering polished products used by thousands of users Advanced React expertise - deep proficiency in React (hooks, context, suspense, server components), including performance optimisation techniques such as memoisation, code splitting, lazy loading, and concurrent rendering TypeScript mastery - strong command of TypeScript for building type-safe, maintainable, and self-documenting front-end codebases at scale Modern state management - extensive experience with state management solutions such as Redux Toolkit, Zustand, Jotai, or React Query/TanStack Query for managing complex client-side and server-side state Design system and component library development - experience building and maintaining enterprise-grade design systems using tools like Storybook, Figma-to-code workflows, and CSS-in-JS solutions (Styled Components, Tailwind CSS, CSS Modules) Next.js and modern React frameworks - hands-on experience with Next.js (App Router, SSR, SSG, ISR) or similar frameworks for building performant, SEO-friendly, and production-ready web applications API integration and data fetching - expertise in consuming RESTful and GraphQL APIs, implementing optimistic updates, caching strategies, and real-time data via WebSockets or Server-Sent Events Testing and quality assurance - building comprehensive test suites using Jest, React Testing Library, Playwright, or Cypress, including unit, integration, visual regression, and end-to-end testing strategies Front-end performance and observability - deep understanding of browser rendering pipelines, Core Web Vitals optimisation, bundle analysis (Webpack, Vite, esbuild), and front-end monitoring/error tracking with tools like Sentry or Datadog RUM Accessibility and inclusive design - strong knowledge of WCAG 2.1+ guidelines, ARIA patterns, screen reader compatibility, and building interfaces that are usable by everyone, including users with disabilities What We Believe In We do not have boundaries between front-end engineering and product development, and we expect all our technical staff to contribute to both as needed. We take a product-focused approach to UI engineering and care about building solutions that are robust, scalable, and delightful for end users. We enjoy working in a fast-paced team tackling cutting-edge front-end challenges by constantly testing and learning. We enjoy pair programming for our UI components and features; we are lean in our approach and remove bureaucracy where we see it. We believe in delivering beautiful, functional interfaces fast, iterating and pivoting as we go, rather than defining the perfect design system upfront. What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career.By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friendsVisit our Global Benefits page to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
About the role The CTO / Infrastructure Domain Architect is a Senior Architecture and people leadership role within Digital & Technology (D&T), accountable for shaping, governing and evolving the foundational technology capabilities that underpin all digital, data and business platforms at Haleon. This role owns the architecture across core infrastructure and technology domains, ensuring they are secure by design, resilient by default, scalable at global scale and operable under stress, while supporting rapid innovation and delivery. The role leads and develops a capability of Solution Architects across multiple technology domains and is accountable for architectural assurance, guidance and standards, ensuring consistency, confidence and safety across the D&T estate. Working closely with the CTO/CIO leadership team, Cyber Security, Operations, Platform Owners and other Domain Architects, the role ensures Haleon's architecture converges on fewer, strategic technology platforms, delivers end to end outcomes, and meets enterprise expectations for security, resilience, continuity and regulatory compliance. Role purpose To define, govern and lead secure, resilient and scalable technology architectures, while building a strong architecture capability that enables Haleon to operate safely, reliably and at pace in a complex, global environment. Key accountabilities Architecture strategy for foundational D&T and infrastructure capabilities Security by design and resilience by design across the technology estate Leadership and development of Solution Architects across core technology domains Definition and enforcement of architecture standards, patterns and guardrails Architecture assurance, guidance and standards reporting Cross domain alignment with other Domain Architects to ensure coherence Reduction of risk and complexity through convergence on strategic platforms Executive level advisory on technology risk, resilience and investment trade offs Key responsibilities Foundational D&T Architecture (Security & Resilience First) Define domain strategies and target architectures across: Integration (API first, event driven architectures, middleware), Network & Hosting (cloud, hybrid, on prem, connectivity), Data Technology Platforms (data infrastructure, analytics platforms), Transactional AI (AI embedded into operational systems), Digital Workplace (collaboration, devices, identity, endpoint platforms) Ensure all foundational architectures are: Secure by design, Resilient by default, Recoverable, observable and operable under failure scenarios, Aligned to risk appetite and regulatory expectations Leadership & Management of Architecture Capability Provide line management and professional leadership for Solution Architects across: Integration, Network and Hosting, Data Technology, Transactional AI, Digital Workplace Set clear expectations for architectural quality, security, resilience and consistency. Build a high performing architecture capability trusted by delivery teams and senior leaders. Security, Resilience & Continuity by Design Ensure architectures embed: Defence in depth security principles, Availability, capacity and performance engineering, Disaster recovery and business continuity considerations Work closely with Cyber Security, Risk and Operations to ensure: Technology designs meet security and compliance obligations, Platforms remain resilient during incidents, outages and crises Ensure resilience is addressed proactively, not retrospectively. Cross Domain Collaboration with Other Domain Architects Work in close partnership with other Domain Architects (Commercial, Corporate Functions, QSC & R&D, ERP) to: Enable end to end value streams, Avoid siloed technical decisions, Promote reuse of shared platforms and patterns Contribute actively to architecture governance and decision forums. Strategic Platform Convergence & Simplification Drive reduction of technology sprawl and architectural debt across D&T. Steer towards: Fewer strategic cloud, hosting and integration platforms, Standardised data and AI foundations Challenge bespoke solutions that introduce unnecessary risk or fragility. Architecture Governance, Guidance & Assurance Define and enforce architecture standards and reference architectures. Own architecture guidance and standards artefacts, ensuring they are practical and consumable. Provide architecture assurance for major programmes and platform investments. Produce assurance, guidance and standards reports for senior governance forums. Data, Integration & AI Foundations Define secure, scalable integration and data architectures enabling: Real time processes, Trusted, governed data platforms, Responsible, explainable AI embedded in operations Portfolio, Delivery & Transformation Enablement Maintain architectural alignment across programmes, products and platforms. Support transformation through: Technical debt analysis, Resilience and risk gap assessment, Transition roadmaps Enable freedom within guardrails for delivery teams. Executive Technology Advisory Act as a trusted advisor to CTO, CIO and senior technology leadership. Clearly articulate trade offs around: Security vs. speed, Cost vs. resilience, Local optimisation vs. scale Support long term technology investment decisions. Architecture Community & Ways of Working Lead and mature the architecture community. Promote consistent, collaborative architectural decision making. Position Architecture as a strategic enabler of secure and resilient delivery. What good looks like Foundational platforms are secure, resilient and trusted Security and resilience are embedded early, not added later Fewer platforms support more outcomes Architecture standards accelerate delivery safely Technology incidents are reduced through better design Senior leaders trust architectural guidance on risk and resilience Qualifications & experience Essential Extensive experience in Architecture roles Deep experience across infrastructure, integration and platform technologies Demonstrated people management and capability leadership experience Strong background in secure and resilient system design Proven ability to engage and influence senior leaders Preferred / Nice to have Experience operating in large, global, regulated enterprises Track record of cloud and platform convergence Experience architecting AI enabled enterprise platforms Awareness of region specific technology ecosystems (e.g. China), including differing cloud, network and regulatory constraints, and their implications for global architecture Job Posting End Date 2026-06-26 Equal Opportunities Haleon are committed to mobilising our purpose in a way that represents the diverse consumers and communities who rely on our brands every day. It guides us in creating an inclusive culture, where different backgrounds and views are valued and respected - all in support of understanding and best serving the needs of our consumers and unleashing the full potential of our people. It's important to us that Haleon is a place where all our employees feel they truly belong. During the application process, we may ask you to share some personal information, which is entirely voluntary. This information ensures we meet certain regulatory and reporting obligations and supports the development, refinement, and execution of our inclusion and belonging programmes that are open to all Haleon employees. The personal information you provide will be kept confidential, used only for legitimate business purposes, and will never be used in making any employment decisions, including hiring decisions.
14/06/2026
Full time
About the role The CTO / Infrastructure Domain Architect is a Senior Architecture and people leadership role within Digital & Technology (D&T), accountable for shaping, governing and evolving the foundational technology capabilities that underpin all digital, data and business platforms at Haleon. This role owns the architecture across core infrastructure and technology domains, ensuring they are secure by design, resilient by default, scalable at global scale and operable under stress, while supporting rapid innovation and delivery. The role leads and develops a capability of Solution Architects across multiple technology domains and is accountable for architectural assurance, guidance and standards, ensuring consistency, confidence and safety across the D&T estate. Working closely with the CTO/CIO leadership team, Cyber Security, Operations, Platform Owners and other Domain Architects, the role ensures Haleon's architecture converges on fewer, strategic technology platforms, delivers end to end outcomes, and meets enterprise expectations for security, resilience, continuity and regulatory compliance. Role purpose To define, govern and lead secure, resilient and scalable technology architectures, while building a strong architecture capability that enables Haleon to operate safely, reliably and at pace in a complex, global environment. Key accountabilities Architecture strategy for foundational D&T and infrastructure capabilities Security by design and resilience by design across the technology estate Leadership and development of Solution Architects across core technology domains Definition and enforcement of architecture standards, patterns and guardrails Architecture assurance, guidance and standards reporting Cross domain alignment with other Domain Architects to ensure coherence Reduction of risk and complexity through convergence on strategic platforms Executive level advisory on technology risk, resilience and investment trade offs Key responsibilities Foundational D&T Architecture (Security & Resilience First) Define domain strategies and target architectures across: Integration (API first, event driven architectures, middleware), Network & Hosting (cloud, hybrid, on prem, connectivity), Data Technology Platforms (data infrastructure, analytics platforms), Transactional AI (AI embedded into operational systems), Digital Workplace (collaboration, devices, identity, endpoint platforms) Ensure all foundational architectures are: Secure by design, Resilient by default, Recoverable, observable and operable under failure scenarios, Aligned to risk appetite and regulatory expectations Leadership & Management of Architecture Capability Provide line management and professional leadership for Solution Architects across: Integration, Network and Hosting, Data Technology, Transactional AI, Digital Workplace Set clear expectations for architectural quality, security, resilience and consistency. Build a high performing architecture capability trusted by delivery teams and senior leaders. Security, Resilience & Continuity by Design Ensure architectures embed: Defence in depth security principles, Availability, capacity and performance engineering, Disaster recovery and business continuity considerations Work closely with Cyber Security, Risk and Operations to ensure: Technology designs meet security and compliance obligations, Platforms remain resilient during incidents, outages and crises Ensure resilience is addressed proactively, not retrospectively. Cross Domain Collaboration with Other Domain Architects Work in close partnership with other Domain Architects (Commercial, Corporate Functions, QSC & R&D, ERP) to: Enable end to end value streams, Avoid siloed technical decisions, Promote reuse of shared platforms and patterns Contribute actively to architecture governance and decision forums. Strategic Platform Convergence & Simplification Drive reduction of technology sprawl and architectural debt across D&T. Steer towards: Fewer strategic cloud, hosting and integration platforms, Standardised data and AI foundations Challenge bespoke solutions that introduce unnecessary risk or fragility. Architecture Governance, Guidance & Assurance Define and enforce architecture standards and reference architectures. Own architecture guidance and standards artefacts, ensuring they are practical and consumable. Provide architecture assurance for major programmes and platform investments. Produce assurance, guidance and standards reports for senior governance forums. Data, Integration & AI Foundations Define secure, scalable integration and data architectures enabling: Real time processes, Trusted, governed data platforms, Responsible, explainable AI embedded in operations Portfolio, Delivery & Transformation Enablement Maintain architectural alignment across programmes, products and platforms. Support transformation through: Technical debt analysis, Resilience and risk gap assessment, Transition roadmaps Enable freedom within guardrails for delivery teams. Executive Technology Advisory Act as a trusted advisor to CTO, CIO and senior technology leadership. Clearly articulate trade offs around: Security vs. speed, Cost vs. resilience, Local optimisation vs. scale Support long term technology investment decisions. Architecture Community & Ways of Working Lead and mature the architecture community. Promote consistent, collaborative architectural decision making. Position Architecture as a strategic enabler of secure and resilient delivery. What good looks like Foundational platforms are secure, resilient and trusted Security and resilience are embedded early, not added later Fewer platforms support more outcomes Architecture standards accelerate delivery safely Technology incidents are reduced through better design Senior leaders trust architectural guidance on risk and resilience Qualifications & experience Essential Extensive experience in Architecture roles Deep experience across infrastructure, integration and platform technologies Demonstrated people management and capability leadership experience Strong background in secure and resilient system design Proven ability to engage and influence senior leaders Preferred / Nice to have Experience operating in large, global, regulated enterprises Track record of cloud and platform convergence Experience architecting AI enabled enterprise platforms Awareness of region specific technology ecosystems (e.g. China), including differing cloud, network and regulatory constraints, and their implications for global architecture Job Posting End Date 2026-06-26 Equal Opportunities Haleon are committed to mobilising our purpose in a way that represents the diverse consumers and communities who rely on our brands every day. It guides us in creating an inclusive culture, where different backgrounds and views are valued and respected - all in support of understanding and best serving the needs of our consumers and unleashing the full potential of our people. It's important to us that Haleon is a place where all our employees feel they truly belong. During the application process, we may ask you to share some personal information, which is entirely voluntary. This information ensures we meet certain regulatory and reporting obligations and supports the development, refinement, and execution of our inclusion and belonging programmes that are open to all Haleon employees. The personal information you provide will be kept confidential, used only for legitimate business purposes, and will never be used in making any employment decisions, including hiring decisions.
Senior Golang Engineer - AI Product & PlatformsApplylocations: London United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: Job Overview We are Citi's Application, Platform and Engineering team, a start-up with the exciting mission of shaping the direction of travel for the entire bank under the Chief Technology Office, by defining the tech and engineering strategy for the bank. We are a team of talented engineers, product managers and tech SMEs, taking ambiguous concepts and making them real by engineering cutting edge products at planetary scale! We are solely focused on the most modern technology and engineering disciplines such as generative AI, cloud, security, modern app stacks (with Golang, Gatekeeper), open source and the latest and greatest in the Kubernetes ecosystem.Generative AI is a growing space, as a result, we ask that you share with us any specific AI engineering projects utilising LLMs that you're proud of in your application. Ideally these projects should show off complex and clever architectures or a systematic evaluation of an LLM's behaviour. You might be a good fit if you Golang expertise essential. Bring your deep-dive Golang engineering expertise from building high-performance, large-scale production systems. Thrive in a results-driven environment, where flexibility fuels impact Be a game-changer, ready to step beyond your designated role Love the synergy of pair programming? So do we! Seize the opportunity to engineer robust, scalable platforms that power AI applications at enterprise scale. Jump in! A relentless passion to learn more about distributed systems, cloud-native architectures, and bringing your knowledge to shape Citi's engineering future. What you'll do within the Tech Strategy team: Build AI-powered products from 0-1 - Engineer production-grade, business-facing AI platforms with clean, performant, and maintainable Go code from day one Design and build high-performance backend services - Architect and implement low-latency, high-throughput microservices in Go that operate reliably at planetary scale Design and build developer tools and frameworks - Create reusable libraries, SDKs, and internal tooling in Go that accelerate development across fast-paced engineering teams Tackle complex distributed systems challenges - Design solutions for concurrency, fault tolerance, data consistency, and service orchestration across large-scale distributed environments Champion engineering excellence - Drive best practices in code quality, testing strategies, CI/CD pipelines, and observability to maintain velocity without sacrificing reliability Mentor and elevate the team - Guide other engineers on Go idioms, system design patterns, performance optimisation, and building software that scales Experience That Will Help You Succeed In This Role Production system builder - proven track record of architecting and building large-scale, high-availability production applications and business-facing platforms from the ground up using Go Advanced Go expertise - deep proficiency in Go's concurrency model (goroutines, channels, select), memory management, profiling, and performance tuning for latency-sensitive systems Microservices and API design - extensive experience designing, building, and maintaining RESTful and gRPC APIs with a focus on clean contracts, versioning, and backward compatibility in high-traffic production systems HashiCorp Vault and secrets management - experience integrating with Vault for dynamic credentials, secrets engines, and enterprise-scale secrets management within Go services Enterprise authentication & authorization - designing and implementing OAuth, JWT, RBAC, and complex identity systems with fine-grained access controls in business-critical applications Cloud-native and Kubernetes expertise - building, deploying, and operating containerised Go applications in Kubernetes, leveraging service meshes, Helm charts, and cloud-native patterns at enterprise scale AI/ML platform engineering - experience building backend infrastructure and APIs that serve AI/ML models, manage inference pipelines, and support LLM-powered applications at scale Observability and reliability engineering - implementing comprehensive logging, metrics, distributed tracing, and alerting to ensure system health and rapid incident resolution Database and data layer proficiency - strong experience with both SQL (PostgreSQL, MySQL) and NoSQL (Redis, MongoDB, DynamoDB) databases, including schema design, query optimisation, and caching strategies Testing and CI/CD mastery - building robust test suites (unit, integration, end-to-end) and designing CI/CD pipelines that enable rapid, confident deployments to production What We Believe In We do not have boundaries between backend engineering and product development, and we expect all our technical staff to contribute to both as needed. We take a product-focused approach to engineering and care about building solutions that are robust, scalable, and easy for developers to use. We enjoy working in a fast-paced team tackling cutting-edge engineering problems by constantly testing and learning. We enjoy pair programming for our platform services; we are lean in our approach and remove bureaucracy where we see it. We believe in delivering working software fast, iterating and pivoting as we go, rather than defining the perfect architecture upfront. What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career.By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friendsVisit our Global Benefits page to learn more.
