458 jobs found

Job Title: AI Technical Lead - IT Location: SPAIN / UK - Harrogate / Remote WHO WE ARE Certinia delivers a Services-as-a-Business platform that powers and connects all aspects of services operations, from services estimation and delivery to customer success management and financial planning and accounting. The company's Professional Services Automation (PSA), Customer Success, and ERP solutions delivered on Salesforce's leading cloud platform, provide services businesses with the intelligence and agility to deliver high-quality services, elevate customer experiences and accelerate growth. Headquartered in Austin Texas, with offices around the world, Certinia is backed by Haveli Investments, General Atlantic and Salesforce Ventures. For more information, visit . THE ROLE Reporting to the Senior Director, Global IT, you are the AI technical lead within the IT Team for Certinia's internal AI transformation. You will work hand-in-hand with an AI Business Analyst to identify high-impact enterprise processes and automate them using robust AI technologies. This is an execution-focused role: you will utilise existing, best-in-class AI tools to build scalable solutions that drive organisational acceleration and measurable ROI. WHAT YOU WILL DO IN THIS ROLE Lead Technical Execution: Act as the primary builder for Certinia's internal AI transformation. Turn high-level process goals into functioning, automated realities. Work Autonomously: Operate with a high degree of independence. You are responsible for taking a concept from the requirements phase through to a live, measurable result with minimal supervision. Drive Process Transformation: Execute top-down process improvements by integrating AI into enterprise-grade workflows to accelerate organisational adoption. Partner with the AI Business Analyst: Work hand-in-hand with the Analyst to validate technical feasibility and deploy solutions that meet the ROI and TTV objectives. Utilise Existing AI Technology: Hands-on configuration and deployment of established AI tools (e.g., Salesforce, Gemini, GCP, Claude, AWS) to solve immediate business challenges. Accelerate Time-to-Value (TTV): Focus on rapid implementation and scaling of solutions. Move quickly from identification to a live, production-ready state. Build Robust Automations: Ensure all AI-driven processes are backed by enterprise-grade technology, robust data pipelines, and reliable API integrations. Report on Service Health: Provide the Senior Director, Global IT with data-driven insights into the performance, health, and ROI of deployed AI services. Maximise Investment: Identify and unlock underutilised AI capabilities within the current technology stack to eliminate manual overhead and operational friction. Adopt AI Guardrails: Collaborate with the Security team to ensure all internal AI implementations remain compliant with InfoSec pillars and data privacy standards. WHAT YOU NEED TO BE SUCCESSFUL IN THIS ROLE Execution Experience: 8+ years in IT or Software Engineering, with at least 3 years in a technical lead role delivering enterprise-grade process automation. AI Implementation Track Record: Proven experience utilising existing AI/ML technologies to transform business processes and mitigate LLM-specific risks (e.g., prompt injection and data leakage). Leadership Interfacing: Demonstrated experience engaging with Senior Leadership for requirements gathering and delivering high-impact technical demonstrations. Process Transformation Mindset: Deep understanding of enterprise-grade business processes and how to apply AI to accelerate ROI and shorten Time-to-Value (TTV). Framework Awareness: Familiarity with SOC 2 and ISO 27001 standards, with a focus on ensuring AI implementations align with ISO 42001 (AI Management System) readiness. Hands-on Cloud Expertise: Direct experience implementing and securing solutions within major cloud and SaaS environments, specifically AWS, GCP and Salesforce. Robust Engineering Standards: Proficient in building reliable data pipelines and API integrations that ensure AI outputs are accurate and enterprise-ready. Composure Under Pressure: Proven ability to lead technical deployments through high-pressure phases, such as rapid scale-ups or critical process migrations, with clarity. Cross-Functional Partnership: Strong ability to work in a "pod" structure with an AI Business Analyst, providing the technical "how" to meet high-level business "whats.". Technical Storytelling: Strong ability to translate technical AI constraints and successes into clear business language. Problem Solving: Proficient in analysing legacy process bottlenecks and solving them using industry-best AI practices and existing technology stacks. WHAT ELSE WOULD BE GREAT AI Tooling: Experience with AI orchestration layers. Prompt Engineering: Skill in refining LLM outputs for high-accuracy enterprise tasks. Agile Delivery: Experience in "Sprint" environments where speed and ROI are the primary measures of success.

Senior Programme Manager - Clara Innovation & Deployment Summary of role purpose: The Senior Programme Manager, within the Innovation & Deployment team in Audit Technology is responsible for orchestrating the delivery of complex, cross-functional initiatives involving artificial intelligence and machine learning technologies. This role oversees programme governance, stakeholder alignment, and execution across the product lifecycle. Description of the role: Key Responsibilities Lead the successful delivery of technology portfolios, aligning programme milestones with business strategy, regulatory standards, and product innovation goals. Coordinate cross-functional teams in the UK and sometimes multi-nationally including product managers, engineers, data scientists, and SMEs to manage dependencies, risks, and delivery cadence. Establish programme governance, tracking KPIs related to timeline, risk posture, adoption, and quality and ethical compliance. Engage senior stakeholders across audit, risk, and IT to maintain visibility of programme progress and address concerns proactively. Champion agile delivery, value-stream thinking, and continuous learning across AI/ML workstreams. Maintain financial oversight of portfolio budgets and ensure timely reporting to leadership. Identify opportunities to scale, standardise, and accelerate deployment across audit domains. As our firm focuses heavily on the adoption of AI in all areas, ensure responsible AI practices, including fairness, explainability, and data governance, are embedded into delivery processes. Due to the nature of the position, you may be working at/visiting a client site and/or other KPMG offices. The person: Experience and knowledge requirements: Extensive experience in programme management or technology leadership roles within AI/ML, data science, and/or software development. Proven ability to lead large-scale, interdisciplinary initiatives in complex, regulated environments. Understanding of the software product development lifecycle; ideally including AI/ML lifecycle, model governance, MLOps, and responsible AI frameworks. Strong leadership, stakeholder engagement, and communication skills. Familiarity with audit processes, information security, and ethical AI implementation are all a strong advantage. Behavioural Attributes and Skills: Strategic leadership and ability to drive complex programmes aligned to business objectives. Exceptional stakeholder management, influencing, and communication skills. Strong programme governance, risk management, and decision-making capability. Ability to lead and motivate multidisciplinary teams across multiple locations. Highly organised with strong planning, prioritisation, and financial management skills. Collaborative, resilient, and adaptable with a continuous improvement mindset. Commitment to quality, ethical conduct, and responsible AI practices. Strong analytical, problem-solving, and change leadership capability. Experience in enterprise-scale AI/ML, data, or technology transformation programmes. Knowledge of audit, risk, compliance, or regulated environments. Qualifications: Bachelor's or Master's degree in a related field; programme management certifications required (PMP, MSP, Agile), multiple agile methodologies ideal; Lean Six Sigma certifications preferred. KPMG overview: KPMG in the UK is part of a global network of firms that offers Audit, Legal, Tax and Advisory services. Through the talent of over 16,000 colleagues, we bring our creativity, insight and experience to solve our clients' and communities' biggest problems. We've been doing this for more than 150 years. We aim to be universally recognised as a place for great people to do their best work. A firm known for our collaborative and inclusive culture, using technology to empower and equip our people to deliver outstanding work with real flexibility - through inspiring workspaces, innovative ways to collaborate and hybrid ways of working. With offices across the UK, we work with everyone from small start- ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our mission is simple: To support the UK in a connected world. It guides everything we do, underpinned by our values: Courage, Integrity, Excellence, Together and For Better. KPMG are proud to be an inclusive, equal opportunity employer and we seek to attract and retain the best people from the widest possible talent pool. As a member of the Business Disability Forum we're committed to ensuring that all candidates are treated fairly throughout the Recruitment Process. We pride ourselves on being a place where your individuality is valued; you can be yourself and still achieve your potential. We believe that your individuality helps us to deliver the best results to our clients. Diversity of background, diversity of experience, diversity of perspective - that's the KPMG difference.

