Experis IT
Role Title: Senior Security AI Solution Architect/Consultant Duration: contract to run until 26/03/2026 Location: London, Hybrid/Flexible (Occasional travel to NW may be required) Rate: up to £671 p/d Umbrella inside IR35 Role purpose/summary Our client is looking for a Snr Security AI Solution Architect/Consultant To support and deliver secure AI solutions within financial services. The architect will shape strategy, design future-state architecture, and deliver practical security capabilities for AI adoption, ensuring compliance with evolving regulations and maintaining a strong security posture. Key Skills/requirements Assess "as-is" and "to-be" security architectures for AI Platforms, AI & GENAI Delivery Roadmaps. Share Security AI & GENAI Security Learnings & Subject Matter Expertise. Shape the short- & long-term AI Security Architecture Strategy incorporating regulation (EUAI Act), standards, framework & policy priorities. Develop architectural documentation for AI security initiatives. Support the delivery of the AI Security Architecture Strategy across both internal & external stakeholders to Security. Ensure there is a fit for purpose set of Functional and Non-Functional Requirements for project technology deliveries Provide hands-on delivery support where required. General "architect" responsibilities that they would also contribute to: Ensure there is a current Security Architecture defined and maintained for key domains (eg, Endpoint, Cloud, Network, etc.) which clearly outlines the security principles, requirements and capabilities required and how those are instantiated Ensure there is an architectural vision for all projects that at minimum has a component architecture and high-level business process defined (including the product owner and operational team) Ensure architecture artifacts allow to us to quickly answer and evidence routine regulatory queries and attestations Ensure there is a fit for purpose set of Functional and Non-Functional Requirements for project technology deliveries Map security tooling deployed in the estate (including non-standard environments and non-CISO managed technologies) to the capabilities it implements (not the set of product features - what is actually in use and operationalised) Ensure that projects have correctly aligned scope to Cyber Excellence Programmes and technology/platform strategy Provide input to and take ownership of relevant architectural artifacts that will be produced as part of Excellence Programme workstreams. Survey emerging threats and emerging technologies to identify opportunities for targeted innovation exercises such Proof of Value evaluations Produce patterns which outline solutions for commonly occurring business security needs and security service consumption Validate patterns are adopted by control domain solutions Support Security Consultants as required on complex engagements and provide architectural artifacts such as patterns and principles where necessary Essential Skills & Experience Proven experience as a Security Solution Architect Deep understanding of AI and Generative AI technologies. Deep understanding of AI and Generative AI Security Capabilities. Knowledge of infrastructure and cloud security (AWS; exposure to Azure, GCP, and on-premise environments also valuable). Areas of Knowledge/Skillset: Emergent Technology Governance Artificial Intelligence Data Security within AI Systems Machine Learning AI Operation Cyber recovery IT Infrastructure, Cloud Risk and Regulation Experience in financial services environments. Ability to work across both strategic (roadmaps, future planning) and tactical (delivery, hands-on execution) levels. Personable and collaborative approach, with the ability to engage stakeholders and "roll up sleeves" when needed. Desirable Skills: Experience with regulatory compliance in AI and security, especially EU AI Act. Previous work on securing AI models and platforms (model trust, data security, usage monitoring). AI & GenAI Architecture: Design and implementation of AI factories, pipelines, and modular platforms across regulated environments. GenAI System Design and Implementation: End to end delivery of AI and GenAI systems using modern architecture techniques including LLM optimisation, RAG and Agentic design. AI Risk Management & Governance: Development of bespoke risk frameworks, taxonomies, and AI control libraries tailored to MRM, CRO, and CDO functions. Responsible & Ethical AI: Integration of RAI principles into system design, controls, audit frameworks, and enterprise AI strategies. Cyber & Resilience in AI: Embedding threat modelling, adversarial robustness, data integrity, and continuity planning into AI solution architecture. AI Enablement & Delivery: End-to-end AI life cycle orchestration including readiness assessments, regulatory reviews, and business adoption. Emerging Technology Strategy: Digital responsibility, AI assurance, and horizon scanning for next-gen regulatory, legal, and societal risks. Experience liaising with senior stakeholders and external consultancies (PwC, Accenture, etc.) All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