14/06/2026
Full time
Senior Golang Engineer - AI Product & PlatformsApplylocations: London United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: Job Overview We are Citi's Application, Platform and Engineering team, a start-up with the exciting mission of shaping the direction of travel for the entire bank under the Chief Technology Office, by defining the tech and engineering strategy for the bank. We are a team of talented engineers, product managers and tech SMEs, taking ambiguous concepts and making them real by engineering cutting edge products at planetary scale! We are solely focused on the most modern technology and engineering disciplines such as generative AI, cloud, security, modern app stacks (with Golang, Gatekeeper), open source and the latest and greatest in the Kubernetes ecosystem.Generative AI is a growing space, as a result, we ask that you share with us any specific AI engineering projects utilising LLMs that you're proud of in your application. Ideally these projects should show off complex and clever architectures or a systematic evaluation of an LLM's behaviour. You might be a good fit if you Golang expertise essential. Bring your deep-dive Golang engineering expertise from building high-performance, large-scale production systems. Thrive in a results-driven environment, where flexibility fuels impact Be a game-changer, ready to step beyond your designated role Love the synergy of pair programming? So do we! Seize the opportunity to engineer robust, scalable platforms that power AI applications at enterprise scale. Jump in! A relentless passion to learn more about distributed systems, cloud-native architectures, and bringing your knowledge to shape Citi's engineering future. What you'll do within the Tech Strategy team: Build AI-powered products from 0-1 - Engineer production-grade, business-facing AI platforms with clean, performant, and maintainable Go code from day one Design and build high-performance backend services - Architect and implement low-latency, high-throughput microservices in Go that operate reliably at planetary scale Design and build developer tools and frameworks - Create reusable libraries, SDKs, and internal tooling in Go that accelerate development across fast-paced engineering teams Tackle complex distributed systems challenges - Design solutions for concurrency, fault tolerance, data consistency, and service orchestration across large-scale distributed environments Champion engineering excellence - Drive best practices in code quality, testing strategies, CI/CD pipelines, and observability to maintain velocity without sacrificing reliability Mentor and elevate the team - Guide other engineers on Go idioms, system design patterns, performance optimisation, and building software that scales Experience That Will Help You Succeed In This Role Production system builder - proven track record of architecting and building large-scale, high-availability production applications and business-facing platforms from the ground up using Go Advanced Go expertise - deep proficiency in Go's concurrency model (goroutines, channels, select), memory management, profiling, and performance tuning for latency-sensitive systems Microservices and API design - extensive experience designing, building, and maintaining RESTful and gRPC APIs with a focus on clean contracts, versioning, and backward compatibility in high-traffic production systems HashiCorp Vault and secrets management - experience integrating with Vault for dynamic credentials, secrets engines, and enterprise-scale secrets management within Go services Enterprise authentication & authorization - designing and implementing OAuth, JWT, RBAC, and complex identity systems with fine-grained access controls in business-critical applications Cloud-native and Kubernetes expertise - building, deploying, and operating containerised Go applications in Kubernetes, leveraging service meshes, Helm charts, and cloud-native patterns at enterprise scale AI/ML platform engineering - experience building backend infrastructure and APIs that serve AI/ML models, manage inference pipelines, and support LLM-powered applications at scale Observability and reliability engineering - implementing comprehensive logging, metrics, distributed tracing, and alerting to ensure system health and rapid incident resolution Database and data layer proficiency - strong experience with both SQL (PostgreSQL, MySQL) and NoSQL (Redis, MongoDB, DynamoDB) databases, including schema design, query optimisation, and caching strategies Testing and CI/CD mastery - building robust test suites (unit, integration, end-to-end) and designing CI/CD pipelines that enable rapid, confident deployments to production What We Believe In We do not have boundaries between backend engineering and product development, and we expect all our technical staff to contribute to both as needed. We take a product-focused approach to engineering and care about building solutions that are robust, scalable, and easy for developers to use. We enjoy working in a fast-paced team tackling cutting-edge engineering problems by constantly testing and learning. We enjoy pair programming for our platform services; we are lean in our approach and remove bureaucracy where we see it. We believe in delivering working software fast, iterating and pivoting as we go, rather than defining the perfect architecture upfront. What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career.By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friendsVisit our Global Benefits page to learn more.
Moneycorp Bank Limited
City Of Westminster, London
Description We are seeking an experienced Senior Service Automation Engineer to build scalable automation capabilities that reduce operational toil, integrate disparate systems, and enable self service consumption within secure guardrails. As Senior Service Automation Engineer, you are the "automate within guardrails" voice - the engineer who sees manual processes and builds automated workflows, connects systems that don't naturally integrate, and creates self service capabilities that empower internal customers while maintaining zero trust security boundaries. This is a senior IC role with strategic influence - you lead through automation expertise, set patterns through implementation, and enable teams through reusable frameworks. Key Responsibilities Build automation services that eliminate manual operational work Develop APIs, backend services and workflow orchestration capabilities Integrate systems across tools such as Jira, GitHub, Azure and monitoring platforms Create reusable frameworks and self service capabilities with secure guardrails Embed zero trust security principles (auth, access control, least privilege) Implement observability (logging, metrics, alerting) and testing Produce clear documentation and runbooks Automation Strategy & Patterns Define automation standards, design patterns and best practices Design resilient workflows (error handling, retries, idempotency) Establish secure integration and API driven automation patterns Recommend tools and platforms to improve automation capability Document frameworks and usage guidance for wider adoption Cross Team Collaboration & Enablement Partner with platform, application, security and operations teams to deliver automation Identify opportunities to reduce manual effort and improve workflows Enable teams through reusable solutions, documentation and guidance Facilitate design sessions to translate manual processes into automation Essential Knowledge, Skills & Experience Strong software engineering background with hands on development experience Expertise in workflow orchestration and event driven architectures Experience designing and integrating RESTful APIs and secure access patterns Proven track record delivering scalable automation that reduces operational toil Experience building self service platforms within secure environments Cloud native development experience (Azure, AWS or GCP) Experience integrating across enterprise tools and platforms Background in regulated environments with security first mindset Ability to influence automation strategy and engineering standards Essential Technical Skills Software Development Proficiency in Python, Go or C# for services and APIs API design, authentication (OAuth2, tokens) and webhook integrations Event driven systems (queues, pub/sub, streaming) Workflow/orchestration tools (e.g. Airflow, Temporal, Logic Apps) Logging, monitoring, tracing and automated testing Cloud & Integration Azure services (Functions, Logic Apps, Event Grid, Service Bus, API Management) CI/CD pipelines (GitHub Actions, Azure DevOps) Security patterns (RBAC, managed identities, zero trust, secrets management) Infrastructure as code concepts (Terraform, Bicep) Container basics (Docker) This is a full time, permanent position with an opportunity to work hybrid in our London office. The role offers a competitive salary, plus a benefits package including private medical health insurance. We are an Equal Opportunity Employer. We are committed to creating a workplace where every individual feels valued, respected and included.
14/06/2026
Full time
Description We are seeking an experienced Senior Service Automation Engineer to build scalable automation capabilities that reduce operational toil, integrate disparate systems, and enable self service consumption within secure guardrails. As Senior Service Automation Engineer, you are the "automate within guardrails" voice - the engineer who sees manual processes and builds automated workflows, connects systems that don't naturally integrate, and creates self service capabilities that empower internal customers while maintaining zero trust security boundaries. This is a senior IC role with strategic influence - you lead through automation expertise, set patterns through implementation, and enable teams through reusable frameworks. Key Responsibilities Build automation services that eliminate manual operational work Develop APIs, backend services and workflow orchestration capabilities Integrate systems across tools such as Jira, GitHub, Azure and monitoring platforms Create reusable frameworks and self service capabilities with secure guardrails Embed zero trust security principles (auth, access control, least privilege) Implement observability (logging, metrics, alerting) and testing Produce clear documentation and runbooks Automation Strategy & Patterns Define automation standards, design patterns and best practices Design resilient workflows (error handling, retries, idempotency) Establish secure integration and API driven automation patterns Recommend tools and platforms to improve automation capability Document frameworks and usage guidance for wider adoption Cross Team Collaboration & Enablement Partner with platform, application, security and operations teams to deliver automation Identify opportunities to reduce manual effort and improve workflows Enable teams through reusable solutions, documentation and guidance Facilitate design sessions to translate manual processes into automation Essential Knowledge, Skills & Experience Strong software engineering background with hands on development experience Expertise in workflow orchestration and event driven architectures Experience designing and integrating RESTful APIs and secure access patterns Proven track record delivering scalable automation that reduces operational toil Experience building self service platforms within secure environments Cloud native development experience (Azure, AWS or GCP) Experience integrating across enterprise tools and platforms Background in regulated environments with security first mindset Ability to influence automation strategy and engineering standards Essential Technical Skills Software Development Proficiency in Python, Go or C# for services and APIs API design, authentication (OAuth2, tokens) and webhook integrations Event driven systems (queues, pub/sub, streaming) Workflow/orchestration tools (e.g. Airflow, Temporal, Logic Apps) Logging, monitoring, tracing and automated testing Cloud & Integration Azure services (Functions, Logic Apps, Event Grid, Service Bus, API Management) CI/CD pipelines (GitHub Actions, Azure DevOps) Security patterns (RBAC, managed identities, zero trust, secrets management) Infrastructure as code concepts (Terraform, Bicep) Container basics (Docker) This is a full time, permanent position with an opportunity to work hybrid in our London office. The role offers a competitive salary, plus a benefits package including private medical health insurance. We are an Equal Opportunity Employer. We are committed to creating a workplace where every individual feels valued, respected and included.
Job Overview We are Citi's Application, Platform and Engineering team, a start up with the exciting mission of shaping the direction of travel for the entire bank under the Chief Technology Office, by defining the tech and engineering strategy for the bank. We are a team of talented engineers, product managers and tech SMEs, taking ambiguous concepts and making them real by engineering cutting edge products at planetary scale! We are solely focused on the most modern technology and engineering disciplines such as generative AI, cloud, security, modern app stacks (with Golang, Gatekeeper), open source and the latest and greatest in the Kubernetes ecosystem. Generative AI is a growing space, as a result, we ask that you share with us any specific AI engineering projects utilising LLMs that you're proud of in your application. Ideally these projects should show off complex and clever architectures or a systematic evaluation of an LLM's behaviour. You might be a good fit if you Golang expertise essential. Bring your deep-dive Golang engineering expertise from building high-performance, large-scale production systems. Thrive in a results-driven environment, where flexibility fuels impact. Be a game-changer, ready to step beyond your designated role. Love the synergy of pair programming? So do we! Seize the opportunity to engineer robust, scalable platforms that power AI applications at enterprise scale. A relentless passion to learn more about distributed systems, cloud-native architectures, and bringing your knowledge to shape Citi's engineering future. What you'll do within the Tech Strategy team Build AI-powered products from 0-1 - Engineer production-grade, business-facing AI platforms with clean, performant, and maintainable Go code from day one. Design and build high-performance backend services - Architect and implement low-latency, high-throughput microservices in Go that operate reliably at planetary scale. Design and build developer tools and frameworks - Create reusable libraries, SDKs, and internal tooling in Go that accelerate development across fast-paced engineering teams. Tackle complex distributed systems challenges - Design solutions for concurrency, fault tolerance, data consistency, and service orchestration across large-scale distributed environments. Champion engineering excellence - Drive best practices in code quality, testing strategies, CI/CD pipelines, and observability to maintain velocity without sacrificing reliability. Mentor and elevate the team - Guide other engineers on Go idioms, system design patterns, performance optimisation, and building software that scales. Experience That Will Help You Succeed In This Role Production system builder - Proven track record of architecting and building large-scale, high-availability production applications and business-facing platforms from the ground up using Go. Advanced Go expertise - Deep proficiency in Go's concurrency model (goroutines, channels, select), memory management, profiling, and performance tuning for latency-sensitive systems. Microservices and API design - Extensive experience designing, building, and maintaining RESTful and gRPC APIs with a focus on clean contracts, versioning, and backward compatibility in high-traffic production systems. HashiCorp Vault and secrets management - Experience integrating with Vault for dynamic credentials, secrets engines, and enterprise-scale secrets management within Go services. Enterprise authentication & authorization - Designing and implementing OAuth, JWT, RBAC, and complex identity systems with fine-grained access controls in business-critical applications. Cloud-native and Kubernetes expertise - Building, deploying, and operating containerised Go applications in Kubernetes, leveraging service meshes, Helm charts, and cloud-native patterns at enterprise scale. AI/ML platform engineering - Experience building backend infrastructure and APIs that serve AI/ML models, manage inference pipelines, and support LLM-powered applications at scale. Observability and reliability engineering - Implementing comprehensive logging, metrics, distributed tracing, and alerting to ensure system health and rapid incident resolution. Database and data layer proficiency - Strong experience with both SQL (PostgreSQL, MySQL) and NoSQL (Redis, MongoDB, DynamoDB) databases, including schema design, query optimisation, and caching strategies. Testing and CI/CD mastery - Building robust test suites (unit, integration, end-to-end) and designing CI/CD pipelines that enable rapid, confident deployments to production. What We Believe In We do not have boundaries between backend engineering and product development, and we expect all our technical staff to contribute to both as needed. We take a product-focused approach to engineering and care about building solutions that are robust, scalable, and easy for developers to use. We enjoy working in a fast-paced team tackling cutting-edge engineering problems by constantly testing and learning. We enjoy pair programming for our platform services; we are lean in our approach and remove bureaucracy where we see it. We believe in delivering working software fast, iterating and pivoting as we go, rather than defining the perfect architecture upfront. What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays). Discretional annual performance related bonus. Private Medical Care & Life Insurance. Employee Assistance Program. Pension Plan. Paid Parental Leave. Special discounts for employees, family, and friends. Visit our Global Benefits page to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group Technology Job Family Systems & Engineering Time Type Full time Most Relevant Skills See the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
14/06/2026
Full time
Job Overview We are Citi's Application, Platform and Engineering team, a start up with the exciting mission of shaping the direction of travel for the entire bank under the Chief Technology Office, by defining the tech and engineering strategy for the bank. We are a team of talented engineers, product managers and tech SMEs, taking ambiguous concepts and making them real by engineering cutting edge products at planetary scale! We are solely focused on the most modern technology and engineering disciplines such as generative AI, cloud, security, modern app stacks (with Golang, Gatekeeper), open source and the latest and greatest in the Kubernetes ecosystem. Generative AI is a growing space, as a result, we ask that you share with us any specific AI engineering projects utilising LLMs that you're proud of in your application. Ideally these projects should show off complex and clever architectures or a systematic evaluation of an LLM's behaviour. You might be a good fit if you Golang expertise essential. Bring your deep-dive Golang engineering expertise from building high-performance, large-scale production systems. Thrive in a results-driven environment, where flexibility fuels impact. Be a game-changer, ready to step beyond your designated role. Love the synergy of pair programming? So do we! Seize the opportunity to engineer robust, scalable platforms that power AI applications at enterprise scale. A relentless passion to learn more about distributed systems, cloud-native architectures, and bringing your knowledge to shape Citi's engineering future. What you'll do within the Tech Strategy team Build AI-powered products from 0-1 - Engineer production-grade, business-facing AI platforms with clean, performant, and maintainable Go code from day one. Design and build high-performance backend services - Architect and implement low-latency, high-throughput microservices in Go that operate reliably at planetary scale. Design and build developer tools and frameworks - Create reusable libraries, SDKs, and internal tooling in Go that accelerate development across fast-paced engineering teams. Tackle complex distributed systems challenges - Design solutions for concurrency, fault tolerance, data consistency, and service orchestration across large-scale distributed environments. Champion engineering excellence - Drive best practices in code quality, testing strategies, CI/CD pipelines, and observability to maintain velocity without sacrificing reliability. Mentor and elevate the team - Guide other engineers on Go idioms, system design patterns, performance optimisation, and building software that scales. Experience That Will Help You Succeed In This Role Production system builder - Proven track record of architecting and building large-scale, high-availability production applications and business-facing platforms from the ground up using Go. Advanced Go expertise - Deep proficiency in Go's concurrency model (goroutines, channels, select), memory management, profiling, and performance tuning for latency-sensitive systems. Microservices and API design - Extensive experience designing, building, and maintaining RESTful and gRPC APIs with a focus on clean contracts, versioning, and backward compatibility in high-traffic production systems. HashiCorp Vault and secrets management - Experience integrating with Vault for dynamic credentials, secrets engines, and enterprise-scale secrets management within Go services. Enterprise authentication & authorization - Designing and implementing OAuth, JWT, RBAC, and complex identity systems with fine-grained access controls in business-critical applications. Cloud-native and Kubernetes expertise - Building, deploying, and operating containerised Go applications in Kubernetes, leveraging service meshes, Helm charts, and cloud-native patterns at enterprise scale. AI/ML platform engineering - Experience building backend infrastructure and APIs that serve AI/ML models, manage inference pipelines, and support LLM-powered applications at scale. Observability and reliability engineering - Implementing comprehensive logging, metrics, distributed tracing, and alerting to ensure system health and rapid incident resolution. Database and data layer proficiency - Strong experience with both SQL (PostgreSQL, MySQL) and NoSQL (Redis, MongoDB, DynamoDB) databases, including schema design, query optimisation, and caching strategies. Testing and CI/CD mastery - Building robust test suites (unit, integration, end-to-end) and designing CI/CD pipelines that enable rapid, confident deployments to production. What We Believe In We do not have boundaries between backend engineering and product development, and we expect all our technical staff to contribute to both as needed. We take a product-focused approach to engineering and care about building solutions that are robust, scalable, and easy for developers to use. We enjoy working in a fast-paced team tackling cutting-edge engineering problems by constantly testing and learning. We enjoy pair programming for our platform services; we are lean in our approach and remove bureaucracy where we see it. We believe in delivering working software fast, iterating and pivoting as we go, rather than defining the perfect architecture upfront. What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays). Discretional annual performance related bonus. Private Medical Care & Life Insurance. Employee Assistance Program. Pension Plan. Paid Parental Leave. Special discounts for employees, family, and friends. Visit our Global Benefits page to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group Technology Job Family Systems & Engineering Time Type Full time Most Relevant Skills See the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