Job Description Purpose of the role To design, develop, and implement solutions to complex business problems, collaborating with stakeholders to understand their needs and requirements, and design and implement solutions that meet those needs and create solutions that balance technology risks against business delivery, driving consistency. Join us on a transformative journey as a Solution Architect-Network Automation, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness technology to revolutionize our digital offerings, ensuring unappareled customer experiences. The Barclays Automation and Tools Engineering team is responsible for the design, build and operate of the underlying network infrastructure and toolchain across cloud, data centre, campus and branch that are required to run the Barclays Global Network at scale. Accountabilities Design and development of solutions as products that can evolve, meeting business requirements that align with modern software engineering practices and automated delivery tooling. This includes identification and implementation of the technologies and platforms. Targeted design activities that apply an appropriate workload placement strategy and maximise the benefit of cloud capabilities such as elasticity, serverless, containerisation etc. Best practice designs incorporating security principles (such as defence in depth and reduction of blast radius) that meet the Bank's resiliency expectations. Solutions that appropriately balance risks and controls to deliver the agreed business and technology value. Adoption of standardised solutions where they fit. If no standard solutions fit, feed into their ongoing evolution where appropriate. Fault finding and performance issues support to operational support teams, leveraging available tooling. Solution design impact assessment in terms of risk, capacity and cost impact, inc. estimation of project change and ongoing run costs. Development of the requisite architecture inputs required to comply with the banks governance processes, including design artefacts required for architecture, privacy, security and records management governance processes. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escape breaches of policies/procedures If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. To be successful as a Solution Architect-Network Automation, you should have: Product development experience. Experience with Python Programming, Micro services architecture, FasAPI, Ansible or Terraform experience. Experience with Netmiko or similar network automation libraries including Netconf/Yang based Automation. Knowledge and demonstrable hands-on experience with middleware technologies (Kafka, API gateways and others). Understanding of network technology fundamentals, Data Structures, scalable system design and ability to translate information in a structured manner for wider product and engineering teams to translate into working solution. Some other highly valued skills may include: Knowledge of DevOps tooling, GitOps, CI/CD, configuration management, Jenkins, build pipelines and source control systems. Ample Network knowledge (CCNA or similar), Virtualisation/Infrastructure domain experience preferred. Working knowledge of cloud infrastructure services: compute, storage, networking, hybrid connectivity, monitoring/logging, security and IAM. Proficiency in Agile Methodologies Scrum/Kanban, backlog and workflow mgmt. and SRE specific reporting (MTTR, deployment frequency, SLO and others) The four LEAD behaviours are: L - Listen and be authentic E - Energise and inspire A - Align across the enterprise D - Develop others Your role will be based in our Knutsford office. Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the Top Workplace in the area.

As a Lead Software Engineer at JPMorgan Chase within the Global Liquidity and Cash Management Technology team, you will help promote technical delivery by making significant technical contributions as key member of a team with a reputation for rapidly delivering exciting and innovative capabilities. We are seeking a highly motivated Lead Software Engineer, to drive development of cutting-edge technology solutions for the Corporate & Investment Bank's Payments business. You'll play a pivotal role in building the next-generation low-latency wholesale banking platform, designed for global scale, supporting hundreds of millions of accounts and responding in milliseconds to thousands of requests every second. We seek a passionate technologist eager to learn, grow, and apply their skills to build a significant new platform. As a technical lead, you will help drive technical delivery by making significant technical contributions as key member of a team with a reputation for rapidly delivering exciting and innovative capabilities.Initially, you will be responsible for leading the development of the quality engineering framework to support the validation of a complex, low latency distributed system. The role's scope is broad and will extend to include contributions across the entire project including the delivery of production code. Day to day you will write your own performant, secure and thread-safe code and help your team grow their technical capabilities, through paired programming and code reviews. You will collaborate with colleagues from Product, Architecture, Infrastructure and Engineering to develop efficient technical designs that deliver new client features, whilst achieving stringent non-functional requirements for security, performance and availability. This exciting role provides you with the opportunity to see the direct impact of your contributions on the liquidity business and receive client feedback from around the globe. While banking experience is not required, you must be a passionate and well-rounded technologist, eager to continuously learn and enhance your skills. Job responsibilities Design and develop robust, high-performance, latency-sensitive code, incorporate security requirements and reviewing code written by team members using software engineering best practices. Work closely with Product Owners, Solutions Analysts, Technical Architects and Senior Engineers to design the best technical design and approach for technical development. Translate business requirements into technical solutions, recommend alternative technical and business approaches, and lead engineering efforts to meet ambitious timelines with optimal solutions. Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by code. Assess compliance, risks, and vulnerabilities to ensure all systems and baselines are operationally sound, performant at scale, and exceed customer expectations. Contribute to the on-going development of the team, including recruitment, paired programming, peer review and mentoring. Collaborate effectively as part of a global team and add to team culture of diversity, opportunity, inclusion, and respect. Provide technical leadership to engineering sub-teams focused on the delivery of epics by transforming requirements into stories and a build plan. Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Provide out of hours application support and coordination of Production releases. Required qualifications, capabilities, and skills Formal training or certification on enterprise software development concepts and advanced applied experience. Excellent understanding of Java 17+ fundamentals and frameworks (e.g. Spring Boot), OO programming paradigms, multi-threading, messaging technologies, and computer networks. Strong experience of producing test cases and using automated testing frameworks which support validation of both functional and non-functional requirements (e.g. JUnit, Blazemeter, JMeter). Knowledge of relational database technologies (e.g., PostgreSQL and CockroachDB), database resiliency, recoverability, scalability, and security. Hands-on practical experience delivering system design, application development, testing, and operational stability. This includes experience with diagramming software (e.g., PlantUML, Lucid, Draw.io, Visio) and technical writing. Strong interpersonal, communication, documentation, diagramming, and presentation skills, with experience working with globally distributed teams and stakeholders. Passion for technical innovation and staying up to date with emerging technologies. Understanding of the full software development lifecycle and agile methodologies. Demonstrated technical leadership experience along with coaching and mentoring. Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security. Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices Preferred qualifications, capabilities, and skills Experience of low-latency programming techniques and technologies (e.g. Inter-Process Communication, Memory-Mapped Files and Ring Buffers). Experience with gRPC and Google Protocol Buffers. Experience of working on distributed systems and detailed knowledge of distributed systems design patterns. Hands on experience another statically compiled language like Golang, Rust or C++. Awareness of key architectural patterns/approaches, algorithms, data structures, cryptography, security protocols (e.g., TLS and OAuth/OIDC), secure system design and Threat Modelling. Certified Kubernetes and public cloud knowledge (e.g. CKAD and AWS certifications).