Role Title: Senior Security AI Solution Architect/Consultant Duration: contract to run until 26/03/2026 Location: London, Hybrid/Flexible (Occasional travel to NW may be required) Rate: up to £671 p/d Umbrella inside IR35 Role purpose/summary Our client is looking for a Snr Security AI Solution Architect/Consultant To support and deliver secure AI solutions within financial services. The architect will shape strategy, design future-state architecture, and deliver practical security capabilities for AI adoption, ensuring compliance with evolving regulations and maintaining a strong security posture. Key Skills/requirements Assess "as-is" and "to-be" security architectures for AI Platforms, AI & GENAI Delivery Roadmaps. Share Security AI & GENAI Security Learnings & Subject Matter Expertise. Shape the short- & long-term AI Security Architecture Strategy incorporating regulation (EUAI Act), standards, framework & policy priorities. Develop architectural documentation for AI security initiatives. Support the delivery of the AI Security Architecture Strategy across both internal & external stakeholders to Security. Ensure there is a fit for purpose set of Functional and Non-Functional Requirements for project technology deliveries Provide hands-on delivery support where required. General "architect" responsibilities that they would also contribute to: Ensure there is a current Security Architecture defined and maintained for key domains (eg, Endpoint, Cloud, Network, etc.) which clearly outlines the security principles, requirements and capabilities required and how those are instantiated Ensure there is an architectural vision for all projects that at minimum has a component architecture and high-level business process defined (including the product owner and operational team) Ensure architecture artifacts allow to us to quickly answer and evidence routine regulatory queries and attestations Ensure there is a fit for purpose set of Functional and Non-Functional Requirements for project technology deliveries Map security tooling deployed in the estate (including non-standard environments and non-CISO managed technologies) to the capabilities it implements (not the set of product features - what is actually in use and operationalised) Ensure that projects have correctly aligned scope to Cyber Excellence Programmes and technology/platform strategy Provide input to and take ownership of relevant architectural artifacts that will be produced as part of Excellence Programme workstreams. Survey emerging threats and emerging technologies to identify opportunities for targeted innovation exercises such Proof of Value evaluations Produce patterns which outline solutions for commonly occurring business security needs and security service consumption Validate patterns are adopted by control domain solutions Support Security Consultants as required on complex engagements and provide architectural artifacts such as patterns and principles where necessary Essential Skills & Experience Proven experience as a Security Solution Architect Deep understanding of AI and Generative AI technologies. Deep understanding of AI and Generative AI Security Capabilities. Knowledge of infrastructure and cloud security (AWS; exposure to Azure, GCP, and on-premise environments also valuable). Areas of Knowledge/Skillset: Emergent Technology Governance Artificial Intelligence Data Security within AI Systems Machine Learning AI Operation Cyber recovery IT Infrastructure, Cloud Risk and Regulation Experience in financial services environments. Ability to work across both strategic (roadmaps, future planning) and tactical (delivery, hands-on execution) levels. Personable and collaborative approach, with the ability to engage stakeholders and "roll up sleeves" when needed. Desirable Skills: Experience with regulatory compliance in AI and security, especially EU AI Act. Previous work on securing AI models and platforms (model trust, data security, usage monitoring). AI & GenAI Architecture: Design and implementation of AI factories, pipelines, and modular platforms across regulated environments. GenAI System Design and Implementation: End to end delivery of AI and GenAI systems using modern architecture techniques including LLM optimisation, RAG and Agentic design. AI Risk Management & Governance: Development of bespoke risk frameworks, taxonomies, and AI control libraries tailored to MRM, CRO, and CDO functions. Responsible & Ethical AI: Integration of RAI principles into system design, controls, audit frameworks, and enterprise AI strategies. Cyber & Resilience in AI: Embedding threat modelling, adversarial robustness, data integrity, and continuity planning into AI solution architecture. AI Enablement & Delivery: End-to-end AI life cycle orchestration including readiness assessments, regulatory reviews, and business adoption. Emerging Technology Strategy: Digital responsibility, AI assurance, and horizon scanning for next-gen regulatory, legal, and societal risks. Experience liaising with senior stakeholders and external consultancies (PwC, Accenture, etc.) All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