# SAP Solution ArchitectBirmingham, Liverpool, London, Manchester, Telford, WorthingApply for this job Permanent Experienced Professionals Architecture ID 475277-en\_GB About the job you're considering Capgemini is strengthening its SAP architecture capability to support major transformation programmes across the UK Public Sector. In this role, you will play a pivotal part in shaping and delivering enterprise-scale SAP solutions that underpin critical government services and national programmes.We are looking for SAP Solution Architects with deep SAP platform expertise and strong delivery leadership experience. You will operate across the full solution lifecycle - from early shaping and design, through build and deployment, to live service - ensuring that solutions are robust, secure and aligned to both client outcomes and SAP best practice.Our SAP architects act as trusted technical leaders, working closely with clients, delivery teams and partners to design solutions that balance functional fit, technical integrity and long-term sustainability. You will help clients modernise complex ERP landscapes, including SAP S/4HANA transformations, integrations with wider enterprise ecosystems and adoption of modern SAP capabilities.Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your role As an SAP Solution Architect, you will take accountability for the end-to-end solution design and provide architectural leadership throughout delivery.Key responsibilities include:Supporting early lifecycle activities, including solution shaping, estimates and commercial proposalsProducing end-to-end SAP solution architectures covering functional design, technical architecture, integration, data and security (for both brownfield and greenfield solutions)Leading the design of SAP-based solutions across S/4HANA, ECC and associated SAP platforms and servicesAdvising clients on SAP best practices, deployment options and target architectures aligned to their business strategyConfidently presenting complex solutions and architectures, easily translating content for a broad stakeholder groupOwning architecture decisions and ensuring adherence to agreed architecture governance, design standards and delivery controlsWorking closely with delivery managers, functional leads and technical teams to safely deliver solutions into live operationManaging dependencies across SAP modules, non-SAP systems and third-party products in complex enterprise landscapesBuilding strong, trusted-advisor relationships with client stakeholders through clarity, credibility and constructive challengeEngaging with SAP and other partners/vendors to ensure solutions remain aligned with customer strategy, product roadmaps and best practiceOwning technical risk, issue management and resolution within your solution scope and beyondActively contributing to Capgemini's SAP and Architecture communities, sharing knowledge and developing practice capability Your skills and experience EssentialYou will bring strong SAP architecture experience and credibility in front of senior stakeholders and the ability to lead delivery in complex, regulated environments.Able to achieve UK Government Security Check (SC) clearance.We are looking for demonstrable experience in:Designing and delivering SAP solutions at enterprise scale, ideally within Public Sector or similarly complex organisationsSAP S/4HANA (PCE or On-Premise) architectures, including brownfield, greenfield, or hybrid transformation approachesStrong understanding of SAP functional domains (e.g. Finance, Contract Accounting, PSCD/Utilities), with the ability to design cross-functional solutionsSAP technical architecture, including landscape design, security, identity management, data management, networks, environments, transport strategy and non-functional requirementsIntegration of SAP with wider enterprise ecosystems using SAP Integration Suite, APIs, middleware, or event-driven approachesData considerations within SAP programmes, including migration, data quality and cutover planningModern delivery approaches such as Agile, DevOps, CI/CD and structured test and release managementDelivery across on premise, cloud and hybrid SAP environments including SAP RISE awareness/experienceLeading and setting direction for multi-disciplinary delivery teams and managing technical deliverablesStrong communication and stakeholder management skills, particularly when explaining complex architectural decisionsConfident decision-making, issue management and prioritisation aligned to delivery constraints and long-term client strategyResilience and adaptability in fast-moving programmes with changing prioritiesCalm, measured and collaborative in high-intensity situations where critical problem-solving is required (e.g. P1 incidents)Strong commercial awareness including building proposals and delivering to both time-and-materials and fixed-price contractsDesirableThe following experience would be advantageous:Experience working with SAP RISE, SAP BTP, or cloud-hosted SAP environmentsExposure to SAP security and authorisation design, including role concepts and compliance considerationsExperience contributing to large-scale SAP bids, proposals, or solution shaping activitiesUnderstanding of how extension or emerging capabilities (e.g. automation, analytics, or AI-enabled services) complement SAP solutionsExperience operating within formal design authorities or governance boardsPersonal AttributesWe are looking for architects who combine technical authority with strong interpersonal skills and a delivery mindset.You are likely to be:A confident technical leader who takes ownership and accountability for outcomesComfortable challenging assumptions and influencing decisions with evidence, empathy and pragmatismClient-focused, with a strong desire to deliver solutions that genuinely improve outcomesCollaborative and inclusive, able to work effectively across functional, technical and commercial teamsCalm under pressure, with the resilience to manage risk and complexityCurious and motivated to stay current with SAP's evolving roadmap and delivery approaches We are a Disability Confident Employer Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: Declare they have a disability, and Meet the minimum essential criteria for the role. Please opt in during the application process. Your security clearence To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance.To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process. Make it real - what does it mean for you? We realise a Total Reward package should be more than just compensation. At Capgemini we offer range of core and flexible benefits and have a Peer Recognition Portal called Applaud.You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more. Why you should consider Capgemini Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. But when you join Capgemini, you join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts. A powerful source of energy that drives us all to find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses. And it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge and always pushing yourself to do better, you'll build the skills you want. And you'll use them to help our clients leverage technology to grow their business and give innovation that human touch the world needs. So, it might not always be easy, but making the world a better place rarely is. About Capgemini Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion. Make it real
14/06/2026
Full time
# SAP Solution ArchitectBirmingham, Liverpool, London, Manchester, Telford, WorthingApply for this job Permanent Experienced Professionals Architecture ID 475277-en\_GB About the job you're considering Capgemini is strengthening its SAP architecture capability to support major transformation programmes across the UK Public Sector. In this role, you will play a pivotal part in shaping and delivering enterprise-scale SAP solutions that underpin critical government services and national programmes.We are looking for SAP Solution Architects with deep SAP platform expertise and strong delivery leadership experience. You will operate across the full solution lifecycle - from early shaping and design, through build and deployment, to live service - ensuring that solutions are robust, secure and aligned to both client outcomes and SAP best practice.Our SAP architects act as trusted technical leaders, working closely with clients, delivery teams and partners to design solutions that balance functional fit, technical integrity and long-term sustainability. You will help clients modernise complex ERP landscapes, including SAP S/4HANA transformations, integrations with wider enterprise ecosystems and adoption of modern SAP capabilities.Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your role As an SAP Solution Architect, you will take accountability for the end-to-end solution design and provide architectural leadership throughout delivery.Key responsibilities include:Supporting early lifecycle activities, including solution shaping, estimates and commercial proposalsProducing end-to-end SAP solution architectures covering functional design, technical architecture, integration, data and security (for both brownfield and greenfield solutions)Leading the design of SAP-based solutions across S/4HANA, ECC and associated SAP platforms and servicesAdvising clients on SAP best practices, deployment options and target architectures aligned to their business strategyConfidently presenting complex solutions and architectures, easily translating content for a broad stakeholder groupOwning architecture decisions and ensuring adherence to agreed architecture governance, design standards and delivery controlsWorking closely with delivery managers, functional leads and technical teams to safely deliver solutions into live operationManaging dependencies across SAP modules, non-SAP systems and third-party products in complex enterprise landscapesBuilding strong, trusted-advisor relationships with client stakeholders through clarity, credibility and constructive challengeEngaging with SAP and other partners/vendors to ensure solutions remain aligned with customer strategy, product roadmaps and best practiceOwning technical risk, issue management and resolution within your solution scope and beyondActively contributing to Capgemini's SAP and Architecture communities, sharing knowledge and developing practice capability Your skills and experience EssentialYou will bring strong SAP architecture experience and credibility in front of senior stakeholders and the ability to lead delivery in complex, regulated environments.Able to achieve UK Government Security Check (SC) clearance.We are looking for demonstrable experience in:Designing and delivering SAP solutions at enterprise scale, ideally within Public Sector or similarly complex organisationsSAP S/4HANA (PCE or On-Premise) architectures, including brownfield, greenfield, or hybrid transformation approachesStrong understanding of SAP functional domains (e.g. Finance, Contract Accounting, PSCD/Utilities), with the ability to design cross-functional solutionsSAP technical architecture, including landscape design, security, identity management, data management, networks, environments, transport strategy and non-functional requirementsIntegration of SAP with wider enterprise ecosystems using SAP Integration Suite, APIs, middleware, or event-driven approachesData considerations within SAP programmes, including migration, data quality and cutover planningModern delivery approaches such as Agile, DevOps, CI/CD and structured test and release managementDelivery across on premise, cloud and hybrid SAP environments including SAP RISE awareness/experienceLeading and setting direction for multi-disciplinary delivery teams and managing technical deliverablesStrong communication and stakeholder management skills, particularly when explaining complex architectural decisionsConfident decision-making, issue management and prioritisation aligned to delivery constraints and long-term client strategyResilience and adaptability in fast-moving programmes with changing prioritiesCalm, measured and collaborative in high-intensity situations where critical problem-solving is required (e.g. P1 incidents)Strong commercial awareness including building proposals and delivering to both time-and-materials and fixed-price contractsDesirableThe following experience would be advantageous:Experience working with SAP RISE, SAP BTP, or cloud-hosted SAP environmentsExposure to SAP security and authorisation design, including role concepts and compliance considerationsExperience contributing to large-scale SAP bids, proposals, or solution shaping activitiesUnderstanding of how extension or emerging capabilities (e.g. automation, analytics, or AI-enabled services) complement SAP solutionsExperience operating within formal design authorities or governance boardsPersonal AttributesWe are looking for architects who combine technical authority with strong interpersonal skills and a delivery mindset.You are likely to be:A confident technical leader who takes ownership and accountability for outcomesComfortable challenging assumptions and influencing decisions with evidence, empathy and pragmatismClient-focused, with a strong desire to deliver solutions that genuinely improve outcomesCollaborative and inclusive, able to work effectively across functional, technical and commercial teamsCalm under pressure, with the resilience to manage risk and complexityCurious and motivated to stay current with SAP's evolving roadmap and delivery approaches We are a Disability Confident Employer Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: Declare they have a disability, and Meet the minimum essential criteria for the role. Please opt in during the application process. Your security clearence To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance.To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process. Make it real - what does it mean for you? We realise a Total Reward package should be more than just compensation. At Capgemini we offer range of core and flexible benefits and have a Peer Recognition Portal called Applaud.You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more. Why you should consider Capgemini Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. But when you join Capgemini, you join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts. A powerful source of energy that drives us all to find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses. And it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge and always pushing yourself to do better, you'll build the skills you want. And you'll use them to help our clients leverage technology to grow their business and give innovation that human touch the world needs. So, it might not always be easy, but making the world a better place rarely is. About Capgemini Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion. Make it real
About the role The CTO / Infrastructure Domain Architect is a Senior Architecture and people leadership role within Digital & Technology (D&T), accountable for shaping, governing and evolving the foundational technology capabilities that underpin all digital, data and business platforms at Haleon. This role owns the architecture across core infrastructure and technology domains, ensuring they are secure by design, resilient by default, scalable at global scale and operable under stress, while supporting rapid innovation and delivery. The role leads and develops a capability of Solution Architects across multiple technology domains and is accountable for architectural assurance, guidance and standards, ensuring consistency, confidence and safety across the D&T estate. Working closely with the CTO/CIO leadership team, Cyber Security, Operations, Platform Owners and other Domain Architects, the role ensures Haleon's architecture converges on fewer, strategic technology platforms, delivers end to end outcomes, and meets enterprise expectations for security, resilience, continuity and regulatory compliance. The role brings a global technology perspective, including awareness of regionally distinct technology ecosystems such as China, to ensure architectures are globally scalable while accommodating legitimate local constraints. Role purpose To define, govern and lead secure, resilient and scalable technology architectures, while building a strong architecture capability that enables Haleon to operate safely, reliably and at pace in a complex, global environment. Key accountabilities Architecture strategy for foundational D&T and infrastructure capabilities Security by design and resilience by design across the technology estate Leadership and development of Solution Architects across core technology domains Definition and enforcement of architecture standards, patterns and guardrails Architecture assurance, guidance and standards reporting Cross domain alignment with other Domain Architects to ensure coherence Reduction of risk and complexity through convergence on strategic platforms Executive level advisory on technology risk, resilience and investment trade offs Key responsibilities Foundational D&T Architecture (Security & Resilience First) Define domain strategies and target architectures across: Integration (API first, event driven architectures, middleware) Network & Hosting (cloud, hybrid, on prem, connectivity) Data Technology Platforms (data infrastructure, analytics platforms) Transactional AI (AI embedded into operational systems) Digital Workplace (collaboration, devices, identity, endpoint platforms) Ensure all foundational architectures are: Secure by design Resilient by default Recoverable, observable and operable under failure scenarios Aligned to risk appetite and regulatory expectations Leadership & Management of Architecture Capability Provide line management and professional leadership for Solution Architects across: Integration Network and Hosting Data Technology Transactional AI Digital Workplace Set clear expectations for architectural quality, security, resilience and consistency. Build a high performing architecture capability trusted by delivery teams and senior leaders. Security, Resilience & Continuity by Design Ensure architectures embed: Defence in depth security principles Availability, capacity and performance engineering Disaster recovery and business continuity considerations Work closely with Cyber Security, Risk and Operations to ensure: Technology designs meet security and compliance obligations Platforms remain resilient during incidents, outages and crises Ensure resilience is addressed proactively, not retrospectively. Cross Domain Collaboration with Other Domain Architects Work in close partnership with other Domain Architects (Commercial, Corporate Functions, QSC & R&D, ERP) to: Enable end to end value streams Avoid siloed technical decisions Promote reuse of shared platforms and patterns Contribute actively to architecture governance and decision forums. Strategic Platform Convergence & Simplification Drive reduction of technology sprawl and architectural debt across D&T. Steer towards: Fewer strategic cloud, hosting and integration platforms Standardised data and AI foundations Challenge bespoke solutions that introduce unnecessary risk or fragility. Architecture Governance, Guidance & Assurance Define and enforce architecture standards and reference architectures. Own architecture guidance and standards artefacts, ensuring they are practical and consumable. Provide architecture assurance for major programmes and platform investments. Produce assurance, guidance and standards reports for senior governance forums. Data, Integration & AI Foundations Define secure, scalable integration and data architectures enabling: Real time processes Trusted, governed data platforms Responsible, explainable AI embedded in operations Portfolio, Delivery & Transformation Enablement Maintain architectural alignment across programmes, products and platforms. Support transformation through: Technical debt analysis Resilience and risk gap assessment Transition roadmaps Enable freedom within guardrails for delivery teams. Executive Technology Advisory Act as a trusted advisor to CTO, CIO and senior technology leadership. Clearly articulate trade offs around: Security vs. speed Cost vs. resilience Local optimisation vs. scale Support long term technology investment decisions. Architecture Community & Ways of Working Lead and mature the architecture community. Promote consistent, collaborative architectural decision making. Position Architecture as a strategic enabler of secure and resilient delivery. What good looks like Foundational platforms are secure, resilient and trusted Security and resilience are embedded early, not added later Fewer platforms support more outcomes Architecture standards accelerate delivery safely Technology incidents are reduced through better design Senior leaders trust architectural guidance on risk and resilience Qualifications & experience Essential Extensive experience in Architecture roles Deep experience across infrastructure, integration and platform technologies Demonstrated people management and capability leadership experience Strong background in secure and resilient system design Proven ability to engage and influence senior leaders Preferred / Nice to have Experience operating in large, global, regulated enterprises Track record of cloud and platform convergence Experience architecting AI enabled enterprise platforms Awareness of region specific technology ecosystems (e.g. China), including differing cloud, network and regulatory constraints, and their implications for global architecture Equal Opportunities Haleon are committed to mobilising our purpose in a way that represents the diverse consumers and communities who rely on our brands every day. It guides us in creating an inclusive culture, where different backgrounds and views are valued and respected - all in support of understanding and best serving the needs of our consumers and unleashing the full potential of our people. It's important to us that Haleon is a place where all our employees feel they truly belong. During the application process, we may ask you to share some personal information, which is entirely voluntary. This information ensures we meet certain regulatory and reporting obligations and supports the development, refinement, and execution of our inclusion and belonging programmes that are open to all Haleon employees. The personal information you provide will be kept confidential, used only for legitimate business purposes, and will never be used in making any employment decisions, including hiring decisions.
14/06/2026
Full time
About the role The CTO / Infrastructure Domain Architect is a Senior Architecture and people leadership role within Digital & Technology (D&T), accountable for shaping, governing and evolving the foundational technology capabilities that underpin all digital, data and business platforms at Haleon. This role owns the architecture across core infrastructure and technology domains, ensuring they are secure by design, resilient by default, scalable at global scale and operable under stress, while supporting rapid innovation and delivery. The role leads and develops a capability of Solution Architects across multiple technology domains and is accountable for architectural assurance, guidance and standards, ensuring consistency, confidence and safety across the D&T estate. Working closely with the CTO/CIO leadership team, Cyber Security, Operations, Platform Owners and other Domain Architects, the role ensures Haleon's architecture converges on fewer, strategic technology platforms, delivers end to end outcomes, and meets enterprise expectations for security, resilience, continuity and regulatory compliance. The role brings a global technology perspective, including awareness of regionally distinct technology ecosystems such as China, to ensure architectures are globally scalable while accommodating legitimate local constraints. Role purpose To define, govern and lead secure, resilient and scalable technology architectures, while building a strong architecture capability that enables Haleon to operate safely, reliably and at pace in a complex, global environment. Key accountabilities Architecture strategy for foundational D&T and infrastructure capabilities Security by design and resilience by design across the technology estate Leadership and development of Solution Architects across core technology domains Definition and enforcement of architecture standards, patterns and guardrails Architecture assurance, guidance and standards reporting Cross domain alignment with other Domain Architects to ensure coherence Reduction of risk and complexity through convergence on strategic platforms Executive level advisory on technology risk, resilience and investment trade offs Key responsibilities Foundational D&T Architecture (Security & Resilience First) Define domain strategies and target architectures across: Integration (API first, event driven architectures, middleware) Network & Hosting (cloud, hybrid, on prem, connectivity) Data Technology Platforms (data infrastructure, analytics platforms) Transactional AI (AI embedded into operational systems) Digital Workplace (collaboration, devices, identity, endpoint platforms) Ensure all foundational architectures are: Secure by design Resilient by default Recoverable, observable and operable under failure scenarios Aligned to risk appetite and regulatory expectations Leadership & Management of Architecture Capability Provide line management and professional leadership for Solution Architects across: Integration Network and Hosting Data Technology Transactional AI Digital Workplace Set clear expectations for architectural quality, security, resilience and consistency. Build a high performing architecture capability trusted by delivery teams and senior leaders. Security, Resilience & Continuity by Design Ensure architectures embed: Defence in depth security principles Availability, capacity and performance engineering Disaster recovery and business continuity considerations Work closely with Cyber Security, Risk and Operations to ensure: Technology designs meet security and compliance obligations Platforms remain resilient during incidents, outages and crises Ensure resilience is addressed proactively, not retrospectively. Cross Domain Collaboration with Other Domain Architects Work in close partnership with other Domain Architects (Commercial, Corporate Functions, QSC & R&D, ERP) to: Enable end to end value streams Avoid siloed technical decisions Promote reuse of shared platforms and patterns Contribute actively to architecture governance and decision forums. Strategic Platform Convergence & Simplification Drive reduction of technology sprawl and architectural debt across D&T. Steer towards: Fewer strategic cloud, hosting and integration platforms Standardised data and AI foundations Challenge bespoke solutions that introduce unnecessary risk or fragility. Architecture Governance, Guidance & Assurance Define and enforce architecture standards and reference architectures. Own architecture guidance and standards artefacts, ensuring they are practical and consumable. Provide architecture assurance for major programmes and platform investments. Produce assurance, guidance and standards reports for senior governance forums. Data, Integration & AI Foundations Define secure, scalable integration and data architectures enabling: Real time processes Trusted, governed data platforms Responsible, explainable AI embedded in operations Portfolio, Delivery & Transformation Enablement Maintain architectural alignment across programmes, products and platforms. Support transformation through: Technical debt analysis Resilience and risk gap assessment Transition roadmaps Enable freedom within guardrails for delivery teams. Executive Technology Advisory Act as a trusted advisor to CTO, CIO and senior technology leadership. Clearly articulate trade offs around: Security vs. speed Cost vs. resilience Local optimisation vs. scale Support long term technology investment decisions. Architecture Community & Ways of Working Lead and mature the architecture community. Promote consistent, collaborative architectural decision making. Position Architecture as a strategic enabler of secure and resilient delivery. What good looks like Foundational platforms are secure, resilient and trusted Security and resilience are embedded early, not added later Fewer platforms support more outcomes Architecture standards accelerate delivery safely Technology incidents are reduced through better design Senior leaders trust architectural guidance on risk and resilience Qualifications & experience Essential Extensive experience in Architecture roles Deep experience across infrastructure, integration and platform technologies Demonstrated people management and capability leadership experience Strong background in secure and resilient system design Proven ability to engage and influence senior leaders Preferred / Nice to have Experience operating in large, global, regulated enterprises Track record of cloud and platform convergence Experience architecting AI enabled enterprise platforms Awareness of region specific technology ecosystems (e.g. China), including differing cloud, network and regulatory constraints, and their implications for global architecture Equal Opportunities Haleon are committed to mobilising our purpose in a way that represents the diverse consumers and communities who rely on our brands every day. It guides us in creating an inclusive culture, where different backgrounds and views are valued and respected - all in support of understanding and best serving the needs of our consumers and unleashing the full potential of our people. It's important to us that Haleon is a place where all our employees feel they truly belong. During the application process, we may ask you to share some personal information, which is entirely voluntary. This information ensures we meet certain regulatory and reporting obligations and supports the development, refinement, and execution of our inclusion and belonging programmes that are open to all Haleon employees. The personal information you provide will be kept confidential, used only for legitimate business purposes, and will never be used in making any employment decisions, including hiring decisions.