We are looking for a Senior AI Engineer to join our growing Applied AI team. This is ahands-on, technically demanding role for someone who can contribute to building production AI systems while helping raise the technical bar of the team around them. You will work collaboratively across a fast-moving technology company, turningcutting-edgeresearch into practical, scalable solutions.This role reportsto the AppliedAILead. Responsibilities Lead data identification, cleaning, enrichment, preprocessing,feature engineering,andexploratoryanalysis to ensure fitness for AI workflows and to inform modelling and business decisions. Build, tune, andoptimisemachine learning, deep learning, and generative AI models,leveragingboth established andcutting-edgetechniques. Designand buildLLM-powered systems- RAG pipelines, prompt and context engineering, fine-tuning, structured outputs, function calling, context-window management,and secure model integration;selectingappropriately between standard and reasoning (test-time-compute) models, balancing capability against latency and cost. Designand buildagentic AI systems- tool-calling architectures, interoperability protocols (MCP, agent-to-agent), multi-agent orchestration, and multi-step reasoning with human-in-the-loop andappropriate trust, safety, and security boundaries. Leverageand contributeto agentic engineering tooling, including coding assistants,configurable permissions models,internal skills and plugins architectures, and sandboxed autonomous workflows integrated intoCI/CDand delivery pipelines. Applymodel adaptation techniques including parameter-efficient fine-tuning(LoRA,QLoRA), modeldistillation, and synthetic data generation for domain-specific and low-resource scenarios. Develop evaluation frameworks covering performance, hallucination, safety, cost, and non-deterministicbehaviouracross classical and generative AI systems. Optimisemodel inference and end-to-end pipelines for speed, cost, memory footprint, and scalability, including for CPU-constrained andairgappeddeployment targets. Develop andmaintainproduction-grade model pipelines and supporting software with strongMLOpspractices - covering real-time inference, batch processing, performance monitoring, drift detection, scheduled retraining, observability, governance, version control, and reproducibility. Providetechnicalguidance- architectural input, peer review, and mentoring of mid-level and junior engineers through code review, pairing, and knowledge sharing - raising the technical bar of the team and shaping secure, scalable, high-performing AI solutions. Work within Agile delivery teams - collaborating with data, platform, and software engineers to integrate AI into products, communicating clearly with technical and non-technical stakeholders, and championing engineering excellence and continuous improvement. Stay current with the latest research, frameworks, and trends across ML, deep learning, and GenAI, translating them into production-ready solutions. Required Knowledge, experience and values 5+ years of commercialexperience in AI and machine learning engineering and development - academic research experience is highly valued alongside this, buta track recordof commercial delivery is essential -withdemonstrabledelivery of production-grade models and systems across traditional ML, neural networks, and LLM-based systems. 5+years of commercial experience working withPython;familiaritywith C# is considered a bonus due to existing product integrations. Hold an advanced degree in machine learning, computer science, engineering, or a related discipline, with an MScrequiredand a PhD highly desirable. Deep hands-on experience withPyTorch, Scikit-learn, and the Hugging Face ecosystem, with familiarity withMLFlowandAzureML; capable of making architecture and implementation decisions. Strong competence with Git, pull requests, automated testing, CI/CD,MLOps, and ML pipelines; experience with Azure DevOps and cloud-based ML infrastructure (Azure, AWS, or GCP) is beneficial. Strong grounding inclassical data science fundamentals - feature engineering, statistical analysis, experimental design, and model monitoring - alongside benchmarkingand the evaluation of non-deterministic AI systems. Practical experience with inferenceoptimisationincludingquantisation, latency reduction, cost-aware model selection, and resource-efficient deployment. Communicate clearly, translating complex technical work into actionable recommendations, and produce high-quality documentation including technical decision records. Operate independently and make sound technical decisions within complex, ambiguous contexts, witha track recordof owning problems end-to-end. Prior cybersecurity or business domainexpertiseis not a prerequisite, although would be highly relevant. We encourage you to apply even if your experience is not a 100% match with the position. Beneficial Knowledge, experience, and values Familiarity with containerisation (Docker, Kubernetes), event-driven or microservices architectures, and distributed data processing at scale. Experience with embedding pipelines, vector search, and semantic retrieval for RAG systems. Knowledge of LLM evaluation techniques including structured evals frameworks, hallucination mitigation, benchmarking, and human-in-the-loop evaluation. Understanding of AI safety, responsible AI principles, governance, and regulatoryand standardsawareness (e.g. EU AI Act, NIST AI RMF, ISO/IEC 42001), including bias detection, explainability, and auditability. Familiarity with security best practices in AI systems, particularly around prompt injection risks, data handling, and model misuse. Understanding of AI applied in cybersecurity contexts, including concept drift, adversarial robustness, andmodel assurance challenges. Exposure to data engineering practices including ETL/ELT pipelines, data versioning, and schema management. Awareness of multi-modal data handling include vision, audio, or document-based inputs. Contributions to open-source projects, research publications, or participation in AI/ML communities and conferences. Demonstrated curiosity and ability to balance research-oriented thinking with pragmatic engineering delivery in a commercial environment. About Us We didn't start out as a traditional security product. In the beginning, Glasswall was one of only two file sanitization filters in the US Intelligence Community's highly classified networks. We are rated by the National Security Agency. We designed Glasswall CDR to protect businesses against the most advanced file-based threats. Today, we're trusted by commercial and government organisations around the world. In June 2025 Glasswall officially entered a new era of growth and innovation having been acquired by the leading private equity firm, PSG Equity. This marks a significant milestone for our company and one that underscores the strength of our business, the dedication of our team, and the exciting potential that lies ahead. With PSG's strong track record of scaling high-growth cybersecurity and technology businesses, we are better positioned than ever to accelerate innovation, expand into new markets, and deliver even greater value to our clients, employees, and stakeholders. Cybersecurity is a mission-critical field, and we've always believed that staying ahead means moving faster, continually adapting to meet new challenges and investing more boldly in the future. This partnership empowers us to do exactly that while maintaining the same leadership, values, and commitment to excellence that have brought us this far We're excited for what's to come so now is a great time for you to join us on our journey. Inclusion At Glasswall we believe that diversity of people and thought are central to our purpose. We are committed to making Glasswall a company that is attractive to people of many different backgrounds. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are under-represented in our workforce. One of our corporate objectives is to ensure that the organisational health of the firm is highly rated by our employees. We believe that this is only possible if we promote a culture of inclusion and respect across our business. Every six months we survey employees on a range of questions relating to our organisational health. This holds a mirror-up to a business and ensures that we can focus on where we need to do better. We have an Organisational Health Committee, which is chaired by a non-executive position. The panel has been formed to guide the leadership in taking positive action that supports a good work-life balance, family friendly relations and to be inviting to a diverse range of potential employees. We also have a Women in Technology Group which has been formed to promote balance in the way that we communicate with, promote, encourage, and support people across our business. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life . click apply for full job details