Boston Consulting Group
Locations: Boston London Atlanta Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do Join the Data Layer Team, a global portfolio transforming our organization into a data-driven enterprise! The Data Layer Team is a portfolio of 30 people who build essential data platforms, products, and capabilities to empower our clients and colleagues with high-quality, actionable insights. Our focus is on creating scalable data solutions and advancing our data infrastructure to drive informed decision-making across the company. As Use Case Enablement Product Analyst within BCG's Data Layer Team, you will collaborate with Use Case Enablement Product Owner and cross-functional teams to gather and analyze business and data requirements. Your role is critical to bridging the gap between business stakeholders and technical teams, ensuring that new GenAI use cases are well-scoped, feasible, and aligned with user needs. You will work with various Gen AI use cases and applications, including: Consultant Journey - internal GenAI assistants that changes the way consultants work to provide value to our clients. Practice Area GenAI applications - developed by functional practice areas to support various capabilities (e.g., outside-in rapid cost diagnostics or Accelerated Cost Analysis). Data catalog - a centralized library that provides consulting teams with access to critical tools and data assets across BCG These tools require ingestion of multiple data sources, and your role will be to support the selection of eligible datasets and identify the best sources for each GenAI use case. You will ensure that these use cases and applications are equipped with the necessary data pipelines to maximize their impact on business and users. You will play a key role in use case discovery and requirements refinement, while also managing the continuous maintenance and enhancement of data asset quality, accuracy, and stability to support evolving use cases. Detailed responsibilities include: Deliver business results and customer value Support the development of GenAI-enabled data products by helping translate business needs into actionable data requirements Help to define requirements for user stories and structure the backlog with a focus on measurable outcomes Help shape GenAI-enabled use cases that contribute to real business impact, through thoughtful prioritization and attention to detail Participate in evaluating use case success metrics and learn from what works (and what doesn't) Serve as the voice of customer or end-user Translate business needs into user stories, engaging end users for continuous feedback Engaging in continuous data discovery exercises to understand most valuable data assets that satisfy customer needs Balance customer value, technical feasibility, and business impact when making prioritization decisions Work with product teams to integrate GenAI-enhanced offerings into BCG systems and workflows Deliver high-quality outcomes Collaborate with engineers, architects, and product teammates to test and validate data pipelines - ensuring solutions are robust, accurate, and useful Contribute to documentation that helps others understand the "why" and "how" behind what's been built, supporting long-term scalability and reuse Work with stakeholders across BCG (e.g., Practice Areas, Knowledge Teams) to ensure data products are grounded in real needs and enable meaningful use Share observations, risks, or open questions early-your input helps the team avoid missteps and refine solutions before they reach users YOU'RE GOOD AT Being user-focused - Deeply understanding and translating business needs into GenAI-enabled solutions, ensuring offerings address real user challenges Communicating with transparency - Clearly and openly engaging with stakeholders at all levels, ensuring alignment, visibility, and trust across teams Bringing a data-driven approach to decision-making - Leveraging qualitative and quantitative insights to prioritize initiatives, measure impact, and refine solutions Facilitating data discovery sessions - Engaging business stakeholders to capture business context, user intent, and data solution objectives Breaking down complex challenges - Applying critical reasoning and creative problem-solving to analyze problem statements and design effective, scalable solutions Collaborating with product and technical teams - Working closely with POs, engineers, and data stewards to ensure solutions meet expectations and constraints Collaborating with development teams - Ensuring prioritized data sources align with GenAI solution requirements, business objectives, and technical feasibility Defining and tracking KPIs - Establishing measurable success metrics to drive squad performance and ensure data products align with OKRs Documenting thoughtfully - Creating simple, clear artifacts (e.g., data definitions, flow diagrams, test plans) that others can build from Contributing to continuous improvement - Bringing curiosity and a mindset of learning, always looking for ways to improve how the team works or deliver What You'll