Job Overview We are Citi's Application, Platform and Engineering team, a start up with the exciting mission of shaping the direction of travel for the entire bank under the Chief Technology Office, by defining the tech and engineering strategy for the bank. We are a team of talented engineers, product managers and tech SMEs, taking ambiguous concepts and making them real by engineering cutting edge products at planetary scale! We are solely focused on the most modern technology and engineering disciplines such as generative AI, cloud, security, modern app stacks (with Golang, Gatekeeper), open source and the latest and greatest in the Kubernetes ecosystem. Generative AI is a growing space; we ask that you share with us any specific AI engineering projects utilising LLMs that you're proud of in your application. Ideally these projects should show off complex and clever architectures or a systematic evaluation of an LLM's behaviour. You might be a good fit if you Golang expertise essential. Bring your deep dive Golang engineering expertise from building high performance, large scale production systems. Thrive in a results driven environment, where flexibility fuels impact. Be a game changer, ready to step beyond your designated role. Love the synergy of pair programming? So do we! Seize the opportunity to engineer robust, scalable platforms that power AI applications at enterprise scale. Jump in! A relentless passion to learn more about distributed systems, cloud native architectures, and bringing your knowledge to shape Citi's engineering future. What you'll do within the Tech Strategy team Build AI powered products from 0 1 - Engineer production grade, business facing AI platforms with clean, performant, and maintainable Go code from day one. Design and build high performance backend services - Architect and implement low latency, high throughput microservices in Go that operate reliably at planetary scale. Design and build developer tools and frameworks - Create reusable libraries, SDKs, and internal tooling in Go that accelerate development across fast paced engineering teams. Tackle complex distributed systems challenges - Design solutions for concurrency, fault tolerance, data consistency, and service orchestration across large scale distributed environments. Champion engineering excellence - Drive best practices in code quality, testing strategies, CI/CD pipelines, and observability to maintain velocity without sacrificing reliability. Mentor and elevate the team - Guide other engineers on Go idioms, system design patterns, performance optimisation, and building software that scales. Experience That Will Help You Succeed In This Role Production system builder - proven track record of architecting and building large scale, high availability production applications and business facing platforms from the ground up using Go. Advanced Go expertise - deep proficiency in Go's concurrency model (goroutines, channels, select), memory management, profiling, and performance tuning for latency sensitive systems. Microservices and API design - extensive experience designing, building, and maintaining RESTful and gRPC APIs with a focus on clean contracts, versioning, and backward compatibility in high traffic production systems. HashiCorp Vault and secrets management - experience integrating with Vault for dynamic credentials, secrets engines, and enterprise scale secrets management within Go services. Enterprise authentication & authorization - designing and implementing OAuth, JWT, RBAC, and complex identity systems with fine grained access controls in business critical applications. Cloud native and Kubernetes expertise - building, deploying, and operating containerised Go applications in Kubernetes, leveraging service meshes, Helm charts, and cloud native patterns at enterprise scale. AI/ML platform engineering - experience building backend infrastructure and APIs that serve AI/ML models, manage inference pipelines, and support LLM powered applications at scale. Observability and reliability engineering - implementing comprehensive logging, metrics, distributed tracing, and alerting to ensure system health and rapid incident resolution. Database and data layer proficiency - strong experience with both SQL (PostgreSQL, MySQL) and NoSQL (Redis, MongoDB, DynamoDB) databases, including schema design, query optimisation, and caching strategies. Testing and CI/CD mastery - building robust test suites (unit, integration, end to end) and designing CI/CD pipelines that enable rapid, confident deployments to production. What We Believe In We do not have boundaries between backend engineering and product development, and we expect all our technical staff to contribute to both as needed. We take a product focused approach to engineering and care about building solutions that are robust, scalable, and easy for developers to use. We enjoy working in a fast paced team tackling cutting edge engineering problems by constantly testing and learning. We enjoy pair programming for our platform services; we are lean in our approach and remove bureaucracy where we see it. We believe in delivering working software fast, iterating and pivoting as we go, rather than defining the perfect architecture upfront. What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave/li> Special discounts for employees, family, and friends Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
14/06/2026
Full time
Job Overview We are Citi's Application, Platform and Engineering team, a start up with the exciting mission of shaping the direction of travel for the entire bank under the Chief Technology Office, by defining the tech and engineering strategy for the bank. We are a team of talented engineers, product managers and tech SMEs, taking ambiguous concepts and making them real by engineering cutting edge products at planetary scale! We are solely focused on the most modern technology and engineering disciplines such as generative AI, cloud, security, modern app stacks (with Golang, Gatekeeper), open source and the latest and greatest in the Kubernetes ecosystem. Generative AI is a growing space; we ask that you share with us any specific AI engineering projects utilising LLMs that you're proud of in your application. Ideally these projects should show off complex and clever architectures or a systematic evaluation of an LLM's behaviour. You might be a good fit if you Golang expertise essential. Bring your deep dive Golang engineering expertise from building high performance, large scale production systems. Thrive in a results driven environment, where flexibility fuels impact. Be a game changer, ready to step beyond your designated role. Love the synergy of pair programming? So do we! Seize the opportunity to engineer robust, scalable platforms that power AI applications at enterprise scale. Jump in! A relentless passion to learn more about distributed systems, cloud native architectures, and bringing your knowledge to shape Citi's engineering future. What you'll do within the Tech Strategy team Build AI powered products from 0 1 - Engineer production grade, business facing AI platforms with clean, performant, and maintainable Go code from day one. Design and build high performance backend services - Architect and implement low latency, high throughput microservices in Go that operate reliably at planetary scale. Design and build developer tools and frameworks - Create reusable libraries, SDKs, and internal tooling in Go that accelerate development across fast paced engineering teams. Tackle complex distributed systems challenges - Design solutions for concurrency, fault tolerance, data consistency, and service orchestration across large scale distributed environments. Champion engineering excellence - Drive best practices in code quality, testing strategies, CI/CD pipelines, and observability to maintain velocity without sacrificing reliability. Mentor and elevate the team - Guide other engineers on Go idioms, system design patterns, performance optimisation, and building software that scales. Experience That Will Help You Succeed In This Role Production system builder - proven track record of architecting and building large scale, high availability production applications and business facing platforms from the ground up using Go. Advanced Go expertise - deep proficiency in Go's concurrency model (goroutines, channels, select), memory management, profiling, and performance tuning for latency sensitive systems. Microservices and API design - extensive experience designing, building, and maintaining RESTful and gRPC APIs with a focus on clean contracts, versioning, and backward compatibility in high traffic production systems. HashiCorp Vault and secrets management - experience integrating with Vault for dynamic credentials, secrets engines, and enterprise scale secrets management within Go services. Enterprise authentication & authorization - designing and implementing OAuth, JWT, RBAC, and complex identity systems with fine grained access controls in business critical applications. Cloud native and Kubernetes expertise - building, deploying, and operating containerised Go applications in Kubernetes, leveraging service meshes, Helm charts, and cloud native patterns at enterprise scale. AI/ML platform engineering - experience building backend infrastructure and APIs that serve AI/ML models, manage inference pipelines, and support LLM powered applications at scale. Observability and reliability engineering - implementing comprehensive logging, metrics, distributed tracing, and alerting to ensure system health and rapid incident resolution. Database and data layer proficiency - strong experience with both SQL (PostgreSQL, MySQL) and NoSQL (Redis, MongoDB, DynamoDB) databases, including schema design, query optimisation, and caching strategies. Testing and CI/CD mastery - building robust test suites (unit, integration, end to end) and designing CI/CD pipelines that enable rapid, confident deployments to production. What We Believe In We do not have boundaries between backend engineering and product development, and we expect all our technical staff to contribute to both as needed. We take a product focused approach to engineering and care about building solutions that are robust, scalable, and easy for developers to use. We enjoy working in a fast paced team tackling cutting edge engineering problems by constantly testing and learning. We enjoy pair programming for our platform services; we are lean in our approach and remove bureaucracy where we see it. We believe in delivering working software fast, iterating and pivoting as we go, rather than defining the perfect architecture upfront. What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave/li> Special discounts for employees, family, and friends Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Overview My client, a data centric global organization are currently seeking a senior Cloud Architect with a breadth and depth of experience deploying enterprise solutions across a number of cloud technologies. Reporting to the director of Global Architecture, the successful candidate will join the London-based EMEA Technical Architecture team whilst working on technical Cloud strategy, the implementation of new SOA based product offerings and aiding with the evolution of existing product offerings. Responsibilities As the Senior Cloud Architect you must have demonstrable success and experience in delivering Cloud services end-to-end, from requirements gathering and design, through to launch and on-going maintenance and have a strong infrastructure background. A solid understanding of Public and Private Cloud (both IaaS and PaaS) offerings, integration of hybrid Cloud solutions, data and application security in those environments, HTTP/REST/SOA and distributed storage are a must. Ideally you will have experience with Big Data or Data Warehousing solutions. Qualifications Excellent interpersonal, written and oral communication skills; (Ideally) experience working with data warehousing and/or BI solutions and concepts; A strong understanding of infrastructure architecture principles; A demonstrable working knowledge of the following: Current IaaS/PaaS offerings (public and private); Current storage and storage transport technologies (ideally with experience around distributed storage); Current web technologies such as HTTP, SSL/TLS, DNS, WebSockets, etc; Current database technologies such as MySQL and Oracle (and ideally experience with NoSQL/BigData solutions such as HBase, Cassandra, MongoDB); Benefits Location: London Salary: Very competitive
14/06/2026
Full time
Overview My client, a data centric global organization are currently seeking a senior Cloud Architect with a breadth and depth of experience deploying enterprise solutions across a number of cloud technologies. Reporting to the director of Global Architecture, the successful candidate will join the London-based EMEA Technical Architecture team whilst working on technical Cloud strategy, the implementation of new SOA based product offerings and aiding with the evolution of existing product offerings. Responsibilities As the Senior Cloud Architect you must have demonstrable success and experience in delivering Cloud services end-to-end, from requirements gathering and design, through to launch and on-going maintenance and have a strong infrastructure background. A solid understanding of Public and Private Cloud (both IaaS and PaaS) offerings, integration of hybrid Cloud solutions, data and application security in those environments, HTTP/REST/SOA and distributed storage are a must. Ideally you will have experience with Big Data or Data Warehousing solutions. Qualifications Excellent interpersonal, written and oral communication skills; (Ideally) experience working with data warehousing and/or BI solutions and concepts; A strong understanding of infrastructure architecture principles; A demonstrable working knowledge of the following: Current IaaS/PaaS offerings (public and private); Current storage and storage transport technologies (ideally with experience around distributed storage); Current web technologies such as HTTP, SSL/TLS, DNS, WebSockets, etc; Current database technologies such as MySQL and Oracle (and ideally experience with NoSQL/BigData solutions such as HBase, Cassandra, MongoDB); Benefits Location: London Salary: Very competitive
At ENGIE, we're on a mission to accelerate the transition towards a carbon-neutral world As Deputy to the Energy Management UK CIO, your role will be pivotal in shaping and executing locally the technology strategy of S&EM and ENGIE Group. You will lead initiatives focussed on AI-driven innovation, data transformation, and digital enablement across trading, risk, and operations. Acting as a strategic advisor and operational leader on the BP UK, you will ensure that technology capabilities are aligned with the fast-paced demands of energy markets and regulatory environments. Join us in shaping the future of energy through cutting-edge AI, data analytics, and digital solutions. Summary of what you will do Co-develop and execute the IT strategy for EM UK, focusing on AI, data analytics, and digital transformation Lead enterprise-wide data strategy initiatives, including governance, architecture, and quality Oversee the development and deployment of AI within the UK IS team Ensure robust, scalable, and secure IT operations across trading platforms and market data systems Act as a strategic advisor on the BP UK, aligning technology capabilities with energy market demands Drive automation and efficiency in IT service delivery and support Manage relationships with vendors, exchanges, and technology partners Lead IT governance initiatives, including architecture reviews and investment prioritisation What you will bring to the role Proven experience in senior IT leadership roles within energy trading, financial services, or commodity markets Deep understanding of trading systems, market data, and risk platforms Solid exposure to AI/ML deployment, data engineering, and cloud transformation Experience with regulatory compliance and cybersecurity in trading environments Master's degree in Computer Science, Engineering, or a related field Strategic thinker with a hands-on approach to delivery Strong business acumen and understanding of energy markets Excellent communication and stakeholder management skills Passion for innovation and emerging technologies Job Based In London, UK (Hybrid working arrangement) What We Offer Competitive salary commensurate with experience Opportunity to shape the technological future of a global energy leader Exposure to cutting-edge technologies and innovative projects Collaborative and diverse work environment Continuous learning and development opportunities Flexible working arrangements to support work-life balance Comprehensive health and wellness benefits Pension scheme and employee share ownership programs Opportunity to contribute to meaningful projects that impact climate change Why We Care At ENGIE, we believe that technology is a key enabler in our mission to lead the energy transition. By joining our team, you'll be at the forefront of innovation, helping to create sustainable solutions that benefit both our customers and the planet. We're committed to fostering a diverse and inclusive workplace where every talent has the opportunity to thrive and make a real difference. At ENGIE, every talent has a role to play in accelerating the energy transition. Make a difference and enjoy a fulfilling professional experience. Take on exciting challenges and build a career path that reflects who you are. Join us and be part of the adventure of the century! ENGIE is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and actively encourage applications from all qualified individuals. If you require any accommodations during the recruitment process, please let us know. Business Unit: Supply & Energy Management Division: BP UNITED KINGDOM Legal Entity: ENGIE UK Limited Professional Experience: Skilled ( >3 experience Education Level: Master's Degree Company Name: ENGIE UK Why this matters to us Our organisation is an equal opportunity employer and is committed to fostering a diverse and inclusive workplace. We offer reasonable accommodations upon request for individuals with disabilities.
14/06/2026
Full time
At ENGIE, we're on a mission to accelerate the transition towards a carbon-neutral world As Deputy to the Energy Management UK CIO, your role will be pivotal in shaping and executing locally the technology strategy of S&EM and ENGIE Group. You will lead initiatives focussed on AI-driven innovation, data transformation, and digital enablement across trading, risk, and operations. Acting as a strategic advisor and operational leader on the BP UK, you will ensure that technology capabilities are aligned with the fast-paced demands of energy markets and regulatory environments. Join us in shaping the future of energy through cutting-edge AI, data analytics, and digital solutions. Summary of what you will do Co-develop and execute the IT strategy for EM UK, focusing on AI, data analytics, and digital transformation Lead enterprise-wide data strategy initiatives, including governance, architecture, and quality Oversee the development and deployment of AI within the UK IS team Ensure robust, scalable, and secure IT operations across trading platforms and market data systems Act as a strategic advisor on the BP UK, aligning technology capabilities with energy market demands Drive automation and efficiency in IT service delivery and support Manage relationships with vendors, exchanges, and technology partners Lead IT governance initiatives, including architecture reviews and investment prioritisation What you will bring to the role Proven experience in senior IT leadership roles within energy trading, financial services, or commodity markets Deep understanding of trading systems, market data, and risk platforms Solid exposure to AI/ML deployment, data engineering, and cloud transformation Experience with regulatory compliance and cybersecurity in trading environments Master's degree in Computer Science, Engineering, or a related field Strategic thinker with a hands-on approach to delivery Strong business acumen and understanding of energy markets Excellent communication and stakeholder management skills Passion for innovation and emerging technologies Job Based In London, UK (Hybrid working arrangement) What We Offer Competitive salary commensurate with experience Opportunity to shape the technological future of a global energy leader Exposure to cutting-edge technologies and innovative projects Collaborative and diverse work environment Continuous learning and development opportunities Flexible working arrangements to support work-life balance Comprehensive health and wellness benefits Pension scheme and employee share ownership programs Opportunity to contribute to meaningful projects that impact climate change Why We Care At ENGIE, we believe that technology is a key enabler in our mission to lead the energy transition. By joining our team, you'll be at the forefront of innovation, helping to create sustainable solutions that benefit both our customers and the planet. We're committed to fostering a diverse and inclusive workplace where every talent has the opportunity to thrive and make a real difference. At ENGIE, every talent has a role to play in accelerating the energy transition. Make a difference and enjoy a fulfilling professional experience. Take on exciting challenges and build a career path that reflects who you are. Join us and be part of the adventure of the century! ENGIE is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and actively encourage applications from all qualified individuals. If you require any accommodations during the recruitment process, please let us know. Business Unit: Supply & Energy Management Division: BP UNITED KINGDOM Legal Entity: ENGIE UK Limited Professional Experience: Skilled ( >3 experience Education Level: Master's Degree Company Name: ENGIE UK Why this matters to us Our organisation is an equal opportunity employer and is committed to fostering a diverse and inclusive workplace. We offer reasonable accommodations upon request for individuals with disabilities.