Role OverviewThe HR & AI Systems Architect is a senior technical leadership role responsible for shaping and evolving Fortive's HR technology ecosystem. Reporting to the Director of HR Technology (Engineering & Platform), this position sits at the intersection of HR systems, enterprise integration, and AI innovation, leading architecture decisions across Oracle HCM Cloud, Boomi, ServiceNow HRSD, Eightfold, LMS platforms, and the broader IT landscape.This role is the primary technical authority for HR platform architecture - defining how systems connect, how AI augments HR workflows, and how data flows reliably across the enterprise. The architect partners closely with HR Product Owners, IT/Enterprise Architecture, and vendor teams to deliver scalable, future-ready solutions that support Fortive's operating companies and HR functions globally.Core Technology LandscapeOracle HCM SuiteBoomi MiddlewareServiceNow HRSDEightfold AI PlatformLMS SolutionsIntegration APIsPower BI ReportingOracle AnalyticsKey Responsibilities1. HR Systems & Platform ArchitectureOwn the end-to-end architectural design of Fortive's HR technology landscape, including Oracle HCM Cloud (Core HR, Payroll, Talent, Compensation, Benefits), ServiceNow HRSD, Eightfold, and LMS platforms.Develop and maintain architectural blueprints, data flow diagrams, and modernization roadmaps aligned to cloud-native, API-first principles.Establish design standards, governance frameworks, and best practices across the HR tech portfolio.Partner with IT's Azure-based infrastructure teams to ensure HR systems align with enterprise architecture standards and security posture.2. Integration Architecture & EngineeringDefine and drive integration strategy across HR systems, moving from point-to-point patterns toward reusable, API-first services.Lead architecture and hands-on implementation using Boomi (atoms, molecules, connectors, process routing) as the primary middleware platform.Design scalable integration patterns - real-time APIs, event-driven integrations, and batch/file-based flows - connecting Oracle HCM to Eightfold, LMS, payroll, benefits, and IT/ERP systems.Maintain data integrity, auditability, and compliance (GDPR, SOC 2, HIPAA) across all integration flows.Supervise and guide integration developers through the full development lifecycle, including code reviews, design reviews, and documentation standards.3. AI Solutions & AutomationIdentify and deliver high-value AI and automation use cases across the HR lifecycle - intelligent onboarding, workflow automation, AI-assisted case triage, talent insights, and conversational self-service.Architect and implement AI capabilities within Oracle HCM Cloud, Eightfold's talent intelligence platform, and ServiceNow HRSD.Build and prototype solutions leveraging HR-specific AI platforms, taking ideas from POC to production.Embed AI/ML, NLP, and chatbot capabilities into HR workflows and digital employee experience channels, aligned with enterprise AI governance standards.Establish AI performance monitoring and responsible AI frameworks for HR use cases.4. Data Architecture & GovernanceDesign HR data models, master data management (MDM) strategies, and data lineage documentation in partnership with Data Engineering and BI teams.Enable secure, governed access to HR data for analytics (Power BI, Oracle Analytics).Define and enforce HR data contracts, quality standards, and privacy controls across all systems and integration points.5. Stakeholder Leadership & CollaborationServe as the primary technical advisor to HR leadership, Product Owners, and IT on HR technology architecture, AI strategy, and platform decisions.Translate complex architecture and AI concepts into clear business outcomes tied to KPIs and strategic priorities.Provide technical guidance on vendor selection and partnership for Oracle, ServiceNow, Eightfold, and integration tooling.Collaborate with HR Centers of Excellence (Talent Acquisition, L&D, Total Rewards) to embed AI capabilities within HR programs.QualificationsRequired10-12 years of progressive experience in HR technology and enterprise systems architecture.Deep expertise in Oracle HCM Cloud, including integrations, HCM Extracts, Security, and configuration across at least three functional modules.Proven experience with Boomi or a similar enterprise integration platform (Dell Boomi preferred), including building and supporting production integrations.Strong understanding of integration patterns, including REST and SOAP APIs, event-driven architecture, synchronous and asynchronous processing, and data transformation.Demonstrated success designing and deploying AI/ML and automation solutions within HR or other enterprise business systems.Experience delivering AI/ML and automation solutions within HR systems.Experience with digital assistants or AI-driven employee experience platforms is a plus.Experience with ServiceNow HRSD, including case management, virtual agent, and HR service delivery configuration.Experience leading or mentoring small technical teams, including integration engineers and developers.Must be available to work within U.S. time zones (CST).PreferredHands-on experience with Eightfold AI or comparable talent intelligence platforms.Experience with LMS platform architecture (e.g., Absorb, Cornerstone, or similar).Background in Agile/SAFe delivery, DevOps practices, and CI/CD for integration pipelines.Experience with RPA tools (UiPath, Automation Anywhere) and Oracle Integration Cloud (OIC).Familiarity with Power BI, Oracle Analytics Cloud, or enterprise BI architecture for HR data products.Knowledge of enterprise AI governance, responsible AI frameworks, and data privacy regulations (GDPR, HIPAA).What Success Looks LikeIn the first 90 days, you will have mapped the current HR architecture landscape, identified integration gaps and technical debt, and proposed a prioritized modernization roadmap. Within the first year, you will have elevated integration maturity toward API-first and reusable services, shipped at least two meaningful AI-powered HR use cases into production, and established architectural standards that guide the broader HR engineering team.Fortive Corporation OverviewFortive's essential technology makes the world safer and more productive. We accelerate transformation in high-impact fields like workplace safety, build environments, and healthcare.We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in healthcare sterilization, industrial safety, predictive maintenance, and other mission-critical solutions. We're a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to advanced technologies that help providers focus on exceptional patient care.We are a diverse team 10,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact.At Fortive, we believe in you. We believe in your potential-your ability to learn, grow, and make a difference.At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone.At Fortive, we believe in growth. We're honest about what's working and what isn't, and we never stop improving and innovating.Fortive: For you, for us, for growth.We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at Corporation OverviewFortive's essential technology makes the world safer and more productive. We accelerate transformation in high-impact fields like workplace safety, build environments, and healthcare.We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in healthcare sterilization, industrial safety, predictive maintenance, and other mission-critical solutions. We're a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to advanced technologies that help providers focus on exceptional patient care.We are a diverse team 10,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact.At Fortive, we believe in you. We believe in your potential-your ability to learn, grow, and make a difference.At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone.At Fortive, we believe in growth. We're honest about what's working and what isn't, and we never stop improving and innovating.Fortive: For you, for us, for growth.We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law . click apply for full job details

Senior Data Management Professional - Data Product Owner - (Data AI) Location: London Business Area: Data Ref #: Overview Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes. Our Team: Data AI contributes to the building of Bloomberg's AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. We provide evaluation and annotation frameworks connecting natural language processing and human judgment in order to elevate the quality, intelligence, and usability of the data that drives our products. By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. Our internal processes to take advantage of new AI technologies and strengthen Data's role in providing robust domain expertise and influential data artifacts to Bloomberg's products. As a result our clients will continue to have high quality data and access to new types of datasets. Responsibilities The Data Product Owner serves as the strategic leader responsible for transforming business operations through data and AI. By aligning product, engineering, and operational partners around a shared vision, they define and deliver the data capabilities that enable intelligent automation, operational scale, and continuous improvement. This role goes beyond managing requirements to shape how the organization uses data as a strategic asset. Through workflow optimization, process simplification, and the thoughtful application of AI, the Data Product Owner drives solutions that increase efficiency, improve quality, and create sustainable business value. Success in this role is measured by the organization's ability to operationalise data and AI at scale, turning complex business challenges into streamlined, reliable, and measurable outcomes. We'll Trust You To Own and evolve scalable frameworks and sophisticated strategies for instruction and evaluation task design, ensuring datasets remain fit-for-purpose for complex Generative AI behaviors Align data frameworks and evaluation strategies with overarching product objectives to guarantee trustworthy, consumable intelligence that supports actionable user decisions Act as the primary multi-functional liaison, driving alignment between Product, Engineering, and