Bring 4-6+ years of experience in a product analyst, business analyst, or data analyst role -ideally supporting data or AI-related projects Project management skills, with ability to build project plans, track progress, drive alignment and manage risks Proven experience in AI, GenAI, or data product development, preferably with a focus on GenAI powered user-facing applications Experience in enterprise software development, data engineering, or AI-driven transformation initiatives Experience working with structured and unstructured data, and familiarity with modern data platforms (e.g., Snowflake, AWS, SharePoint) A working knowledge of agile ways of working, and openness to learning through iteration and feedback Understanding of enterprise data governance, AI model integration, and scalable data architecture Familiarity with AI/ML technologies, including GenAI models (e.g., OpenAI GPT, RAG, fine-tuning models, or machine learning frameworks) Good communication skills, especially when collaborating across different functions or surfacing potential risks or questions Familiarity with tools like JIRA, Confluence, Excel, or lightweight data catalog platforms is a plus Experience in a consulting or client-service environment is helpful, but not required Who You'll Work With BCG Global Consulting Practice Areas (Functional & Industry) and Data Teams - Partnering with business leaders to transform prioritized offerings into GenAI-enabled solutions, collaborating with teams such as the Data Product Portfolio, Data Governance CoE, Master Data Management, Enterprise Architecture, and Data Product Development Data Layer Offer Enablement Product Owner Lead (PO) - Aligning on strategic priorities, roadmap development, and execution Data Layer Offer Enablement Team - Collaborating amongst Data Product Analyst, and working alongside data engineers, lead architects, data stewards, and QA engineers Data Layer Data Governance Team - Partnering to ensure that data assets meet quality, metadata, and compliance standards, and are appropriately catalogued for reuse Product Teams - Collaborating with BCG's product team members to integrate required data sources into GenAI-enhanced offerings Agile Coaches - Embedding agile principles into daily work, leveraging coaching support to drive an iterative and user-focused approach to GenAI use case development Data Product Consumers (Internal Customers) - Translating their voice and needs into user stories, ensuring their requirements are reflected in the backlog, and actively engaging them for feedback and validation Additional info In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $102,000.00 - $137,333.33 This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 12% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. . click apply for full job details
Locations: Boston London Atlanta Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do Join the Data Layer Team, a global portfolio transforming our organization into a data-driven enterprise! The Data Layer Team is a portfolio of 30 people who build essential data platforms, products, and capabilities to empower our clients and colleagues with high-quality, actionable insights. Our focus is on creating scalable data solutions and advancing our data infrastructure to drive informed decision-making across the company. As Use Case Enablement Product Analyst within BCG's Data Layer Team, you will collaborate with Use Case Enablement Product Owner and cross-functional teams to gather and analyze business and data requirements. Your role is critical to bridging the gap between business stakeholders and technical teams, ensuring that new GenAI use cases are well-scoped, feasible, and aligned with user needs. You will work with various Gen AI use cases and applications, including: Consultant Journey - internal GenAI assistants that changes the way consultants work to provide value to our clients. Practice Area GenAI applications - developed by functional practice areas to support various capabilities (e.g., outside-in rapid cost diagnostics or Accelerated Cost Analysis). Data catalog - a centralized library that provides consulting teams with access to critical tools and data assets across BCG These tools require ingestion of multiple data sources, and your role will be to support the selection of eligible datasets and identify the best sources for each GenAI use case. You will ensure that these use cases and applications are equipped with the necessary data pipelines to maximize their impact on business and users. You will play a key role in use case discovery and requirements refinement, while also managing the continuous maintenance and enhancement of data asset quality, accuracy, and stability to support evolving use cases. Detailed responsibilities include: Deliver business results and customer value Support the development of GenAI-enabled data products by helping translate business needs into actionable data requirements Help to define requirements for user stories and structure the backlog with a focus on measurable outcomes Help shape GenAI-enabled use cases that contribute to real