SAP Data & Analytics Architect - Senior Manager The SAP Data & Analytics Architect - Senior Manager leads enterprise-wide data transformation initiatives leveraging SAP's modern analytics and data platform capabilities, including SAP Business Data Cloud (BDC), SAP Datasphere, SAP Analytics Cloud (SAC), and SAP HANA Cloud. This role combines strategic advisory, solution architecture, delivery leadership, and stakeholder engagement to design and implement scalable, high-quality data and analytics solutions that support business transformation objectives. Key Responsibilities Strategy & Leadership Define and drive SAP Data & Analytics strategies aligned with business and digital transformation goals. Lead large-scale transformation programs involving SAP BDC, Datasphere, SAC, AI, and enterprise cloud data platforms. Act as a trusted advisor to executive and senior business stakeholders. Establish best practices, governance frameworks, architectural standards, and delivery methodologies. Provide leadership and mentorship to architecture, analytics, and delivery teams. Solution Architecture & Design Architect end-to-end data and analytics platforms utilizing: SAP Business Data Cloud (BDC) for unified data ecosystems and business context integration. SAP Datasphere for data modeling, federation, virtualization, and semantic layer development. SAP Analytics Cloud (SAC) for reporting, dashboards, planning, and predictive analytics. SAP BDC Connect and Data Products frameworks. Intelligent Applications and Data Packages. Medallion Architecture patterns leveraging SAP HANA Cloud. AI-enabled analytics and data-driven decision support. Key responsibilities include: Designing analytical, semantic, and business-layer data models aligned with organizational KPIs and reporting requirements. Defining data integration strategies across SAP and non SAP environments, including real time, batch, and hybrid architectures. Designing and governing operational reporting solutions, including: SAP S/4HANA Embedded Analytics Virtual Data Models (VDM) CDS Views and Custom CDS Extensions SuccessFactors reporting, domains, and custom field enablement Ensuring scalability, performance optimization, security, and compliance with data governance standards. Integration & Ecosystem Architecture Integrate SAP and non SAP applications, including: SAP S/4HANA SuccessFactors Integrated Business Planning (IBP) BW/4HANA ECC Third party enterprise applications and cloud platforms Design integrations with cloud data platforms such as Azure, AWS, Databricks, and other modern data ecosystems. Leverage APIs, OData services, event driven architectures, and data pipelines. Advise on migration and modernization strategies across SAP transformation journeys, including S/4HANA adoption and analytics modernization. Enable real time analytics and business insights through modern integration patterns. Delivery & Program Management Lead end-to-end SAP Analytics and Planning implementations, including: Requirements gathering Stakeholder workshops Solution design Build and configuration Testing and validation Deployment and hypercare support Oversee Agile, Hybrid, and Waterfall delivery approaches as appropriate. Manage program risks, dependencies, budgets, timelines, and stakeholder expectations. Ensure successful delivery outcomes through governance and quality assurance processes. Business Development & Thought Leadership Support business development activities, including: Solution proposals Client presentations RFP/RFI responses Architecture assessments and roadmap engagements Drive innovation in: AI enabled analytics Embedded analytics Data products and data monetization Enterprise planning and performance management Develop reusable assets, accelerators, frameworks, and best practice methodologies. Contribute to thought leadership and market facing initiatives within the SAP Data & Analytics domain. Required Skills & Experience Functional Expertise Strong understanding of business processes and analytics across: Financial Planning & Analysis (FP&A) Supply Chain Analytics Sales and Commercial Analytics Operational Performance Management Experience designing and delivering end-to-end analytics, reporting, and planning solutions. Strong understanding of enterprise data architecture, governance, and modern data platform concepts. Qualifications Preferred certifications include: SAP Business Data Cloud SAP Analytics Cloud SAP Datasphere SAP BW/4HANA Additional cloud, data, analytics, or architecture certifications are advantageous. Bachelor's or Master's degree in Information Technology, Computer Science, Data Analytics, Engineering, or a related discipline. Experience 10-15+ years of experience in SAP Data & Analytics. 5+ years in architecture leadership, practice leadership, or senior management roles. Proven track record delivering complex, enterprise scale SAP analytics and data transformation programs. Experience leading cross functional teams and engaging with executive stakeholders. Preferred Attributes Experience across multiple industries such as Retail, Consumer Products, Manufacturing, Life Sciences, Financial Services, Energy, or Public Sector. Exposure to AI/ML integration within enterprise analytics platforms. Strong consulting, advisory, or client facing experience. Excellent communication, stakeholder management, and leadership skills. Ability to bridge business strategy and technology execution in complex transformation programs.
14/06/2026
Full time
SAP Data & Analytics Architect - Senior Manager The SAP Data & Analytics Architect - Senior Manager leads enterprise-wide data transformation initiatives leveraging SAP's modern analytics and data platform capabilities, including SAP Business Data Cloud (BDC), SAP Datasphere, SAP Analytics Cloud (SAC), and SAP HANA Cloud. This role combines strategic advisory, solution architecture, delivery leadership, and stakeholder engagement to design and implement scalable, high-quality data and analytics solutions that support business transformation objectives. Key Responsibilities Strategy & Leadership Define and drive SAP Data & Analytics strategies aligned with business and digital transformation goals. Lead large-scale transformation programs involving SAP BDC, Datasphere, SAC, AI, and enterprise cloud data platforms. Act as a trusted advisor to executive and senior business stakeholders. Establish best practices, governance frameworks, architectural standards, and delivery methodologies. Provide leadership and mentorship to architecture, analytics, and delivery teams. Solution Architecture & Design Architect end-to-end data and analytics platforms utilizing: SAP Business Data Cloud (BDC) for unified data ecosystems and business context integration. SAP Datasphere for data modeling, federation, virtualization, and semantic layer development. SAP Analytics Cloud (SAC) for reporting, dashboards, planning, and predictive analytics. SAP BDC Connect and Data Products frameworks. Intelligent Applications and Data Packages. Medallion Architecture patterns leveraging SAP HANA Cloud. AI-enabled analytics and data-driven decision support. Key responsibilities include: Designing analytical, semantic, and business-layer data models aligned with organizational KPIs and reporting requirements. Defining data integration strategies across SAP and non SAP environments, including real time, batch, and hybrid architectures. Designing and governing operational reporting solutions, including: SAP S/4HANA Embedded Analytics Virtual Data Models (VDM) CDS Views and Custom CDS Extensions SuccessFactors reporting, domains, and custom field enablement Ensuring scalability, performance optimization, security, and compliance with data governance standards. Integration & Ecosystem Architecture Integrate SAP and non SAP applications, including: SAP S/4HANA SuccessFactors Integrated Business Planning (IBP) BW/4HANA ECC Third party enterprise applications and cloud platforms Design integrations with cloud data platforms such as Azure, AWS, Databricks, and other modern data ecosystems. Leverage APIs, OData services, event driven architectures, and data pipelines. Advise on migration and modernization strategies across SAP transformation journeys, including S/4HANA adoption and analytics modernization. Enable real time analytics and business insights through modern integration patterns. Delivery & Program Management Lead end-to-end SAP Analytics and Planning implementations, including: Requirements gathering Stakeholder workshops Solution design Build and configuration Testing and validation Deployment and hypercare support Oversee Agile, Hybrid, and Waterfall delivery approaches as appropriate. Manage program risks, dependencies, budgets, timelines, and stakeholder expectations. Ensure successful delivery outcomes through governance and quality assurance processes. Business Development & Thought Leadership Support business development activities, including: Solution proposals Client presentations RFP/RFI responses Architecture assessments and roadmap engagements Drive innovation in: AI enabled analytics Embedded analytics Data products and data monetization Enterprise planning and performance management Develop reusable assets, accelerators, frameworks, and best practice methodologies. Contribute to thought leadership and market facing initiatives within the SAP Data & Analytics domain. Required Skills & Experience Functional Expertise Strong understanding of business processes and analytics across: Financial Planning & Analysis (FP&A) Supply Chain Analytics Sales and Commercial Analytics Operational Performance Management Experience designing and delivering end-to-end analytics, reporting, and planning solutions. Strong understanding of enterprise data architecture, governance, and modern data platform concepts. Qualifications Preferred certifications include: SAP Business Data Cloud SAP Analytics Cloud SAP Datasphere SAP BW/4HANA Additional cloud, data, analytics, or architecture certifications are advantageous. Bachelor's or Master's degree in Information Technology, Computer Science, Data Analytics, Engineering, or a related discipline. Experience 10-15+ years of experience in SAP Data & Analytics. 5+ years in architecture leadership, practice leadership, or senior management roles. Proven track record delivering complex, enterprise scale SAP analytics and data transformation programs. Experience leading cross functional teams and engaging with executive stakeholders. Preferred Attributes Experience across multiple industries such as Retail, Consumer Products, Manufacturing, Life Sciences, Financial Services, Energy, or Public Sector. Exposure to AI/ML integration within enterprise analytics platforms. Strong consulting, advisory, or client facing experience. Excellent communication, stakeholder management, and leadership skills. Ability to bridge business strategy and technology execution in complex transformation programs.
Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview We are Citi's Application, Platform and Engineering team, a start up with the exciting mission of shaping the direction of travel for the entire bank under the Chief Technology Office, by defining the tech and engineering strategy for the bank. We are a team of talented engineers, product managers and tech SMEs, taking ambiguous concepts and making them real by engineering cutting edge products at planetary scale! We are solely focused on the most modern technology and engineering disciplines such as generative AI, cloud, security, modern app stacks (with Golang, Gatekeeper), open source and the latest and greatest in the Kubernetes ecosystem. You might be a good fit if you Bring your deep dive application security engineering expertise from building production systems Thrive in a results driven environment, where flexibility fuels impact Be a game changer, ready to step beyond your designated role Love the synergy of pair programming? Seize the opportunity to secure AI applications at scale. Jump in! A relentless passion to learn more about AI security, LLM attacks, and bringing your knowledge to shape Citi's secure AI future. What you'll do within the Tech Strategy team: Build secure AI products from 0 1 - Engineer production grade, business facing AI platforms with security built in from day one Ethical hacking and red team activities - Conduct penetration testing, vulnerability research, and attack simulation to make our products bulletproof Design and build security tools and frameworks - Create automated security solutions that scale across fast paced development cycles Secure novel AI attack surfaces - Identify and mitigate LLM specific vulnerabilities, prompt injection attacks, and AI model security risks through hands on testing Lead "shift left" security - Embed security practices throughout our rapid development lifecycle while maintaining velocity Mentor security practices - Guide other engineers on secure coding, vulnerability remediation, and security first thinking Experience That Will Help You Succeed In This Role Production system builder with security focus - proven track record of architecting and building secure, large scale production applications and business facing platforms from the ground up Ethical hacking and penetration testing expertise - hands on experience finding and exploiting vulnerabilities, conducting red team exercises, and thinking like an attacker to strengthen defenses State of the art security engineering with Go, Python, JavaScript - you build both security tools and secure production systems in fast paced environments HashiCorp Vault mastery - deep experience writing custom plugins, creating secret engines, implementing dynamic credentials, and extending Vault functionality for enterprise scale secrets management Enterprise authentication & authorization - designing and implementing OAuth, JWT, RBAC, and complex identity systems with fine grained access controls in business critical applications API security and threat modelling - securing REST/GraphQL APIs, conducting threat assessments, and implementing advanced security patterns in high traffic production systems AI/ML security and vulnerability research - understanding of LLM vulnerabilities, model security, prompt injection attacks, and AI specific threat vectors through hands on testing Security automation and tooling - automating manual security processes Cloud native security - securing containerized applications in Kubernetes, service mesh security, and cloud native security patterns at enterprise scale Incident response and forensics - experience investigating, analyzing, and responding to security incidents in live production systems What We Believe In We do not have boundaries between security engineering and product development, and we expect all our technical staff to contribute to both as needed. We take a product focused approach to security and care about building solutions that are robust, scalable, and easy for developers to use. We enjoy working in a fast paced team tackling cutting edge security problems by constantly testing and learning. We enjoy pair programming for our security tools; we are lean in our approach and remove bureaucracy where we see it. We believe in delivering secure solutions fast, iterating and pivoting as we go, rather than defining the perfect security framework upfront. What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Visit our Global Benefits page to learn more. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
14/06/2026
Full time
Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview We are Citi's Application, Platform and Engineering team, a start up with the exciting mission of shaping the direction of travel for the entire bank under the Chief Technology Office, by defining the tech and engineering strategy for the bank. We are a team of talented engineers, product managers and tech SMEs, taking ambiguous concepts and making them real by engineering cutting edge products at planetary scale! We are solely focused on the most modern technology and engineering disciplines such as generative AI, cloud, security, modern app stacks (with Golang, Gatekeeper), open source and the latest and greatest in the Kubernetes ecosystem. You might be a good fit if you Bring your deep dive application security engineering expertise from building production systems Thrive in a results driven environment, where flexibility fuels impact Be a game changer, ready to step beyond your designated role Love the synergy of pair programming? Seize the opportunity to secure AI applications at scale. Jump in! A relentless passion to learn more about AI security, LLM attacks, and bringing your knowledge to shape Citi's secure AI future. What you'll do within the Tech Strategy team: Build secure AI products from 0 1 - Engineer production grade, business facing AI platforms with security built in from day one Ethical hacking and red team activities - Conduct penetration testing, vulnerability research, and attack simulation to make our products bulletproof Design and build security tools and frameworks - Create automated security solutions that scale across fast paced development cycles Secure novel AI attack surfaces - Identify and mitigate LLM specific vulnerabilities, prompt injection attacks, and AI model security risks through hands on testing Lead "shift left" security - Embed security practices throughout our rapid development lifecycle while maintaining velocity Mentor security practices - Guide other engineers on secure coding, vulnerability remediation, and security first thinking Experience That Will Help You Succeed In This Role Production system builder with security focus - proven track record of architecting and building secure, large scale production applications and business facing platforms from the ground up Ethical hacking and penetration testing expertise - hands on experience finding and exploiting vulnerabilities, conducting red team exercises, and thinking like an attacker to strengthen defenses State of the art security engineering with Go, Python, JavaScript - you build both security tools and secure production systems in fast paced environments HashiCorp Vault mastery - deep experience writing custom plugins, creating secret engines, implementing dynamic credentials, and extending Vault functionality for enterprise scale secrets management Enterprise authentication & authorization - designing and implementing OAuth, JWT, RBAC, and complex identity systems with fine grained access controls in business critical applications API security and threat modelling - securing REST/GraphQL APIs, conducting threat assessments, and implementing advanced security patterns in high traffic production systems AI/ML security and vulnerability research - understanding of LLM vulnerabilities, model security, prompt injection attacks, and AI specific threat vectors through hands on testing Security automation and tooling - automating manual security processes Cloud native security - securing containerized applications in Kubernetes, service mesh security, and cloud native security patterns at enterprise scale Incident response and forensics - experience investigating, analyzing, and responding to security incidents in live production systems What We Believe In We do not have boundaries between security engineering and product development, and we expect all our technical staff to contribute to both as needed. We take a product focused approach to security and care about building solutions that are robust, scalable, and easy for developers to use. We enjoy working in a fast paced team tackling cutting edge security problems by constantly testing and learning. We enjoy pair programming for our security tools; we are lean in our approach and remove bureaucracy where we see it. We believe in delivering secure solutions fast, iterating and pivoting as we go, rather than defining the perfect security framework upfront. What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Visit our Global Benefits page to learn more. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Why Valtech? We're advisors, visionaries, creative and techies. We embrace all things digital. We talk to each other. We have fun. We love our clients. We're looking ahead • We are global Why Valtech? We're the experience innovation company - a trusted partner to the world's most recognized brands. To our people we offer growth opportunities, a values -driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you'll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. You'll work alongside multidisciplinary teams of strategists, architects, engineers, analysts, designers and consultants, helping enterprise organisations unlock value through data, AI and modern digital platforms. Our capability is end-to-end; from strategy, discovery and advisory through to architecture, delivery and optimisation. We help clients balance business ambition with technical feasibility, ensuring transformation delivers measurable outcomes, not just great ideas. Working across sectors including financial services, retail, automotive, media, healthcare, public sector and consumer brands, you'll encounter a diverse range of challenges, levels of maturity and transformation priorities. Success in this role requires the ability to adapt your approach to different client environments while maintaining a relentless focus on value and impact. As a Data Director, you'll help organisations define future-state data ecosystems, modernise cloud and data platforms, unlock AI opportunities and build scalable capabilities that drive long term growth. You're a consulting leader who thrives in complex enterprise environments, helping organisations turn data, AI and technology into measurable business outcomes. You're equally comfortable facilitating C suite conversations, shaping transformation roadmaps and guiding clients through large scale change. You combine strategic thinking with hands on technical credibility. Whether defining a data strategy, designing an operating model, modernising a cloud platform or exploring GenAI opportunities, you stay close to delivery and work alongside architects, engineers and product teams to turn vision into reality. You excel in ambiguity, bringing structure to complex challenges and aligning stakeholders around a clear path forward. You connect business objectives, customer needs, operations, technology and data to design solutions that scale across organisations, not just individual systems. You'll build trusted relationships with senior stakeholders, identify growth opportunities and contribute to new business development, while mentoring and developing consultants, architects and engineers across the wider practice. Most importantly, you're pragmatic. You focus on outcomes over theory, balancing strategic ambition with practical delivery to create lasting impact for clients. Must have qualifications Proven experience leading enterprise scale data transformation or AIprogrammes Strong consulting background with experience operating in complex client environments Experience shaping modern data strategies, architectures and operating models Deep understanding of cloud data ecosystems across AWS, Azure or GCP Experience working with modern data platforms and technologies such as Databricks, Snowflake, Fabric or equivalent ecosystems Strong stakeholder management and facilitation skills, including experience engaging senior leadership audiences Hands on technical credibility across data engineering, analytics, AI or architecture disciplines Experience balancing strategic advisory with practical delivery leadership Ability to operate in ambiguity and bring structure to evolving transformation programmes Strong systems thinking, connecting business goals, technology, operations and data Commercial awareness, including experience contributing to proposals, pre sales or account growth Experience working within agile, cross functional delivery environments Excellent communication and presentation skills A collaborative and pragmatic mindset focused on measurable outcomes If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognise that talent comes in many forms, and we value diverse perspectives and a willingness to learn. Commitment to reaching all kinds of people We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we're intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we're creating a more equitable Valtech for all. The benefits This is a full timeposition based in the UK. Beyond a competitive compensation package, we offer: Flexibility, with remote and hybrid work options (country dependent) Career advancement, with international mobility and professional development programs Learning and development, with access to cutting edge tools, training and industry experts Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. Your application process Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L'Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. At Valtech, we don't just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what's next? Join us.