Data teams to translate technical complexities into actionable insights Partner with multi-functional teams to define product-aligned requirements and reusable evaluation rubrics, ensuring outcomes meet rigorous Data Quality standards Drive the strategic evolution of our evaluation infrastructure by pioneering reusable, automated frameworks that consistently accelerate multi-functional product delivery You'll Need to Have Bachelor's degree or equivalent experience in Finance, Business, Economics, Accounting, STEM or degree-equivalent qualifications A minimum of four years of demonstrated experience in data management concepts, including data quality, modeling, and random sampling Extensive experience using data visualization tools such as Tableau or Qlik Sense to communicate sophisticated results to partners in a clear, concise manner Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL Past project/experience analyzing financial datasets or demonstrable experience working on financial market concepts A logical approach to problem-solving with the ability to resolve complex annotation and data-architectural challenges Keen interest in and familiarity with generative AI frameworks and the requirements of Agentic AI Excellent stakeholder management and project leadership skills, with a demonstrable ability to evaluate design trade-offs and seamlessly translate technical complexities between Engineering, Product, and Data teams. Experience in data management concepts such as data quality, data modeling, and data engineering Preferred Qualifications DAMA CDMP or DCAM certifications Experience in using Bloomberg Data, Bloomberg Terminal, and/or enterprise financial data products Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection Past project experience using Agile/Scrum methodologies to manage complex data lifecycles Experience customizing or developing annotation interfaces using Javascript or HTML Please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

JOB DESCRIPTION As a Senior Lead Software Engineer in Data Platforms within the Chief Data and Analytics Office, you will lead a squad of engineers focused on enhancing the firmwide data catalogue system, Fusion. You will help teams across the globe access data efficiently, applying your technical expertise and engineering mindset to deliver secure, scalable solutions. You'll be second in command within a wider team of 40, taking a high degree of ownership and responsibility. Your role will foster innovation, collaboration, and continuous improvement, positioning you for advancement to Executive Director. Job responsibilities Lead a squad of engineers, providing technical guidance and fostering a collaborative team environment Drive the development and enhancement of the firmwide data catalogue system (Fusion) to enable global data access Apply strong problem-solving skills and an engineering firm mindset to deliver secure, high-quality solutions Take ownership of technical decisions, influencing product design and application functionality Serve as a subject matter expert in data platforms and related technologies Advocate for and implement firmwide frameworks, tools, and practices within the Software Development Life Cycle Promote adoption and governance of approved AI-assisted engineering practices to improve code quality and delivery speed Encourage diversity, inclusion, and respect within the team culture Apply knowledge of automation tools and AI-assisted development capabilities to maximize value at scale Collaborate with stakeholders to deliver solutions aligned to business needs Support operational stability and continuous improvement across the platform Required qualifications, capabilities, and skills Experience leading technical teams and managing stakeholders to deliver high-quality solutions Hands-on expertise in system design, application development, testing, and operational stability Advanced proficiency in one or more programming languages and technical disciplines (cloud, AI, ML, etc.) Ability to tackle design and functionality challenges independently Demonstrated experience with enterprise-authorized AI-assisted software development tools Strong understanding of responsible AI use, including data sensitivity and secure handling An Understanding or knowledge of data modelling concepts High degree of ownership and accountability in technical leadership Excellent problem-solving skills and engineering mindset Preferred Qualifications, Capabilities, and Skills: Experience working with global data platforms or catalogue systems Familiarity with Fusion or similar data catalogue technologies Ambition to progress to Executive Director Internal experience within JPMorgan Chase is advantageous Experience running squads in agile environments Ability to coach and mentor engineers on compliant AI usage Exposure to large, diverse engineering team ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Role description Principal Software Engineer - Data Technology Platforms Location London Start : ASAP End : As of now till Dec 2026 with possible extesnions Seeking an experienced and data-focused Principal Software Engineer to join our Data Technology Platforms team. This team is responsible for building, enhancing, and operating enterprise-wide data platforms that support operational, analytical, regulatory, and AI-driven business capabilities. The ideal candidate will have deep expertise in modern data engineering, database technologies, cloud platforms, and data governance. You will play a key role in defining strategic data solutions, partnering with business and technology stakeholders, and delivering scalable, high-performance data platforms that enable data-driven decision making across the organization. This role is suited to a technology leader who combines strong hands-on engineering skills with strategic thinking, stakeholder management, and a passion for delivering business value through data. Key Responsibilities Strategic & Technical Leadership Drive the design and evolution of modern, cloud-based data platforms. Translate business requirements into scalable, reusable, and strategic data solutions. Provide technical leadership across data engineering initiatives and platform modernization efforts. Champion best practices in architecture, data governance, quality, security, and scalability. Solution Delivery Analyze business and technical requirements and evaluate solution viability. Design, develop, test, and deploy enterprise-grade data solutions. Support the full Software Development Lifecycle (SDLC), from requirements through production support. Ensure solutions are maintainable, supportable, and aligned with enterprise standards. Optimize performance for large-scale data processing and analytics workloads. Stakeholder Management Partner with business stakeholders, product owners, architects, analysts, engineers, and support teams. Act as a trusted advisor on data strategy and platform capabilities. Manage competing priorities while balancing immediate delivery needs with long-term strategic objectives. Communicate effectively with both technical and non-technical audiences. Team Collaboration Mentor engineers and contribute to the growth of the wider technology organization. Promote agile delivery practices and continuous improvement. Take ownership of individual deliverables while contributing to overall team success. Support operational excellence and knowledge transfer to production support teams. Required Skills & Experience Data Engineering & Development Strong expertise in SQL database development and optimization. Hands-on experience with: Snowflake DBT Azure Data Factory Python Experience designing and developing enterprise-scale data pipelines and integrations. Strong knowledge of data modeling, data warehousing, and ETL/ELT practices. Proven ability to tune and optimize solutions handling large data volumes. Cloud & DevOps Experience with cloud-native data platforms, preferably on Microsoft Azure. Strong knowledge of: Azure DevOps Git CI/CD pipelines Automated deployment practices Experience implementing engineering best practices, testing, and release management processes. Software Engineering Ability to develop well-structured, maintainable, and thoroughly tested solutions. Strong problem-solving and analytical skills. Experience supporting production systems and driving operational excellence. Stakeholder & Business Engagement Experience working with senior business and technology stakeholders. Strong communication and relationship management skills. Ability to balance delivery timelines with strategic platform evolution. Preferred Qualifications Experience within Financial Services, Asset Management, Banking, Wealth Management, or Capital Markets. Development experience using: .NET / C# Azure Functions Azure Services Familiarity with Agile delivery frameworks and methodologies. Experience with Test-Driven Development (TDD) and test automation practices. Knowledge of modern data governance and data quality frameworks. Exposure to AI, analytics, and advanced data platform capabilities. Skills Azure DevOps, Data Validation, Azure Functions, Cloud Data Warehousing, SQL, Python About the company the company is a global digital transformation solutions provider. For more than 20 years, the company has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, the company partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, the company embeds innovation and agility into their clients' organizations. With over 30,000 employees in 30 countries, the company builds for boundless impact-touching billions of lives in the process.