business impact, through thoughtful prioritization and attention to detail Participate in evaluating use case success metrics and learn from what works (and what doesn't) Serve as the voice of customer or end-user Translate business needs into user stories, engaging end users for continuous feedback Engaging in continuous data discovery exercises to understand most valuable data assets that satisfy customer needs Balance customer value, technical feasibility, and business impact when making prioritization decisions Work with product teams to integrate GenAI-enhanced offerings into BCG systems and workflows Deliver high-quality outcomes Collaborate with engineers, architects, and product teammates to test and validate data pipelines - ensuring solutions are robust, accurate, and useful Contribute to documentation that helps others understand the "why" and "how" behind what's been built, supporting long-term scalability and reuse Work with stakeholders across BCG (e.g., Practice Areas, Knowledge Teams) to ensure data products are grounded in real needs and enable meaningful use Share observations, risks, or open questions early-your input helps the team avoid missteps and refine solutions before they reach users YOU'RE GOOD AT Being user-focused - Deeply understanding and translating business needs into GenAI-enabled solutions, ensuring offerings address real user challenges Communicating with transparency - Clearly and openly engaging with stakeholders at all levels, ensuring alignment, visibility, and trust across teams Bringing a data-driven approach to decision-making - Leveraging qualitative and quantitative insights to prioritize initiatives, measure impact, and refine solutions Facilitating data discovery sessions - Engaging business stakeholders to capture business context, user intent, and data solution objectives Breaking down complex challenges - Applying critical reasoning and creative problem-solving to analyze problem statements and design effective, scalable solutions Collaborating with product and technical teams - Working closely with POs, engineers, and data stewards to ensure solutions meet expectations and constraints Collaborating with development teams - Ensuring prioritized data sources align with GenAI solution requirements, business objectives, and technical feasibility Defining and tracking KPIs - Establishing measurable success metrics to drive squad performance and ensure data products align with OKRs Documenting thoughtfully - Creating simple, clear artifacts (e.g., data definitions, flow diagrams, test plans) that others can build from Contributing to continuous improvement - Bringing curiosity and a mindset of learning, always looking for ways to improve how the team works or deliver What You'll Bring 4-6+ years of experience in a product analyst, business analyst, or data analyst role -ideally supporting data or AI-related projects Project management skills, with ability to build project plans, track progress, drive alignment and manage risks Proven experience in AI, GenAI, or data product development, preferably with a focus on GenAI powered user-facing applications Experience in enterprise software development, data engineering, or AI-driven transformation initiatives Experience working with structured and unstructured data, and familiarity with modern data platforms (e.g., Snowflake, AWS, SharePoint) A working knowledge of agile ways of working, and openness to learning through iteration and feedback Understanding of enterprise data governance, AI model integration, and scalable data architecture Familiarity with AI/ML technologies, including GenAI models (e.g., OpenAI GPT, RAG, fine-tuning models, or machine learning frameworks) Good communication skills, especially when collaborating across different functions or surfacing potential risks or questions Familiarity with tools like JIRA, Confluence, Excel, or lightweight data catalog platforms is a plus Experience in a consulting or client-service environment is helpful, but not required Who You'll Work With BCG Global Consulting Practice Areas (Functional & Industry) and Data Teams - Partnering with business leaders to transform prioritized offerings into GenAI-enabled solutions, collaborating with teams such as the Data Product Portfolio, Data Governance CoE, Master Data Management, Enterprise Architecture, and Data Product Development Data Layer Offer Enablement Product Owner Lead (PO) - Aligning on strategic priorities, roadmap development, and execution Data Layer Offer Enablement Team - Collaborating amongst Data Product Analyst, and working alongside data engineers, lead architects, data stewards, and QA engineers Data Layer Data Governance Team - Partnering to ensure that data assets meet quality, metadata, and compliance standards, and are appropriately catalogued for reuse Product Teams - Collaborating with BCG's product team members to integrate required data sources into GenAI-enhanced offerings Agile Coaches - Embedding agile principles into daily work, leveraging coaching support to drive an iterative and user-focused approach to GenAI use case development Data Product