14/06/2026
Full time
Why Valtech? We're advisors, visionaries, creative and techies. We embrace all things digital. We talk to each other. We have fun. We love our clients. We're looking ahead • We are global Why Valtech? We're the experience innovation company - a trusted partner to the world's most recognized brands. To our people we offer growth opportunities, a values -driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you'll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. You'll work alongside multidisciplinary teams of strategists, architects, engineers, analysts, designers and consultants, helping enterprise organisations unlock value through data, AI and modern digital platforms. Our capability is end-to-end; from strategy, discovery and advisory through to architecture, delivery and optimisation. We help clients balance business ambition with technical feasibility, ensuring transformation delivers measurable outcomes, not just great ideas. Working across sectors including financial services, retail, automotive, media, healthcare, public sector and consumer brands, you'll encounter a diverse range of challenges, levels of maturity and transformation priorities. Success in this role requires the ability to adapt your approach to different client environments while maintaining a relentless focus on value and impact. As a Data Director, you'll help organisations define future-state data ecosystems, modernise cloud and data platforms, unlock AI opportunities and build scalable capabilities that drive long term growth. You're a consulting leader who thrives in complex enterprise environments, helping organisations turn data, AI and technology into measurable business outcomes. You're equally comfortable facilitating C suite conversations, shaping transformation roadmaps and guiding clients through large scale change. You combine strategic thinking with hands on technical credibility. Whether defining a data strategy, designing an operating model, modernising a cloud platform or exploring GenAI opportunities, you stay close to delivery and work alongside architects, engineers and product teams to turn vision into reality. You excel in ambiguity, bringing structure to complex challenges and aligning stakeholders around a clear path forward. You connect business objectives, customer needs, operations, technology and data to design solutions that scale across organisations, not just individual systems. You'll build trusted relationships with senior stakeholders, identify growth opportunities and contribute to new business development, while mentoring and developing consultants, architects and engineers across the wider practice. Most importantly, you're pragmatic. You focus on outcomes over theory, balancing strategic ambition with practical delivery to create lasting impact for clients. Must have qualifications Proven experience leading enterprise scale data transformation or AIprogrammes Strong consulting background with experience operating in complex client environments Experience shaping modern data strategies, architectures and operating models Deep understanding of cloud data ecosystems across AWS, Azure or GCP Experience working with modern data platforms and technologies such as Databricks, Snowflake, Fabric or equivalent ecosystems Strong stakeholder management and facilitation skills, including experience engaging senior leadership audiences Hands on technical credibility across data engineering, analytics, AI or architecture disciplines Experience balancing strategic advisory with practical delivery leadership Ability to operate in ambiguity and bring structure to evolving transformation programmes Strong systems thinking, connecting business goals, technology, operations and data Commercial awareness, including experience contributing to proposals, pre sales or account growth Experience working within agile, cross functional delivery environments Excellent communication and presentation skills A collaborative and pragmatic mindset focused on measurable outcomes If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognise that talent comes in many forms, and we value diverse perspectives and a willingness to learn. Commitment to reaching all kinds of people We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we're intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we're creating a more equitable Valtech for all. The benefits This is a full timeposition based in the UK. Beyond a competitive compensation package, we offer: Flexibility, with remote and hybrid work options (country dependent) Career advancement, with international mobility and professional development programs Learning and development, with access to cutting edge tools, training and industry experts Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. Your application process Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L'Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. At Valtech, we don't just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what's next? Join us.
Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview We are Citi's Application, Platform and Engineering team, a start up with the exciting mission of shaping the direction of travel for the entire bank under the Chief Technology Office, by defining the tech and engineering strategy for the bank. We are a team of talented engineers, product managers and tech SMEs, taking ambiguous concepts and making them real by engineering cutting edge products at planetary scale! We are solely focused on the most modern technology and engineering disciplines such as generative AI, cloud, security, modern app stacks (with Golang, Gatekeeper), open source and the latest and greatest in the Kubernetes ecosystem. Generative AI is a growing space, as a result, we ask that you share with us any specific AI engineering projects utilising LLMs that you're proud of in your application. Ideally these projects should show off complex and clever architectures or a systematic evaluation of an LLM's behaviour. You might be a good fit if you Bring your deep dive application security engineering expertise from building production systems Thrive in a results driven environment, where flexibility fuels impact Be a game changer, ready to step beyond your designated role Love the synergy of pair programming? So do we! Seize the opportunity to secure AI applications at scale. Jump in! A relentless passion to learn more about AI security, LLM attacks, and bringing your knowledge to shape Citi's secure AI future. What you'll do within the Tech Strategy team: Build secure AI products from 0-1-Engineer production grade, business facing AI platforms with security built-in from day one Ethical hacking and red team activities Conduct penetration testing, vulnerability research, and attack simulation to make our products bulletproof Design and build security tools and frameworks Create automated security solutions that scale across fast paced development cycles Secure novel AI attack surfaces Identify and mitigate LLM specific vulnerabilities, prompt injection attacks, and AI model security risks through hands on testing Lead "shift left" security Embed security practices throughout our rapid development lifecycle while maintaining velocity Mentor security practices Guide other engineers on secure coding, vulnerability remediation, and security first thinking Experience That Will Help You Succeed In This Role Production system builder with security focus proven track record of architecting and building secure, large scale production applications and business facing platforms from the ground up Ethical hacking and penetration testing expertise hands on experience finding and exploiting vulnerabilities, conducting red team exercises, and thinking like an attacker to strengthen defenses State of the art security engineeringwith Go, Python, JavaScript - you build both security tools and secure production systems in fast paced environments HashiCorp Vault mastery deep experience writing custom plugins, creating secrets engines, implementing dynamic credentials, and extending Vault functionality for enterprise scale secrets management Enterprise authentication & authorization designing and implementing OAuth, JWT, RBAC, and complex identity systems with fine grained access controls in business critical applications API security and threat modelling securing REST/GraphQL APIs, conducting threat assessments, and implementing advanced security patterns in high traffic production systems AI/ML security and vulnerability research understanding of LLM vulnerabilities, model security, prompt injection attacks, and AI specific threat vectors through hands on testing Security automation and tooling- automating manual security processes Cloud native security securing containerized applications in Kubernetes, service mesh security, and cloud native security patterns at enterprise scale Incident response and forensics experience investigating, analyzing, and responding to security incidents in live production systems What We Believe In We do not have boundaries between security engineering and product development, and we expect all our technical staff to contribute to both as needed. We take a product focused approach to security and care about building solutions that are robust, scalable, and easy for developers to use. We enjoy working in a fast paced team tackling cutting edge security problems by constantly testing and learning. We enjoy pair programming for our security tools; we are lean in our approach and remove bureaucracy where we see it. We believe in delivering secure solutions fast, iterating and pivoting as we go, rather than defining the perfect security framework upfront. What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: Benefits 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
14/06/2026
Full time
Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview We are Citi's Application, Platform and Engineering team, a start up with the exciting mission of shaping the direction of travel for the entire bank under the Chief Technology Office, by defining the tech and engineering strategy for the bank. We are a team of talented engineers, product managers and tech SMEs, taking ambiguous concepts and making them real by engineering cutting edge products at planetary scale! We are solely focused on the most modern technology and engineering disciplines such as generative AI, cloud, security, modern app stacks (with Golang, Gatekeeper), open source and the latest and greatest in the Kubernetes ecosystem. Generative AI is a growing space, as a result, we ask that you share with us any specific AI engineering projects utilising LLMs that you're proud of in your application. Ideally these projects should show off complex and clever architectures or a systematic evaluation of an LLM's behaviour. You might be a good fit if you Bring your deep dive application security engineering expertise from building production systems Thrive in a results driven environment, where flexibility fuels impact Be a game changer, ready to step beyond your designated role Love the synergy of pair programming? So do we! Seize the opportunity to secure AI applications at scale. Jump in! A relentless passion to learn more about AI security, LLM attacks, and bringing your knowledge to shape Citi's secure AI future. What you'll do within the Tech Strategy team: Build secure AI products from 0-1-Engineer production grade, business facing AI platforms with security built-in from day one Ethical hacking and red team activities Conduct penetration testing, vulnerability research, and attack simulation to make our products bulletproof Design and build security tools and frameworks Create automated security solutions that scale across fast paced development cycles Secure novel AI attack surfaces Identify and mitigate LLM specific vulnerabilities, prompt injection attacks, and AI model security risks through hands on testing Lead "shift left" security Embed security practices throughout our rapid development lifecycle while maintaining velocity Mentor security practices Guide other engineers on secure coding, vulnerability remediation, and security first thinking Experience That Will Help You Succeed In This Role Production system builder with security focus proven track record of architecting and building secure, large scale production applications and business facing platforms from the ground up Ethical hacking and penetration testing expertise hands on experience finding and exploiting vulnerabilities, conducting red team exercises, and thinking like an attacker to strengthen defenses State of the art security engineeringwith Go, Python, JavaScript - you build both security tools and secure production systems in fast paced environments HashiCorp Vault mastery deep experience writing custom plugins, creating secrets engines, implementing dynamic credentials, and extending Vault functionality for enterprise scale secrets management Enterprise authentication & authorization designing and implementing OAuth, JWT, RBAC, and complex identity systems with fine grained access controls in business critical applications API security and threat modelling securing REST/GraphQL APIs, conducting threat assessments, and implementing advanced security patterns in high traffic production systems AI/ML security and vulnerability research understanding of LLM vulnerabilities, model security, prompt injection attacks, and AI specific threat vectors through hands on testing Security automation and tooling- automating manual security processes Cloud native security securing containerized applications in Kubernetes, service mesh security, and cloud native security patterns at enterprise scale Incident response and forensics experience investigating, analyzing, and responding to security incidents in live production systems What We Believe In We do not have boundaries between security engineering and product development, and we expect all our technical staff to contribute to both as needed. We take a product focused approach to security and care about building solutions that are robust, scalable, and easy for developers to use. We enjoy working in a fast paced team tackling cutting edge security problems by constantly testing and learning. We enjoy pair programming for our security tools; we are lean in our approach and remove bureaucracy where we see it. We believe in delivering secure solutions fast, iterating and pivoting as we go, rather than defining the perfect security framework upfront. What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: Benefits 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Main purpose of the role You will lead the development and delivery of CIFF's internal Artificial Intelligence (AI) and business intelligence (BI) strategy for leveraging artificial intelligence, data, and insights to accelerate operational efficiency and portfolio management. This senior leadership position combines strategic direction with operational execution and is accountable for shaping, building, and deploying AI and BI solutions that strengthen programme effectiveness, help manage risk and resilience (e.g. through diligence) support Monitoring, Evaluation, and Learning (MEL) infrastructure, enable evidence-based decision-making, and enhance organizational transparency. You will deliver agentic AI solutions for CIFF workflows, oversee experimentation and learning cycles, and embed insights into portfolio monitoring, grant life cycle management and performance management, including visualisation and digital dashboards. You will use a combination of hands on technical expertise, social sector understanding, to operate effectively across delivery, advisory, and leadership responsibilities-translating data into decisions and decisions into measurable impact. Role's responsibilities Operating across CIFF's internal technology and data functions, the role reports to the Head - Digital & Technology Solutions and India Operations. It partners closely with programme and operations teams, as well as with the Impact Knowledge Hub (IKH) and the Tech for Impact (T4i) to co design and deliver AI and BI solutions that improve organisational efficiency, portfolio management, and data maturity through internal systems and tools that enable CIFF staff to manage grants, monitor investments and make well informed operational decisions. Strategic Leadership & Vision Define the long term AI and BI strategy to support organisational efficiency, grant management, and portfolio performance monitoring. Identify opportunities where GenAI, advanced analytics, and improved insights can improve internal workflows, due diligence processes, proposal review, grantee reporting, risk management, and operational decision making. Incubate and industrialise agentic AI solutions, platforms, and accelerators for internal use; establish reusable data products and a reliable single source of truth for portfolio data; embed solutions into enterprise workflows for efficiency; and leverage them across programme delivery and internal process optimisation. Promote a culture of data stewardship, data governance, transparency, and ethical AI adoption across the CIFF staff and systems. Ensure agentic AI solutions progress from proofs of concept to scaled, repeatable, value generating offerings through robust Machine Learning(ML)Ops/Large Language Model Ops practices. Lead organisation wide internal adoption of agentic AI to improve productivity, quality, and scalability. Design solutions that (a) remain modular and extensible, (b) meet security and governance requirements and operate at enterprise scale, and (c) demonstrate cost effectiveness and sustainability at organisational scale. Impact Driven Analytics & AI Initiatives Develop AI/ML models that enable strategic scaling of CIFF's operations and collective intelligence (through data visualisation and similar platforms. Support the Enterprise Architect in modernising the BI ecosystem (e.g., semantic layer and self service BI) and deliver real time impact dashboards, programme scorecards, and portfolio insights. Work with missions, programme teams to embed standardised KPIs and outcome indicators into monitoring systems, in line with frameworks set by mission leads and IKH. Scale GenAI solutions to improve internal knowledge management and risk analysis, staff led research and synthesis tools, and operational productivity. Stakeholder Collaboration & Capacity Building Work closely with programme and operational teams, with the T4i and IKH Centres of Excellence, and with the CIFF ecosystem, to co create internal AI and BI solutions aligned with organisational priorities and standards. Build internal capability through training, toolkits, and broader access to analytics for non technical users. Support and collaborate with T4i by providing an internal proving ground for responsible AI approaches, helping pilot and refine solutions before T4i coordinates them externally with grantees and partners. Manage relationships with technology vendors and implementation partners supporting internal systems. Responsible AI, Governance & Compliance Lead and oversee the responsible AI governance approach for internal systems, tools and data products, ensuring internal deployments meet organisational standards. Work with T4i to maintain a shared and aligned responsible AI governance approach, drawing on CIFF's responsible AI framework as the common foundation, and ensuring coherence across internal and programmematic contexts. Ensure data privacy, ethical data use, and compliance with relevant global and regional regulations relevant to philanthropy and non profits. Establish governance mechanisms and data quality controls for sensitive or demographic data used in internal systems to prevent misuse or bias. Team Leadership & Capability Development Develop and lead a multidisciplinary team across AI engineering, data science, analytics, and BI. Establish and sustain an internal AI community of practice to foster innovation and continuous learning amongst CIFF staff. Guide the adoption of modern cloud based data platforms and AI tools suited to CIFF's operational context. Skills & Experience Formal qualifications or certifications in AI, analytics, or digital transformation (e.g. Microsoft AI or analytics leadership certifications) are preferred. However, this role prioritises demonstrated experience in leading enterprise scale AI and BI strategy, adoption, and governance, and the ability to translate insights into measurable organisational impact. Experience in the social sector, large NGOs, philanthropy, or impact driven organisations. Strong expertise in AI/ML, data modelling, analytics strategy, and technology implementation. Demonstrated ability to use data and AI to advance equitable, community focused outcomes. Proven experience partnering with non technical stakeholders and translating insights into measurable, mission aligned actions. Excellent communication capabilities, including presenting insights to executives, board members, donors, and field partners. Experience with GenAI for knowledge management, evidence synthesis, and donor/grantee engagement. Background in ethical AI frameworks, privacy by design, and human centred data governance. Ability to balance technological innovation with community voice, equity, and social responsibility. Strong business and mission alignment, with a demonstrated commitment to advancing positive social outcomes through data. Key working relationships Head - Digital & Technology Solutions and India Operations Head of Technology Support Services Enterprise Architect Head of Change Delivery and team T4i and IKH Centres of Excellence Programme COOs Operations and HR Directors CEO Office Management dimensions 3rd Party Supplier Management including with key suppliers CIFF operates a hybrid work policy across all locations, which means employees work in the office and some of the time from home. We are happy to provide more information on this as part of the recruitment process. Alongside a competitive salary, we offer a generous benefits package here at CIFF that includes, but is not limited to the following. Annual leave - 25 days per annum. Increasing by 1 day after each year of service to a maximum of 30 days. Bonus - CIFF currently operates a discretionary bonus scheme. Training allowance Well being allowance Life insurance Medical insurance
14/06/2026
Full time