Product Lead - Information Architecture & Digital Experiences - Chase (UK, DE) Description for internal/external candidates People want great value combined with an excellent experience from a bank they can trust - so we launched our digital bank, Chase, to revolutionise mobile banking with seamless journeys customers love. Already trusted by millions in the US, we're now growing rapidly in markets around the globe, including the UK and Germany. We're building the bank of the future from scratch - channelling a start up mentality every step of the way, so you'll have the opportunity to make a real impact. Our Digital Experiences team sits at the heart of this venture, turning smart ideas into intuitive, high quality customer experiences. We're looking for people with a curious mindset who thrive in collaborative squads and are passionate about modern technology. Our teams are solution oriented, commercially savvy, and have a head for fintech. While professional skills matter, culture is just as important. We believe diversity of thought, experiences and backgrounds makes good teams great. By bringing different points of view together, we build products that better reflect the communities we serve - creating scope for you to make a real difference. About the role We're looking for an exceptional, hands on product leader to define and scale the information architecture that underpins our mobile and web platforms - powering digital customer experiences across the International Consumer Bank. This isn't simply about navigation or taxonomy. It's about creating the structural foundation - and the key decision making mechanisms - that enable millions of customers to effortlessly discovery, understand, and complete what matters most, from everyday banking to life's biggest financial decisions. You'll own the digital experience architecture and roadmap that connects products, content, customer journeys, and technology into one coherent ecosystem. Working across Product, Design, Engineering, Content, Data, and Research - you'll set the vision, operating model, and governance that makes every customer interaction simpler, smarter, and more intuitive. While enabling the bank to scale effectively across products, markets, and channels. This is a senior "player coach" role: highly strategic and influential, but also deeply involved in day to day delivery - shaping priorities, getting into the details, unblocking teams, and ensuring measurable outcomes across a broad portfolio of high profile initiatives and product launches. You'll be accountable for high quality delivery across the product development lifecycle, with clear plans, robust execution, and strong stakeholder visibility. What you'll do Define and lead the enterprise information architecture (IA) strategy across mobile and web Own discoverability, navigation, and end to end experience coherence across digital channels Create and evolve information models, navigation systems, taxonomies, content architecture, metadata models, and governance Establish IA and design principles, standards, and decision frameworks - including review processes and measurable quality metrics Own the app wide feature release roadmap, proactively managing cross team dependencies and influencing alignment across the organisation without direct authority Simplify complex journeys into intuitive, resilient, best in class digital experiences - across home and sub menus, product interactions, onboarding and authentication, customer profiles, and digital support Drive consistency across experiences while enabling product teams to ship quickly, safely, and with high quality Coordinate, balance, and arbitrate priorities across a range of product, brand, and country stakeholders to ensure effective representation and usability across digital ecosystems Champion the customer by translating voice of the customer feedback, research, and analytics, into clear problem statements, success metrics, and product requirements Improve search relevance and overall content/service discoverability Enable responsible use of AI to support future personalisation and smarter discovery Design strategies for multi market scaling, including localisation needs and the right balance of global scalability and market nuance Manage brand coherence and effective use of brand across the app and web experiences Define success metrics and measurement approaches for navigation and digital experiences; continuously improve outcomes through data, research, and experimentation Lead cross functional delivery across roadmaps, backlogs, requirements, dependency management, execution, and executive ready reporting; promote excellence in release management (feature flags, progressive delivery, CI/CD) Partner closely with Product, Design, Content, Research, Data Science, AI, Operations, and our iOS, Android, Web, and React Native Engineering teams Qualifications and skills 10-15+ years of product management experience - including leadership in information architecture, UX strategy, or digital experience platforms Proven experience building and operating enterprise scale IA frameworks, digital experience roadmaps, and governance models Exceptional stakeholder management and executive communication skills; proven track record leading complex cross functional initiatives and building alignment at scale Experience operating in multi market and multi product contexts; able to drive results and efficiency by setting organisation wide standards and ways of working Strong understanding of customer journeys, service design, and digital product strategy; fluency in UX and design principles (designer or researcher background is a plus) Strong command of research and testing approaches (e.g. experimentation/A B testing, usability testing, survey design, qualitative and quantitative research) Experience with search, personalisation, and AI driven discovery/content experiences Strong technical and delivery competence, including agile practices and execution in dependency rich, technology first environments Understanding of mobile platforms (iOS/Android), platform guidelines, and web best practices Experience with financial services, payments, cards, lending or regulated activities is helpful, but not mandatory if other qualifications are exceptionally strong About JPMorganChase When you work at JPMorgan Chase & Co., you're not just working at a global financial institution. You're an integral part of one of the world's biggest tech companies. In 20 technology centers worldwide, our team of 50,000 technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in electronic payments, cybersecurity, machine learning, and cloud development. Our $10B+ annual investment in technology enables us to hire people to create innovative solutions that will are transforming the financial services industry. At JPMorgan Chase & Co. we value the unique skills of every employee, and we're building a technology organization that thrives on diversity. We encourage professional growth and career development, and offer competitive benefits and compensation. If you're looking to build your career as part of a global technology team tackling big challenges that impact the lives of people and companies all around the world, we want to meet you. J.P. Morgan offers an exceptional benefits program and a highly competitive compensation package. J.P. Morgan is an Equal Opportunity Employer.

Product Support Manager Location: London or Edinburgh Salary: £31,000 - £34,000 (+ £3,300 London Weighting) We are recruiting a Product Support Manager to join a globally recognised education and cultural organisation with a significant international presence. The role sits within a specialist digital learning and assessment product area, supporting global English and Exams products used by learners, test takers, partners and internal teams across multiple international markets. This is an excellent opportunity to support the development, testing and delivery of high-quality global digital products across international English and Exams markets. Key Responsibilities Product, programme and service development Lead on the development of specific areas of the digital learning and assessment portfolio Ensure digital products are fit for purpose and support both income generation and impact objectives Work closely with the Product Owner to contribute to future digital learning and assessment concepts, products and content Contribute to the development of a learner and test-taker offer that aligns with the wider Global English and Exams strategy Ensure products and services meet market needs Manage end-user testing of digital assessment and learning products Collate feedback from users and stakeholders to inform product decisions Manage day-to-day liaison with developers and designers Ensure product requirements are understood, delivered on time, within budget and in line with quality standards Potentially own the product roadmap for existing products Manage the backlog for new product development where required Sector and subject expertise Build and develop knowledge of the latest developments in digital assessment and learning technologies Use research, academic papers and industry knowledge to inform product decisions Share knowledge and insight through conferences, publications and internal channels Keep up to date with emerging trends across digital learning, digital assessment and educational technology Consultancy and support Work across the global product development team to support a collaborative approach across the digital portfolio Provide advice and support to global teams on the use of digital learning and assessment platforms Support teams in using digital platforms to facilitate partnerships and content delivery Oversee monitoring and evaluation across the project portfolio Help ensure digital products are effectively embedded and used across global teams Commercial and resource management Use agreed corporate systems and processes to plan and manage budgets for small to medium-sized projects Conduct monthly and year-end reporting on expenditure, profitability and risk Maintain and develop procedures and systems that support corporate compliance in financial planning and management Support effective financial management across product and project activity Negotiate and manage contracts for the Product team with external contractors and consultants Manage and develop relationships with allocated partners, content providers, developers, mobile manufacturers, mobile network operators, consultants and other stakeholders Ensure external relationships support successful project delivery Leadership and management Plan and prioritise own work activities and those of wider project teams Coordinate input from internal teams, external freelancers, developers and other contributors Ensure effective delivery of diverse responsibilities and deliverables Follow corporate best practice for data protection and child protection Ensure activity remains compliant with relevant policy and legal requirements Share intelligence and ideas to support senior managers in identifying opportunities for digital learning Help identify ways digital learning can support cultural relations and commercial strategies Certification and professional qualifications Agile project management qualification preferred Minimum requirements Experience administering large-scale technical platform project operations Experience creating and maintaining process documentation Experience rolling out changes to business processes across multiple locations and/or time zones Experience supporting participants with a variety of roles across complex operating environments Ability to design and deliver consistently high-quality training collateral to short deadlines Experience creating e-learning modules, guides, videos, FAQ documents or similar user support materials Ability to handle large data sets from different data systems Ability to analyse data and feedback, identify opportunities and respond to changes Advanced Excel skills Experience using Power BI and/or other data processing software Experience working with digital learning or assessment platforms to meet user and customer needs Ability to troubleshoot, report and provide solutions or workarounds to technical problems Experience supporting large-scale learning or assessment platforms Desirable experience Familiarity with English and Exams digital products and platforms Experience in platform development Knowledge of global organisational structures and internal systems Knowledge and understanding of core English and Exams online operations Experience working across B2C and B2G contexts Experience running testing and UAT on technical platforms Important information Applicants must be a UK resident. No visa sponsorship is available for this role. This role is hybrid with no fully remote option. A physical presence in the office is required for the success of this role. Contact: Robert Sprigens, Rates depend on experience and client requirements.