Consumers (Internal Customers) - Translating their voice and needs into user stories, ensuring their requirements are reflected in the backlog, and actively engaging them for feedback and validation Additional info In the US, we have a compensation transparency approach. Total compensation for this role includes base salary, annual discretionary performance bonus, retirement contribution, and a market leading benefits package described below. The base salary range for this role in Boston is $102,000.00 - $137,333.33 This is an estimated range, however, specific base salaries within the range depend on various factors such as experience and skill set. It is not common for new BCG employees to be hired at the high-end of the salary range. BCG regularly reviews its ranges to ensure market competitiveness. In addition to your base salary, your total compensation will include a bonus of up to 12% and a generous retirement contribution that starts at 5% and moves to 10% after 2 years. . click apply for full job details
CapGemini
About Capgemini Invent At Capgemini Invent, we help our clients to embrace innovation and transformation to get the future they want. By combining strategy, technology, data science, and creative design expertise with an inventive mindset, we partner with our clients to innovate and transform their business, helping them navigate today, while plotting a course for the future. About Capgemini Invent As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth. Capgemini Invent is an integral part of Capgemini, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2021 global revenues of €18 billion Our brand promise "Get The Future You Want" reflects our passion for people and technology and highlights the company's commitment to inclusion and sustainability. An important aspect of 'Get the Future You Want' is to balance hybrid ways of working between your Capgemini office, home, and client location (where applicable). We recognise that it is an imperative to create flexibility so you can enjoy an optimal work-life balance and feel empowered to achieve success. When you come onboard, or before, please discuss this with your manager so you can agree the best ways of working for your role, team, and client. Get The Future You Want An overview of the role As a (Consultant/Senior Consultant) Data Migration Architect, you will be the Subject Matter Expert (SME) for helping customers successfully modernize their data platforms, migrate them to the Cloud native platforms, and infuse AI in existing solution. You will work closely with clients and partners in guiding them in building new solutions that incorporate the very best of Data & AI solution available today, by providing architectural deep dive and hands-on expertise. Experience Experience in migrating from one data platform to another and holistically addressing the unique challenges of migrating to a new platform, from business case, TCO to the actual technical implementation. Prior work experience in a Consulting/Architecture position is essential. We are looking for passionate people who have deep data platform experience, but also ability to operate as an advisor to senior data leaders in client organisations. Proven track record of driving decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills Why you? Be a technical expert on all aspects of some or all of the cloud native Data Analytic Platforms such as Azure Synapse, Amazon Redshift, EMR, Athena, Databricks, Snowflake, BigQuery, DataProc, Cloudera, etc Guide customers through the process of migrating to appropriate target platform though architectural deep dive and improving current methodologies to provide clients a seamless migration process Work hands-on with clients to demonstrate and communicate implementation best practices on the target migrated platform, ensure training and enablement is achieved so clients are comfortable with their new target operating model. Maintain deep understanding of complementary technologies on all AWS, Azure and GCP Extensive hands-on expertise with SQL and SQL analytics. Python, Terraform (or similar) and CI/CD skills will be an added bonus. Extensive knowledge of and experience with large-scale database technology (e.g. Teradata, Oracle Exadata, Netezza, Greenplum, etc.) Presenting skills is key, need to convey value to both technical and executive audiences, on a whiteboard or using presentations and demos The work No matter the project or customer, your work will have a meaningful impact on society, businesses and lives. It's really rewarding. And it's also really varied. You'll potentially work on a huge variety of projects (some larger than others), so you could gain lots of experience in a short amount of time. Why us ? As a team: We value diversity: we embrace the value that diverse teams bring to our A&AI practice and our clients. We focus on clients: positively impacting our clients data culture and operations We are committed to learning and development: obsessed with advancing our data, insights and analytics skills We're stronger when we collaborate: active collaboration and other Invent capabilities and with wider Capgemini, most notably I&D (Insights and Data), Hybrid Intelligence (previously known as Tessella) and with select third party alliances We foster community: building new analytics and AI products and services through our functional and industry communities of interest and help individuals with their though leadership We believe data can be a driver for a better world: we will use our AI & analytics skills to improve sustainability, address climate change and champion active inclusion