Main purpose of the role You will lead the development and delivery of CIFF's internal Artificial Intelligence (AI) and business intelligence (BI) strategy for leveraging artificial intelligence, data, and insights to accelerate operational efficiency and portfolio management. This senior leadership position combines strategic direction with operational execution and is accountable for shaping, building, and deploying AI and BI solutions that strengthen programme effectiveness, help manage risk and resilience (e.g. through diligence) support Monitoring, Evaluation, and Learning (MEL) infrastructure, enable evidence-based decision-making, and enhance organizational transparency. You will deliver agentic AI solutions for CIFF workflows, oversee experimentation and learning cycles, and embed insights into portfolio monitoring, grant life cycle management and performance management, including visualisation and digital dashboards. You will use a combination of hands on technical expertise, social sector understanding, to operate effectively across delivery, advisory, and leadership responsibilities-translating data into decisions and decisions into measurable impact. Role's responsibilities Operating across CIFF's internal technology and data functions, the role reports to the Head - Digital & Technology Solutions and India Operations. It partners closely with programme and operations teams, as well as with the Impact Knowledge Hub (IKH) and the Tech for Impact (T4i) to co design and deliver AI and BI solutions that improve organisational efficiency, portfolio management, and data maturity through internal systems and tools that enable CIFF staff to manage grants, monitor investments and make well informed operational decisions. Strategic Leadership & Vision Define the long term AI and BI strategy to support organisational efficiency, grant management, and portfolio performance monitoring. Identify opportunities where GenAI, advanced analytics, and improved insights can improve internal workflows, due diligence processes, proposal review, grantee reporting, risk management, and operational decision making. Incubate and industrialise agentic AI solutions, platforms, and accelerators for internal use; establish reusable data products and a reliable single source of truth for portfolio data; embed solutions into enterprise workflows for efficiency; and leverage them across programme delivery and internal process optimisation. Promote a culture of data stewardship, data governance, transparency, and ethical AI adoption across the CIFF staff and systems. Ensure agentic AI solutions progress from proofs of concept to scaled, repeatable, value generating offerings through robust Machine Learning(ML)Ops/Large Language Model Ops practices. Lead organisation wide internal adoption of agentic AI to improve productivity, quality, and scalability. Design solutions that (a) remain modular and extensible, (b) meet security and governance requirements and operate at enterprise scale, and (c) demonstrate cost effectiveness and sustainability at organisational scale. Impact Driven Analytics & AI Initiatives Develop AI/ML models that enable strategic scaling of CIFF's operations and collective intelligence (through data visualisation and similar platforms. Support the Enterprise Architect in modernising the BI ecosystem (e.g., semantic layer and self service BI) and deliver real time impact dashboards, programme scorecards, and portfolio insights. Work with missions, programme teams to embed standardised KPIs and outcome indicators into monitoring systems, in line with frameworks set by mission leads and IKH. Scale GenAI solutions to improve internal knowledge management and risk analysis, staff led research and synthesis tools, and operational productivity. Stakeholder Collaboration & Capacity Building Work closely with programme and operational teams, with the T4i and IKH Centres of Excellence, and with the CIFF ecosystem, to co create internal AI and BI solutions aligned with organisational priorities and standards. Build internal capability through training, toolkits, and broader access to analytics for non technical users. Support and collaborate with T4i by providing an internal proving ground for responsible AI approaches, helping pilot and refine solutions before T4i coordinates them externally with grantees and partners. Manage relationships with technology vendors and implementation partners supporting internal systems. Responsible AI, Governance & Compliance Lead and oversee the responsible AI governance approach for internal systems, tools and data products, ensuring internal deployments meet organisational standards. Work with T4i to maintain a shared and aligned responsible AI governance approach, drawing on CIFF's responsible AI framework as the common foundation, and ensuring coherence across internal and programmematic contexts. Ensure data privacy, ethical data use, and compliance with relevant global and regional regulations relevant to philanthropy and non profits. Establish governance mechanisms and data quality controls for sensitive or demographic data used in internal systems to prevent misuse or bias. Team Leadership & Capability Development Develop and lead a multidisciplinary team across AI engineering, data science, analytics, and BI. Establish and sustain an internal AI community of practice to foster innovation and continuous learning amongst CIFF staff. Guide the adoption of modern cloud based data platforms and AI tools suited to CIFF's operational context. Skills & Experience Formal qualifications or certifications in AI, analytics, or digital transformation (e.g. Microsoft AI or analytics leadership certifications) are preferred. However, this role prioritises demonstrated experience in leading enterprise scale AI and BI strategy, adoption, and governance, and the ability to translate insights into measurable organisational impact. Experience in the social sector, large NGOs, philanthropy, or impact driven organisations. Strong expertise in AI/ML, data modelling, analytics strategy, and technology implementation. Demonstrated ability to use data and AI to advance equitable, community focused outcomes. Proven experience partnering with non technical stakeholders and translating insights into measurable, mission aligned actions. Excellent communication capabilities, including presenting insights to executives, board members, donors, and field partners. Experience with GenAI for knowledge management, evidence synthesis, and donor/grantee engagement. Background in ethical AI frameworks, privacy by design, and human centred data governance. Ability to balance technological innovation with community voice, equity, and social responsibility. Strong business and mission alignment, with a demonstrated commitment to advancing positive social outcomes through data. Key working relationships Head - Digital & Technology Solutions and India Operations Head of Technology Support Services Enterprise Architect Head of Change Delivery and team T4i and IKH Centres of Excellence Programme COOs Operations and HR Directors CEO Office Management dimensions 3rd Party Supplier Management including with key suppliers CIFF operates a hybrid work policy across all locations, which means employees work in the office and some of the time from home. We are happy to provide more information on this as part of the recruitment process. Alongside a competitive salary, we offer a generous benefits package here at CIFF that includes, but is not limited to the following. Annual leave - 25 days per annum. Increasing by 1 day after each year of service to a maximum of 30 days. Bonus - CIFF currently operates a discretionary bonus scheme. Training allowance Well being allowance Life insurance Medical insurance
Introduction A career in IBM Consulting is built on long term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long term career development while valuing your unique skills and experiences. Your role and responsibilities As a Senior Data Scientist at IBM, you will lead the design and delivery of AI solutions, advanced analytics and automation for clients across industries. You will work at the intersection of data science, business strategy, and technology, helping clients unlock value from their data assets while mentoring junior team members and shaping IBM's data science capability. Strategic leadership of large end-to-end AI solutions, advanced analytics and automation engagements from discovery to deployment. Act as a trusted advisor to senior client stakeholders, translating business challenges into data driven solutions and articulating the value of AI. Translate complex data into actionable insights and strategic recommendations. Collaborate with cross functional teams including consultants, engineers, and client stakeholders. Design and implement machine learning models, statistical analyses, and AI solutions tailored to client needs. Lead business development through proposal writing, solutioning, and client presentations. Mentor and coach junior data scientists and analysts. Stay current with emerging technologies and methodologies in AI/ML and data science. Required technical and professional expertise Full AI Project Lifecycle: Experience in managing the full AI project lifecycle, from research and prototyping to deployment in production environments in a consulting or enterprise environment. Excellent communication and stakeholder management skills. Advanced Analytics Techniques: Experience with advanced analytics techniques for structured data, including proficiency in Python and AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. NLP and ML Methods: Deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, with expertise in foundation models and large language models. AI Solution Development: Experience in architecting and delivering AI solutions using cutting edge technologies, including tools like Github Copilot and Amazon Code Whisperer. Cloud Platforms and Services: Familiarity with cloud platforms (e.g., Kubernetes, AWS, Azure, GCP, IBM Cloud) and related services, as well as experience with relational and NoSQL databases (SQL, Postgres, DB2, MongoDB). As an equal opportunities' employer, we welcome applications from individuals of all backgrounds. However, for you to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship. Preferred technical and professional experience Foundation in Specialized Areas: Experience with one of the following areas: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies, enabling optimization of AI solutions and driving business value. Proficiency in Modern UI Frameworks: Familiarity with modern UI frameworks such as Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery, allowing for seamless integration with AI solutions. Operating System Knowledge: Experience working with various operating systems, including Linux, Windows, iOS, and Android, facilitating smooth deployment of AI solutions across different environments. PhD or equivalent experience is a plus (preferable in Data Science, Computer Science, Statistics, or a related field. IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
14/06/2026
Full time
Introduction A career in IBM Consulting is built on long term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long term career development while valuing your unique skills and experiences. Your role and responsibilities As a Senior Data Scientist at IBM, you will lead the design and delivery of AI solutions, advanced analytics and automation for clients across industries. You will work at the intersection of data science, business strategy, and technology, helping clients unlock value from their data assets while mentoring junior team members and shaping IBM's data science capability. Strategic leadership of large end-to-end AI solutions, advanced analytics and automation engagements from discovery to deployment. Act as a trusted advisor to senior client stakeholders, translating business challenges into data driven solutions and articulating the value of AI. Translate complex data into actionable insights and strategic recommendations. Collaborate with cross functional teams including consultants, engineers, and client stakeholders. Design and implement machine learning models, statistical analyses, and AI solutions tailored to client needs. Lead business development through proposal writing, solutioning, and client presentations. Mentor and coach junior data scientists and analysts. Stay current with emerging technologies and methodologies in AI/ML and data science. Required technical and professional expertise Full AI Project Lifecycle: Experience in managing the full AI project lifecycle, from research and prototyping to deployment in production environments in a consulting or enterprise environment. Excellent communication and stakeholder management skills. Advanced Analytics Techniques: Experience with advanced analytics techniques for structured data, including proficiency in Python and AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. NLP and ML Methods: Deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, with expertise in foundation models and large language models. AI Solution Development: Experience in architecting and delivering AI solutions using cutting edge technologies, including tools like Github Copilot and Amazon Code Whisperer. Cloud Platforms and Services: Familiarity with cloud platforms (e.g., Kubernetes, AWS, Azure, GCP, IBM Cloud) and related services, as well as experience with relational and NoSQL databases (SQL, Postgres, DB2, MongoDB). As an equal opportunities' employer, we welcome applications from individuals of all backgrounds. However, for you to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship. Preferred technical and professional experience Foundation in Specialized Areas: Experience with one of the following areas: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies, enabling optimization of AI solutions and driving business value. Proficiency in Modern UI Frameworks: Familiarity with modern UI frameworks such as Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery, allowing for seamless integration with AI solutions. Operating System Knowledge: Experience working with various operating systems, including Linux, Windows, iOS, and Android, facilitating smooth deployment of AI solutions across different environments. PhD or equivalent experience is a plus (preferable in Data Science, Computer Science, Statistics, or a related field. IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Senior Security Engineer - AI Products & PlatformsApplylocations: London United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview We are Citi's Application, Platform and Engineering team, a start-up with the exciting mission of shaping the direction of travel for the entire bank under the Chief Technology Office, by defining the tech and engineering strategy for the bank. We are a team of talented engineers, product managers and tech SMEs, taking ambiguous concepts and making them real by engineering cutting edge products at planetary scale! We are solely focused on the most modern technology and engineering disciplines such as generative AI, cloud, security, modern app stacks (with Golang, Gatekeeper), open source and the latest and greatest in the Kubernetes ecosystem. Generative AI is a growing space, as a result, we ask that you share with us any specific AI engineering projects utilising LLMs that you're proud of in your application. Ideally these projects should show off complex and clever architectures or a systematic evaluation of an LLM's behaviour. You might be a good fit if you Bring your deep-dive application security engineering expertise from building production systems Thrive in a results-driven environment, where flexibility fuels impact Be a game-changer, ready to step beyond your designated role Love the synergy of pair programming? So do we! Seize the opportunity to secure AI applications at scale. Jump in! A relentless passion to learn more about AI security, LLM attacks, and bringing your knowledge to shape Citi's secure AI future. What you'll do within the Tech Strategy team: Build secure AI products from 0-1 - Engineer production-grade, business-facing AI platforms with security built-in from day one Ethical hacking and red team activities - Conduct penetration testing, vulnerability research, and attack simulation to make our products bulletproof Design and build security tools and frameworks - Create automated security solutions that scale across fast-paced development cycles Secure novel AI attack surfaces - Identify and mitigate LLM-specific vulnerabilities, prompt injection attacks, and AI model security risks through hands-on testing Lead "shift left" security - Embed security practices throughout our rapid development lifecycle while maintaining velocity Mentor security practices - Guide other engineers on secure coding, vulnerability remediation, and security-first thinking Experience That Will Help You Succeed In This Role Production system builder with security focus - proven track record of architecting and building secure, large-scale production applications and business-facing platforms from the ground up Ethical hacking and penetration testing expertise - hands-on experience finding and exploiting vulnerabilities, conducting red team exercises, and thinking like an attacker to strengthen defenses State-of-the-art security engineering with Go, Python, JavaScript - you build both security tools and secure production systems in fast-paced environments HashiCorp Vault mastery - deep experience writing custom plugins, creating secrets engines, implementing dynamic credentials, and extending Vault functionality for enterprise-scale secrets management Enterprise authentication & authorization - designing and implementing OAuth, JWT, RBAC, and complex identity systems with fine-grained access controls in business-critical applications API security and threat modelling - securing REST/GraphQL APIs, conducting threat assessments, and implementing advanced security patterns in high-traffic production systems AI/ML security and vulnerability research - understanding of LLM vulnerabilities, model security, prompt injection attacks, and AI-specific threat vectors through hands-on testing Security automation and tooling - automating manual security processes Cloud-native security - securing containerized applications in Kubernetes, service mesh security, and cloud-native security patterns at enterprise scale Incident response and forensics - experience investigating, analyzing, and responding to security incidents in live production systems What We Believe In We do not have boundaries between security engineering and product development, and we expect all our technical staff to contribute to both as needed. We take a product-focused approach to security and care about building solutions that are robust, scalable, and easy for developers to use. We enjoy working in a fast-paced team tackling cutting-edge security problems by constantly testing and learning. We enjoy pair programming for our security tools; we are lean in our approach and remove bureaucracy where we see it. We believe in delivering secure solutions fast, iterating and pivoting as we go, rather than defining the perfect security framework upfront. What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career.By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friendsVisit our Global Benefits page to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
14/06/2026
Full time
Senior Security Engineer - AI Products & PlatformsApplylocations: London United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview We are Citi's Application, Platform and Engineering team, a start-up with the exciting mission of shaping the direction of travel for the entire bank under the Chief Technology Office, by defining the tech and engineering strategy for the bank. We are a team of talented engineers, product managers and tech SMEs, taking ambiguous concepts and making them real by engineering cutting edge products at planetary scale! We are solely focused on the most modern technology and engineering disciplines such as generative AI, cloud, security, modern app stacks (with Golang, Gatekeeper), open source and the latest and greatest in the Kubernetes ecosystem. Generative AI is a growing space, as a result, we ask that you share with us any specific AI engineering projects utilising LLMs that you're proud of in your application. Ideally these projects should show off complex and clever architectures or a systematic evaluation of an LLM's behaviour. You might be a good fit if you Bring your deep-dive application security engineering expertise from building production systems Thrive in a results-driven environment, where flexibility fuels impact Be a game-changer, ready to step beyond your designated role Love the synergy of pair programming? So do we! Seize the opportunity to secure AI applications at scale. Jump in! A relentless passion to learn more about AI security, LLM attacks, and bringing your knowledge to shape Citi's secure AI future. What you'll do within the Tech Strategy team: Build secure AI products from 0-1 - Engineer production-grade, business-facing AI platforms with security built-in from day one Ethical hacking and red team activities - Conduct penetration testing, vulnerability research, and attack simulation to make our products bulletproof Design and build security tools and frameworks - Create automated security solutions that scale across fast-paced development cycles Secure novel AI attack surfaces - Identify and mitigate LLM-specific vulnerabilities, prompt injection attacks, and AI model security risks through hands-on testing Lead "shift left" security - Embed security practices throughout our rapid development lifecycle while maintaining velocity Mentor security practices - Guide other engineers on secure coding, vulnerability remediation, and security-first thinking Experience That Will Help You Succeed In This Role Production system builder with security focus - proven track record of architecting and building secure, large-scale production applications and business-facing platforms from the ground up Ethical hacking and penetration testing expertise - hands-on experience finding and exploiting vulnerabilities, conducting red team exercises, and thinking like an attacker to strengthen defenses State-of-the-art security engineering with Go, Python, JavaScript - you build both security tools and secure production systems in fast-paced environments HashiCorp Vault mastery - deep experience writing custom plugins, creating secrets engines, implementing dynamic credentials, and extending Vault functionality for enterprise-scale secrets management Enterprise authentication & authorization - designing and implementing OAuth, JWT, RBAC, and complex identity systems with fine-grained access controls in business-critical applications API security and threat modelling - securing REST/GraphQL APIs, conducting threat assessments, and implementing advanced security patterns in high-traffic production systems AI/ML security and vulnerability research - understanding of LLM vulnerabilities, model security, prompt injection attacks, and AI-specific threat vectors through hands-on testing Security automation and tooling - automating manual security processes Cloud-native security - securing containerized applications in Kubernetes, service mesh security, and cloud-native security patterns at enterprise scale Incident response and forensics - experience investigating, analyzing, and responding to security incidents in live production systems What We Believe In We do not have boundaries between security engineering and product development, and we expect all our technical staff to contribute to both as needed. We take a product-focused approach to security and care about building solutions that are robust, scalable, and easy for developers to use. We enjoy working in a fast-paced team tackling cutting-edge security problems by constantly testing and learning. We enjoy pair programming for our security tools; we are lean in our approach and remove bureaucracy where we see it. We believe in delivering secure solutions fast, iterating and pivoting as we go, rather than defining the perfect security framework upfront. What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career.By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friendsVisit our Global Benefits page to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Main purpose of the role You will lead the development and delivery of CIFF's internal Artificial Intelligence (AI) and business intelligence (BI) strategy for leveraging artificial intelligence, data, and insights to accelerate operational efficiency and portfolio management. This senior leadership position combines strategic direction with operational execution and is accountable for shaping, building, and deploying AI and BI solutions that strengthen programme effectiveness, help manage risk and resilience (e.g. through diligence) support Monitoring, Evaluation, and Learning (MEL) infrastructure, enable evidence-based decision-making, and enhance organizational transparency. You will deliver agentic AI solutions for CIFF workflows, oversee experimentation and learning cycles, and embed insights into portfolio monitoring, grant life cycle management and performance management, including visualisation and digital dashboards. You will use a combination of hands on technical expertise, social sector understanding, to operate effectively across delivery, advisory, and leadership responsibilities-translating data into decisions and decisions into measurable impact. Role's responsibilities Operating across CIFF's internal technology and data functions, the role reports to the Head - Digital & Technology Solutions and India Operations. It partners closely with programme and operations teams, as well as with the Impact Knowledge Hub (IKH) and the Tech for Impact (T4i) to co design and deliver AI and BI solutions that improve organisational efficiency, portfolio management, and data maturity through internal systems and tools that enable CIFF staff to manage grants, monitor investments and make well informed operational decisions. Strategic Leadership & Vision Define the long term AI and BI strategy to support organisational efficiency, grant management, and portfolio performance monitoring. Identify opportunities where GenAI, advanced analytics, and improved insights can improve internal workflows, due diligence processes, proposal review, grantee reporting, risk management, and operational decision making. Incubate and industrialise agentic AI solutions, platforms, and accelerators for internal use; establish reusable data products and a reliable single source of truth for portfolio data; embed solutions into enterprise workflows for efficiency; and leverage them across programme delivery and internal process optimisation. Promote a culture of data stewardship, data governance, transparency, and ethical AI adoption across the CIFF staff and systems. Ensure agentic AI solutions progress from proofs of concept to scaled, repeatable, value generating offerings through robust Machine Learning(ML)Ops/Large Language Model Ops practices. Lead organisation wide internal adoption of agentic AI to improve productivity, quality, and scalability. Design solutions that (a) remain modular and extensible, (b) meet security and governance requirements and operate at enterprise scale, and (c) demonstrate cost effectiveness and sustainability at organisational scale. Impact Driven Analytics & AI Initiatives Develop AI/ML models that enable strategic scaling of CIFF's operations and collective intelligence (through data visualisation and similar platforms. Support the Enterprise Architect in modernising the BI ecosystem (e.g., semantic layer and self service BI) and deliver real time impact dashboards, programme scorecards, and portfolio insights. Work with missions, programme teams to embed standardised KPIs and outcome indicators into monitoring systems, in line with frameworks set by mission leads and IKH. Scale GenAI solutions to improve internal knowledge management and risk analysis, staff led research and synthesis tools, and operational productivity. Stakeholder Collaboration & Capacity Building Work closely with programme