Newcastle, United Kingdom Posted on 07/05/2026 Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference. Our teams work at the forefront of innovation, helping organisations transform and deliver high-quality, scalable solutions that truly matter. Overview: We are seeking an experienced Performance Analyst (SFIA 5) to lead performance measurement and analytics across complex digital services. This role focuses on embedding data-driven decision-making, ensuring services are designed and continuously improved based on user needs and measurable outcomes. You will operate at a strategic level, defining performance standards, advising senior stakeholders, and working across multidisciplinary teams to deliver impactful digital services at scale. Key Responsibilities: Performance Leadership & Strategic Measurement Lead and embed performance analysis across complex services or delivery areas Design and implement performance measurement frameworks, including KPIs and user-focused metrics Ensure alignment with Government Digital Service (GDS) standards and best practices Establish and maintain high-quality performance analytics standards Insight Generation & Decision Support Analyse data from multiple sources (user, service, and operational data) to generate actionable insights Translate complex data into clear narratives, dashboards, and recommendations Support teams in designing and iterating services with measurable outcomes Work closely with Product Managers, Delivery Managers, User Researchers, Designers, and Data Scientists Provide guidance on measurement strategies and interpretation of results Support decision-making in complex and ambiguous environments Capability Building & Leadership Coach and mentor analysts, ensuring quality and consistency in outputs Contribute to and lead communities of practice within performance analytics Define and promote standards, tools, and best practices Required Skills & Experience: Extensive experience in performance analysis for digital services, ideally within large-scale or complex environments Strong expertise in designing performance measurement frameworks, KPIs, and user-focused metrics Proven ability to generate insights from multiple data sources and provide data-driven recommendations Strong stakeholder management and influencing skills, including engagement with senior leadership Excellent communication and data storytelling skills Advanced experience with analytical tools such as: SQL Web analytics platforms (e.g., Google Analytics) Dashboarding tools (e.g., Power BI, Looker Studio) Experience working on public sector or government digital services Experience defining performance strategies across multiple teams or programmes Experience mentoring or leading analyst teams Experience working in hybrid or distributed delivery environments Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation and better outcomes. We are committed to fostering an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds and actively encourage individuals from underrepresented groups, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we are committed to providing reasonable adjustments throughout the recruitment process and during employment to ensure equal opportunities for all.

Senior Data Engineer - eDV Cleared Locations: Manchester, Gloucester or London (Full-Time, Permanent, Onsite) We are partnering with a leading defence and technology organisation to recruit an experienced Senior Data Engineer to join their highly specialised engineering teams across Manchester, Gloucester or London. This is an excellent opportunity to work on complex, mission-critical programmes within the National Security sector, delivering innovative solutions across AI, machine learning, cyber security and geospatial intelligence. As a Senior Data Engineer, you will join a collaborative Agile environment, playing a key role in designing, building and maintaining scalable data platforms and processing pipelines. You will work alongside software engineers, architects and stakeholders to transform and optimise data for advanced analytical and operational use. The team is actively hiring Data Engineers across multiple levels, offering opportunities for both experienced professionals seeking technical leadership and individuals looking to further develop their expertise within a high-performing engineering function. Please note: Due to the nature of the work, candidates must hold current and active eDV (Enhanced Developed Vetting) clearance. Key Responsibilities Design, develop and maintain robust data pipelines to ingest, clean, transform and aggregate data from a variety of sources. Collaborate closely with engineers, technical leads and stakeholders to deliver project objectives. Support the successful delivery of project milestones within Agile teams. Contribute to continuous improvement initiatives, engineering best practices and team capability development. Influence technical direction and contribute to architectural and design decisions. Required Skills & Experience Strong analytical skills with experience working with large-scale and unstructured datasets. Python development experience, including technologies such as PySpark, Pandas and PyArrow. Expertise in distributed data processing frameworks, particularly Apache Spark. Experience building and maintaining ETL pipelines using technologies such as Apache Airflow, AWS Step Functions or Apache NiFi. Cloud platform experience across AWS, Azure and/or GCP. Knowledge of messaging and streaming technologies including Kafka, AWS SQS or equivalent cloud-native services. Strong understanding of SQL and NoSQL databases. Experience with modern data storage technologies including HDFS, Iceberg, Elasticsearch, S3 and Data Lake architectures. Containerisation and orchestration experience using Docker, Kubernetes and/or OpenShift. Knowledge of testing frameworks, engineering standards and software development best practices. Experience working with source control systems, branching strategies, pull requests and code review processes. What's on Offer Opportunity to work on highly secure, cutting-edge programmes with real-world impact. Exposure to advanced technologies across AI, machine learning, cyber security and data engineering. Structured training and development support to help broaden your technical capabilities. Clear progression opportunities within a growing and highly regarded engineering function. Collaborative Agile environment working alongside some of the industry's leading technical specialists. Benefits Competitive salary and excellent benefits eDV bonus on top of salary and annual bonus Company bonus scheme Contributory Pension Scheme (up to 10.5% company contribution) 6 times salary 'Life Assurance' with pension 25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days If you're an eDV-cleared Data Engineer looking to work on some of the UK's most challenging and rewarding technology programmes, we'd be keen to discuss this opportunity further.