About Capgemini Invent At Capgemini Invent, we help our clients to embrace innovation and transformation to get the future they want. By combining strategy, technology, data science, and creative design expertise with an inventive mindset, we partner with our clients to innovate and transform their business, helping them navigate today, while plotting a course for the future. About Capgemini Invent As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth. Capgemini Invent is an integral part of Capgemini, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2021 global revenues of €18 billion Our brand promise "Get The Future You Want" reflects our passion for people and technology and highlights the company's commitment to inclusion and sustainability. An important aspect of 'Get the Future You Want' is to balance hybrid ways of working between your Capgemini office, home, and client location (where applicable). We recognise that it is an imperative to create flexibility so you can enjoy an optimal work-life balance and feel empowered to achieve success. When you come onboard, or before, please discuss this with your manager so you can agree the best ways of working for your role, team, and client. Get The Future You Want An overview of the role As a (Consultant/Senior Consultant) Data Migration Architect, you will be the Subject Matter Expert (SME) for helping customers successfully modernize their data platforms, migrate them to the Cloud native platforms, and infuse AI in existing solution. You will work closely with clients and partners in guiding them in building new solutions that incorporate the very best of Data & AI solution available today, by providing architectural deep dive and hands-on expertise. Experience Experience in migrating from one data platform to another and holistically addressing the unique challenges of migrating to a new platform, from business case, TCO to the actual technical implementation. Prior work experience in a Consulting/Architecture position is essential. We are looking for passionate people who have deep data platform experience, but also ability to operate as an advisor to senior data leaders in client organisations. Proven track record of driving decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills Why you? Be a technical expert on all aspects of some or all of the cloud native Data Analytic Platforms such as Azure Synapse, Amazon Redshift, EMR, Athena, Databricks, Snowflake, BigQuery, DataProc, Cloudera, etc Guide customers through the process of migrating to appropriate target platform though architectural deep dive and improving current methodologies to provide clients a seamless migration process Work hands-on with clients to demonstrate and communicate implementation best practices on the target migrated platform, ensure training and enablement is achieved so clients are comfortable with their new target operating model. Maintain deep understanding of complementary technologies on all AWS, Azure and GCP Extensive hands-on expertise with SQL and SQL analytics. Python, Terraform (or similar) and CI/CD skills will be an added bonus. Extensive knowledge of and experience with large-scale database technology (e.g. Teradata, Oracle Exadata, Netezza, Greenplum, etc.) Presenting skills is key, need to convey value to both technical and executive audiences, on a whiteboard or using presentations and demos The work No matter the project or customer, your work will have a meaningful impact on society, businesses and lives. It's really rewarding. And it's also really varied. You'll potentially work on a huge variety of projects (some larger than others), so you could gain lots of experience in a short amount of time. Why us ? As a team: We value diversity: we embrace the value that diverse teams bring to our A&AI practice and our clients. We focus on clients: positively impacting our clients data culture and operations We are committed to learning and development: obsessed with advancing our data, insights and analytics skills We're stronger when we collaborate: active collaboration and other Invent capabilities and with wider Capgemini, most notably I&D (Insights and Data), Hybrid Intelligence (previously known as Tessella) and with select third party alliances We foster community: building new analytics and AI products and services through our functional and industry communities of interest and help individuals with their though leadership We believe data can be a driver for a better world: we will use our AI & analytics skills to improve sustainability, address climate change and champion active inclusion