and operational teams, with the T4i and IKH Centres of Excellence, and with the CIFF ecosystem, to co create internal AI and BI solutions aligned with organisational priorities and standards. Build internal capability through training, toolkits, and broader access to analytics for non technical users. Support and collaborate with T4i by providing an internal proving ground for responsible AI approaches, helping pilot and refine solutions before T4i coordinates them externally with grantees and partners. Manage relationships with technology vendors and implementation partners supporting internal systems. Responsible AI, Governance & Compliance Lead and oversee the responsible AI governance approach for internal systems, tools and data products, ensuring internal deployments meet organisational standards. Work with T4i to maintain a shared and aligned responsible AI governance approach, drawing on CIFF's responsible AI framework as the common foundation, and ensuring coherence across internal and programmematic contexts. Ensure data privacy, ethical data use, and compliance with relevant global and regional regulations relevant to philanthropy and non profits. Establish governance mechanisms and data quality controls for sensitive or demographic data used in internal systems to prevent misuse or bias. Team Leadership & Capability Development Develop and lead a multidisciplinary team across AI engineering, data science, analytics, and BI. Establish and sustain an internal AI community of practice to foster innovation and continuous learning amongst CIFF staff. Guide the adoption of modern cloud based data platforms and AI tools suited to CIFF's operational context. Skills & Experience Formal qualifications or certifications in AI, analytics, or digital transformation (e.g. Microsoft AI or analytics leadership certifications) are preferred. However, this role prioritises demonstrated experience in leading enterprise scale AI and BI strategy, adoption, and governance, and the ability to translate insights into measurable organisational impact. Experience in the social sector, large NGOs, philanthropy, or impact driven organisations. Strong expertise in AI/ML, data modelling, analytics strategy, and technology implementation. Demonstrated ability to use data and AI to advance equitable, community focused outcomes. Proven experience partnering with non technical stakeholders and translating insights into measurable, mission aligned actions. Excellent communication capabilities, including presenting insights to executives, board members, donors, and field partners. Experience with GenAI for knowledge management, evidence synthesis, and donor/grantee engagement. Background in ethical AI frameworks, privacy by design, and human centred data governance. Ability to balance technological innovation with community voice, equity, and social responsibility. Strong business and mission alignment, with a demonstrated commitment to advancing positive social outcomes through data. Key working relationships Head - Digital & Technology Solutions and India Operations Head of Technology Support Services Enterprise Architect Head of Change Delivery and team T4i and IKH Centres of Excellence Programme COOs Operations and HR Directors CEO Office Management dimensions 3rd Party Supplier Management including with key suppliers CIFF operates a hybrid work policy across all locations, which means employees work in the office and some of the time from home. We are happy to provide more information on this as part of the recruitment process. Alongside a competitive salary, we offer a generous benefits package here at CIFF that includes, but is not limited to the following. Annual leave - 25 days per annum. Increasing by 1 day after each year of service to a maximum of 30 days. Bonus - CIFF currently operates a discretionary bonus scheme. Training allowance Well being allowance Life insurance Medical insurance
14/06/2026
Full time
Main purpose of the role You will lead the development and delivery of CIFF's internal Artificial Intelligence (AI) and business intelligence (BI) strategy for leveraging artificial intelligence, data, and insights to accelerate operational efficiency and portfolio management. This senior leadership position combines strategic direction with operational execution and is accountable for shaping, building, and deploying AI and BI solutions that strengthen programme effectiveness, help manage risk and resilience (e.g. through diligence) support Monitoring, Evaluation, and Learning (MEL) infrastructure, enable evidence-based decision-making, and enhance organizational transparency. You will deliver agentic AI solutions for CIFF workflows, oversee experimentation and learning cycles, and embed insights into portfolio monitoring, grant life cycle management and performance management, including visualisation and digital dashboards. You will use a combination of hands on technical expertise, social sector understanding, to operate effectively across delivery, advisory, and leadership responsibilities-translating data into decisions and decisions into measurable impact. Role's responsibilities Operating across CIFF's internal technology and data functions, the role reports to the Head - Digital & Technology Solutions and India Operations. It partners closely with programme and operations teams, as well as with the Impact Knowledge Hub (IKH) and the Tech for Impact (T4i) to co design and deliver AI and BI solutions that improve organisational efficiency, portfolio management, and data maturity through internal systems and tools that enable CIFF staff to manage grants, monitor investments and make well informed operational decisions. Strategic Leadership & Vision Define the long term AI and BI strategy to support organisational efficiency, grant management, and portfolio performance monitoring. Identify opportunities where GenAI, advanced analytics, and improved insights can improve internal workflows, due diligence processes, proposal review, grantee reporting, risk management, and operational decision making. Incubate and industrialise agentic AI solutions, platforms, and accelerators for internal use; establish reusable data products and a reliable single source of truth for portfolio data; embed solutions into enterprise workflows for efficiency; and leverage them across programme delivery and internal process optimisation. Promote a culture of data stewardship, data governance, transparency, and ethical AI adoption across the CIFF staff and systems. Ensure agentic AI solutions progress from proofs of concept to scaled, repeatable, value generating offerings through robust Machine Learning(ML)Ops/Large Language Model Ops practices. Lead organisation wide internal adoption of agentic AI to improve productivity, quality, and scalability. Design solutions that (a) remain modular and extensible, (b) meet security and governance requirements and operate at enterprise scale, and (c) demonstrate cost effectiveness and sustainability at organisational scale. Impact Driven Analytics & AI Initiatives Develop AI/ML models that enable strategic scaling of CIFF's operations and collective intelligence (through data visualisation and similar platforms. Support the Enterprise Architect in modernising the BI ecosystem (e.g., semantic layer and self service BI) and deliver real time impact dashboards, programme scorecards, and portfolio insights. Work with missions, programme teams to embed standardised KPIs and outcome indicators into monitoring systems, in line with frameworks set by mission leads and IKH. Scale GenAI solutions to improve internal knowledge management and risk analysis, staff led research and synthesis tools, and operational productivity. Stakeholder Collaboration & Capacity Building Work closely with programme and operational teams, with the T4i and IKH Centres of Excellence, and with the CIFF ecosystem, to co create internal AI and BI solutions aligned with organisational priorities and standards. Build internal capability through training, toolkits, and broader access to analytics for non technical users. Support and collaborate with T4i by providing an internal proving ground for responsible AI approaches, helping pilot and refine solutions before T4i coordinates them externally with grantees and partners. Manage relationships with technology vendors and implementation partners supporting internal systems. Responsible AI, Governance & Compliance Lead and oversee the responsible AI governance approach for internal systems, tools and data products, ensuring internal deployments meet organisational standards. Work with T4i to maintain a shared and aligned responsible AI governance approach, drawing on CIFF's responsible AI framework as the common foundation, and ensuring coherence across internal and programmematic contexts. Ensure data privacy, ethical data use, and compliance with relevant global and regional regulations relevant to philanthropy and non profits. Establish governance mechanisms and data quality controls for sensitive or demographic data used in internal systems to prevent misuse or bias. Team Leadership & Capability Development Develop and lead a multidisciplinary team across AI engineering, data science, analytics, and BI. Establish and sustain an internal AI community of practice to foster innovation and continuous learning amongst CIFF staff. Guide the adoption of modern cloud based data platforms and AI tools suited to CIFF's operational context. Skills & Experience Formal qualifications or certifications in AI, analytics, or digital transformation (e.g. Microsoft AI or analytics leadership certifications) are preferred. However, this role prioritises demonstrated experience in leading enterprise scale AI and BI strategy, adoption, and governance, and the ability to translate insights into measurable organisational impact. Experience in the social sector, large NGOs, philanthropy, or impact driven organisations. Strong expertise in AI/ML, data modelling, analytics strategy, and technology implementation. Demonstrated ability to use data and AI to advance equitable, community focused outcomes. Proven experience partnering with non technical stakeholders and translating insights into measurable, mission aligned actions. Excellent communication capabilities, including presenting insights to executives, board members, donors, and field partners. Experience with GenAI for knowledge management, evidence synthesis, and donor/grantee engagement. Background in ethical AI frameworks, privacy by design, and human centred data governance. Ability to balance technological innovation with community voice, equity, and social responsibility. Strong business and mission alignment, with a demonstrated commitment to advancing positive social outcomes through data. Key working relationships Head - Digital & Technology Solutions and India Operations Head of Technology Support Services Enterprise Architect Head of Change Delivery and team T4i and IKH Centres of Excellence Programme COOs Operations and HR Directors CEO Office Management dimensions 3rd Party Supplier Management including with key suppliers CIFF operates a hybrid work policy across all locations, which means employees work in the office and some of the time from home. We are happy to provide more information on this as part of the recruitment process. Alongside a competitive salary, we offer a generous benefits package here at CIFF that includes, but is not limited to the following. Annual leave - 25 days per annum. Increasing by 1 day after each year of service to a maximum of 30 days. Bonus - CIFF currently operates a discretionary bonus scheme. Training allowance Well being allowance Life insurance Medical insurance
At Great Yellow we're looking for a CTO to join our team. About the job Great Yellow is building the intelligence layer that will fundamentally reshape how land use decisions are made, financed and scaled. Our mission is to make regenerative land use investable and scalable, and our vision is a world where land use decisions are systematically aligned across nature, infrastructure, agricultural production and human wellbeing. We help businesses, investors, and land managers move from intention to investable action on regenerative land use. This is a system designed not just to analyse the world, but to actively coordinate regenerative land use across landscapes, supply chains and asset classes. We've spent two years working across nature restoration projects and seeing the same pattern. Complex multi party funding, scattered data, fragmented coordination between landowners, ecologists, investors, and corporates. Regen land use is held back as much by infrastructure gaps as by capital gaps. Our answer is an Operating System platform that pulls it all together. The data backbone makes sense of geospatial layers, ecological baselines and outcomes, financial structures, and project operations (geospatial in particular is the spine of natural capital and a serious engineering problem at scale). The customer facing operating system helps businesses and land managers navigate the natural capital journey, from baseline through capital structure to verified outcomes. The internal Operating System lets our commercial verticals (Trade, Capital, Nature Projects, Systems) move faster on every engagement, and feeds a learning loop that compounds across projects. Our CEO Ed holds a technically complex and genuinely differentiated vision for what this Operating System platform can become. What is missing is the tech leader to build upon and translate that vision technically and to lead our various tech functions. This is the founding technical leadership role. You'll work alongside a multi disciplinary team and leadership who care deeply about getting this right for the long term. You also aren't expecting to inherit a built team with settled product market fit, and you're excited about the opportunity to learn as we go and get some things wrong on the way. We have a small but strong tech team across engineering, product, data, and design. We have growing internal data and modelling capability. What you'll do Deeply understand Great Yellow's ambitious vision - technically complex, commercially ambitious, and constantly evolving - and make it legible, concrete, and actionable for Engineering, Product, and Data. Turn it into a clear story that the wider Great Yellow team and investor can back. Set and own the multi year technical strategy: architecture, stack, AI and ML direction, data and geospatial infrastructure, security and compliance. Lead the Tech vertical (Engineering, Product, Data and AI) as one integrated function, serving Trade, Capital, Nature Projects, and Systems without fragmenting into bespoke builds. Sit on the ExCo as the technical voice on company strategy, working in a peer group with MD Operations, MD Commercial, and Financial Director/CFO. Grow, lead and coach the Tech team toward our 2027 org vision. Hire well, create clarity on vision and how we'll get there, and set a high bar for performance, pace and ownership. Build the case for technology investment across the organisation and with investors, positioning our platform capability as a core competitive advantage, and working with MD Operations to raise the technology bar and AI enablement across the whole company. Stay ahead of the tech landscape, particularly in AI/ML, data infrastructure, and geospatial. Pull what matters into our roadmap and use it to refine and grow our vision. Represent Great Yellow externally with investors, partners, and industry forums. About you You bring both technical depth and leadership experience. You have built and scaled technology teams before; you know what good looks like across engineering, product, and data, and you are energised to be the person bringing it all together. You are comfortable at the executive table and equally comfortable going deep on a tricky architecture decision. Vision translation: You take complex strategic intent and turn it into a technical direction the team can move on. You're comfortable holding the big picture and the architectural detail in the same conversation. Technical depth: You have grounded expertise across software engineering, cloud infrastructure, and data systems. You don't need to write production code regularly, but you engage credibly with architects and engineers on trade offs and risk. You understand the challenges and opportunities behind geospatial data and can work with NatCap geospatial experts. Strategic leadership: You have led product and technology functions at a senior level, setting direction and vision and also managing delivery. You know how to build a roadmap that earns trust internally and credibility externally. Experience in a matrixed org. You've led a function inside a matrixed or multi vertical org and understand the patterns and pitfalls, like how to set shared standards without flattening verticals, how to navigate competing priorities, and how to keep a central roadmap coherent. AI and ML fluency. You've shipped, or led teams who've shipped, production features where LLMs are built into the architecture. You're familiar with the complexities of cost, latency, evaluation loops, and failure modes and have a view on what good decision support design looks like with agentic patterns. Builder mentality: You are energised by 0 1 environments. You make decisive, pragmatic choices when the path is unclear, and you create momentum even in ambiguous conditions. People leadership: You can lead and develop a cross functional technical team including strong specialists. You raise the talent bar around you. Communication: You translate complex technical decisions into clear language for non technical executive team, board, and investor audiences. Industry presence. You have, or are actively building, a profile in the spaces that matter for our next phase: enterprise tech, AI, geospatial, nature finance. A network we can lean on for product and data partnerships, and a name that adds weight when we talk to tech focused investors. Nice to haves Experience in fintech, natural capital, sustainability platforms, or nature adjacent markets. You care deeply about nature, climate, and the potential of technology to drive environmental change. Practical info Location: London hub, hybrid. We value team time in the office, ideally one to two days a week. Compensation: Competitive executive base amongst scale ups, meaningful pre Series A equity, full benefits, learning budget. Your expectations and our band to be shared on first conversation.
14/06/2026
Full time
At Great Yellow we're looking for a CTO to join our team. About the job Great Yellow is building the intelligence layer that will fundamentally reshape how land use decisions are made, financed and scaled. Our mission is to make regenerative land use investable and scalable, and our vision is a world where land use decisions are systematically aligned across nature, infrastructure, agricultural production and human wellbeing. We help businesses, investors, and land managers move from intention to investable action on regenerative land use. This is a system designed not just to analyse the world, but to actively coordinate regenerative land use across landscapes, supply chains and asset classes. We've spent two years working across nature restoration projects and seeing the same pattern. Complex multi party funding, scattered data, fragmented coordination between landowners, ecologists, investors, and corporates. Regen land use is held back as much by infrastructure gaps as by capital gaps. Our answer is an Operating System platform that pulls it all together. The data backbone makes sense of geospatial layers, ecological baselines and outcomes, financial structures, and project operations (geospatial in particular is the spine of natural capital and a serious engineering problem at scale). The customer facing operating system helps businesses and land managers navigate the natural capital journey, from baseline through capital structure to verified outcomes. The internal Operating System lets our commercial verticals (Trade, Capital, Nature Projects, Systems) move faster on every engagement, and feeds a learning loop that compounds across projects. Our CEO Ed holds a technically complex and genuinely differentiated vision for what this Operating System platform can become. What is missing is the tech leader to build upon and translate that vision technically and to lead our various tech functions. This is the founding technical leadership role. You'll work alongside a multi disciplinary team and leadership who care deeply about getting this right for the long term. You also aren't expecting to inherit a built team with settled product market fit, and you're excited about the opportunity to learn as we go and get some things wrong on the way. We have a small but strong tech team across engineering, product, data, and design. We have growing internal data and modelling capability. What you'll do Deeply understand Great Yellow's ambitious vision - technically complex, commercially ambitious, and constantly evolving - and make it legible, concrete, and actionable for Engineering, Product, and Data. Turn it into a clear story that the wider Great Yellow team and investor can back. Set and own the multi year technical strategy: architecture, stack, AI and ML direction, data and geospatial infrastructure, security and compliance. Lead the Tech vertical (Engineering, Product, Data and AI) as one integrated function, serving Trade, Capital, Nature Projects, and Systems without fragmenting into bespoke builds. Sit on the ExCo as the technical voice on company strategy, working in a peer group with MD Operations, MD Commercial, and Financial Director/CFO. Grow, lead and coach the Tech team toward our 2027 org vision. Hire well, create clarity on vision and how we'll get there, and set a high bar for performance, pace and ownership. Build the case for technology investment across the organisation and with investors, positioning our platform capability as a core competitive advantage, and working with MD Operations to raise the technology bar and AI enablement across the whole company. Stay ahead of the tech landscape, particularly in AI/ML, data infrastructure, and geospatial. Pull what matters into our roadmap and use it to refine and grow our vision. Represent Great Yellow externally with investors, partners, and industry forums. About you You bring both technical depth and leadership experience. You have built and scaled technology teams before; you know what good looks like across engineering, product, and data, and you are energised to be the person bringing it all together. You are comfortable at the executive table and equally comfortable going deep on a tricky architecture decision. Vision translation: You take complex strategic intent and turn it into a technical direction the team can move on. You're comfortable holding the big picture and the architectural detail in the same conversation. Technical depth: You have grounded expertise across software engineering, cloud infrastructure, and data systems. You don't need to write production code regularly, but you engage credibly with architects and engineers on trade offs and risk. You understand the challenges and opportunities behind geospatial data and can work with NatCap geospatial experts. Strategic leadership: You have led product and technology functions at a senior level, setting direction and vision and also managing delivery. You know how to build a roadmap that earns trust internally and credibility externally. Experience in a matrixed org. You've led a function inside a matrixed or multi vertical org and understand the patterns and pitfalls, like how to set shared standards without flattening verticals, how to navigate competing priorities, and how to keep a central roadmap coherent. AI and ML fluency. You've shipped, or led teams who've shipped, production features where LLMs are built into the architecture. You're familiar with the complexities of cost, latency, evaluation loops, and failure modes and have a view on what good decision support design looks like with agentic patterns. Builder mentality: You are energised by 0 1 environments. You make decisive, pragmatic choices when the path is unclear, and you create momentum even in ambiguous conditions. People leadership: You can lead and develop a cross functional technical team including strong specialists. You raise the talent bar around you. Communication: You translate complex technical decisions into clear language for non technical executive team, board, and investor audiences. Industry presence. You have, or are actively building, a profile in the spaces that matter for our next phase: enterprise tech, AI, geospatial, nature finance. A network we can lean on for product and data partnerships, and a name that adds weight when we talk to tech focused investors. Nice to haves Experience in fintech, natural capital, sustainability platforms, or nature adjacent markets. You care deeply about nature, climate, and the potential of technology to drive environmental change. Practical info Location: London hub, hybrid. We value team time in the office, ideally one to two days a week. Compensation: Competitive executive base amongst scale ups, meaningful pre Series A equity, full benefits, learning budget. Your expectations and our band to be shared on first conversation.