2833 - IT Solutions Architect (Contract/Permanent) Reference: 2833 Posted on 25 June 2026 We are seeking experienced IT Solutions Architects to provide architectural leadership across a major programme of work. You will be responsible for ensuring all programme projects are robust, compliant, and aligned to enterprise strategy, delivering long-term value and supporting the organisation's digital roadmap. Operating at programme level, you will act as the key interface between delivery teams and Enterprise Architecture, ensuring consistency, governance and alignment across multiple interdependent initiatives. We are particularly looking for architects who can bring a mix of domain expertise across key enterprise platforms, applications, and technology areas. Location: Glasgow, Perth, Aberdeen or Inverness (50/50 hybrid working - location can be chosen by the candidate based on the site that is most convenient) Contract Type: Contract or Permanent considered What you'll do Ensure consistency in design patterns, integration strategy and technology selection Act as the primary interface between programme delivery and Enterprise Architecture (EA) Support delivery teams in designing scalable, secure and supportable solutions Architecture Governance & Assurance Establish and embed architectural governance across forums such as: Design Authority Solution Assurance forums Review and assure vendor-produced architecture artefacts Conduct architecture reviews at key stages (discovery, design, delivery) Ensure solutions align to enterprise standards and guardrails, and technology roadmaps Group and domain strategy Facilitate governance checkpoints and manage architecture escalations / waivers Maintain awareness of evolving enterprise standards and innovations Solution Design & Delivery Assurance Validate that solutions: Meet business objectives Integrate effectively with existing platforms Comply with data, security and interoperability standards Ensure effective use of enterprise platforms, shared services and integration frameworks Governance & Documentation Produce and maintain high-quality architecture artefacts including: Solution Architecture Documents (SADs) High level and detailed designs Architecture decision logs Integration/interface specifications Roadmaps and impact assessments Support programme teams in securing timely approvals through governance Work closely with: Programme leadership, PMs and SMEs Enterprise Architecture, Security, Data and Infrastructure teams Third party vendors across design, procurement and delivery Lead vendor assurance across architecture design and integration What to bring Key Technology & Domain Experience (Highly Desirable) We are seeking architects with a blend of expertise across the following domains, with the expectation that the overall team will cover multiple areas: Microsoft Dynamics 365 PowerFactory System performance tools (e.g. PI) Sustainability applications / energy systems Customer websites and digital platforms Infrastructure (including cloud and virtual desktop environments) ESRI ArcGIS (including web and mobile applications) Core Experience Demonstrable experience as a Solutions Architect within large scale programmes Strong background working across multiple concurrent projects / portfolios Experience operating within a structured Enterprise Architecture / governance environment Proven ability to lead architecture assurance and design across complex ecosystems Strong stakeholder engagement skills, including senior business and technical leadership Technical & Architectural Expertise Strong experience in enterprise application design and integration Exposure to cloud platforms and infrastructure architecture Experience developing secure, scalable, and supportable solutions Knowledge of data, security and integration architectures Experience working with and assuring third party vendors and system integrators Involvement in RFPs, design assurance, and delivery oversight Methods & Governance, strong understanding of: Architecture standards and frameworks Governance processes and stage gates Agile and Waterfall delivery models What You'll Get in Return For employees, we're committed to recognising and rewarding hard work. Our competitive salary and benefits package includes; Company Pension Scheme, Private Medical & Dental Insurance, Group Income Protection, Group Life Assurance, Cycle to Work and Electric Car Salary Sacrifice Scheme. We also invest in your development. If you choose to self study in your own time, we'll fund your study materials and exam fees - and once you pass, you'll receive an incentive bonus. We're committed to creating an inclusive and accessible recruitment process. If you have any access needs or require adjustments at any stage of the application or assessment process, please let us know - we're happy to support you. Please note: All offers of employment will be subject to background checks and confirmation of the right to work in the UK.

2833 - IT Solutions Architect (Contract/Permanent) Reference: 2833 Posted on 25 June 2026 We are seeking experienced IT Solutions Architects to provide architectural leadership across a major programme of work. You will be responsible for ensuring all programme projects are robust, compliant, and aligned to enterprise strategy, delivering long-term value and supporting the organisation's digital roadmap. Operating at programme level, you will act as the key interface between delivery teams and Enterprise Architecture, ensuring consistency, governance and alignment across multiple interdependent initiatives. We are particularly looking for architects who can bring a mix of domain expertise across key enterprise platforms, applications, and technology areas. Location: Glasgow, Perth, Aberdeen or Inverness (50/50 hybrid working - location can be chosen by the candidate based on the site that is most convenient) Contract Type: Contract or Permanent considered What you'll do Ensure consistency in design patterns, integration strategy and technology selection Act as the primary interface between programme delivery and Enterprise Architecture (EA) Support delivery teams in designing scalable, secure and supportable solutions Architecture Governance & Assurance Establish and embed architectural governance across forums such as: Design Authority Solution Assurance forums Review and assure vendor-produced architecture artefacts Conduct architecture reviews at key stages (discovery, design, delivery) Ensure solutions align to enterprise standards and guardrails, and technology roadmaps Group and domain strategy Facilitate governance checkpoints and manage architecture escalations / waivers Maintain awareness of evolving enterprise standards and innovations Solution Design & Delivery Assurance Validate that solutions: Meet business objectives Integrate effectively with existing platforms Comply with data, security and interoperability standards Ensure effective use of enterprise platforms, shared services and integration frameworks Governance & Documentation Produce and maintain high-quality architecture artefacts including: Solution Architecture Documents (SADs) High level and detailed designs Architecture decision logs Integration/interface specifications Roadmaps and impact assessments Support programme teams in securing timely approvals through governance Work closely with: Programme leadership, PMs and SMEs Enterprise Architecture, Security, Data and Infrastructure teams Third party vendors across design, procurement and delivery Lead vendor assurance across architecture design and integration What to bring Key Technology & Domain Experience (Highly Desirable) We are seeking architects with a blend of expertise across the following domains, with the expectation that the overall team will cover multiple areas: Microsoft Dynamics 365 PowerFactory System performance tools (e.g. PI) Sustainability applications / energy systems Customer websites and digital platforms Infrastructure (including cloud and virtual desktop environments) ESRI ArcGIS (including web and mobile applications) Core Experience Demonstrable experience as a Solutions Architect within large scale programmes Strong background working across multiple concurrent projects / portfolios Experience operating within a structured Enterprise Architecture / governance environment Proven ability to lead architecture assurance and design across complex ecosystems Strong stakeholder engagement skills, including senior business and technical leadership Technical & Architectural Expertise Strong experience in enterprise application design and integration Exposure to cloud platforms and infrastructure architecture Experience developing secure, scalable, and supportable solutions Knowledge of data, security and integration architectures Experience working with and assuring third party vendors and system integrators Involvement in RFPs, design assurance, and delivery oversight Methods & Governance, strong understanding of: Architecture standards and frameworks Governance processes and stage gates Agile and Waterfall delivery models What You'll Get in Return For employees, we're committed to recognising and rewarding hard work. Our competitive salary and benefits package includes; Company Pension Scheme, Private Medical & Dental Insurance, Group Income Protection, Group Life Assurance, Cycle to Work and Electric Car Salary Sacrifice Scheme. We also invest in your development. If you choose to self study in your own time, we'll fund your study materials and exam fees - and once you pass, you'll receive an incentive bonus. We're committed to creating an inclusive and accessible recruitment process. If you have any access needs or require adjustments at any stage of the application or assessment process, please let us know - we're happy to support you. Please note: All offers of employment will be subject to background checks and confirmation of the right to work in the UK.