Who You Will Be Working With
You will join the Data Trust Capability in Capgemini’s Insights and Data (I&D) business unit. Insights and Data is a global business unit covering Enterprise Data Management, Cloud Platforms, Enterprise Content Management and AI & Analytics. Our team is one of the largest and most successful Data Management teams in the UK, delivering innovative Data Management and Governance thought leadership to our clients. The Enterprise Data Management services include Information Strategy, Data Governance, Master Data Management, Data Architecture, Data Migration and Lifecycle Management. We help our clients build an enterprise‑class data platform that allows them to move ahead in their journey of data and insights. Primarily working with leading software vendors like SAP, Informatica, IBM, Oracle and others, the team are first and foremost consultants, putting client requirements and industry best practices at the heart of delivery.
The Focus Of Your Role
The Senior Business Analyst will lead the analysis and design of data and AI enabled change. Working closely with business stakeholders, data teams and technology, you will translate business objectives into well‑defined requirements, processes and solutions. You will design, lead and deliver enterprise‑scale data management, AI, compliance, risk and security solutions that are grounded in high‑quality, well‑governed data, deliver measurable business outcomes and comply with relevant data governance, regulatory and responsible AI standards.
Key Responsibilities
* Lead cross‑functional Business and Technology teams to define, analyse and implement complex data‑driven change.
* Own and lead business analysis deliverables – requirement definition, gap analysis, process mapping, test design and execution.
* Understand, validate and document functional and non‑functional requirements.
* Assist client leads in understanding the scope of their data initiatives.
* Produce robust documentation on results and findings.
* Raise key issues and risks in a timely manner to the Project Manager/Delivery Lead.
* Identify and refine use cases where data and AI can drive measurable business value.
* Challenge and clarify stakeholder requests (e.g. “we need AI”) into concrete business problems and decision points.
* Assess feasibility, risks and data readiness for AI/ML/GenAI opportunities.
* Work with data owners, stewards and architects to identify required data sources, understand data lineage and constraints.
* Ensure requirements include data quality, metadata and governance needs (definitions, business rules, reference data, retention).
* Contribute to and consume business glossaries, ontologies and data catalogues to ensure consistent terminology and understanding.
* Help ensure AI use cases comply with data privacy, security and regulatory requirements (e.g. GDPR, sector‑specific rules).
* Translate business needs into requirements for AI/analytics solutions (decision support, predictions, recommendations, GenAI copilots).
* Define functional and non‑functional requirements for AI capabilities: performance, accuracy, reliability expectations; explainability / transparency needs; auditability, logging and traceability.
* Work with data scientists / engineers / AI teams to define test scenarios and acceptance criteria that reflect business reality.
* Shape experiments / pilots (A/B tests, MVPs) to validate AI use cases quickly and safely.
* Define and track KPIs / success metrics for AI‑enabled features (time saved, conversion rate uplift, error reduction, cost avoidance).
* Support the business in interpreting AI performance results and making adoption / scaling decisions.
* Analyse process and role impacts from AI solutions (who does what differently, what should be automated vs supported).
* Work with change, training and communications teams to support user adoption of AI tools and insights.
* Champion responsible AI – identify potential bias, fairness, transparency and user trust issues, and ensure they are addressed.
* Liaise with different levels of the hierarchy, especially Development Leads, Quantitative Analytics and Risk Managers.
* Follow good processes and practices, as defined by the team standards, ensuring that documentation is complete, comprehensive and signed off.
* Assist with prioritisation and planning of key deliverables.
* Work in an agile manner while still understanding the needs of planning and forecasting the overall delivery.
* Demonstrate strong leadership, senior stakeholder management, problem‑solving and decision‑making skills.
What You Will Bring
As a Senior Business Analyst, you will have 8–12+ years in business analyst roles across data, AI, security, compliance or cloud platforms, with proven experience delivering enterprise‑scale solutions. You’ll have a strong background in data management and data security/governance programmes.
Experience
* Ability to delve deep into complex topics, analyse the impact and provide solutions.
* Ability to assimilate information quickly and make informed decisions.
* Strong initiative and accountability to investigate, resolve issues and own outcomes.
* Excellent verbal, written and presentation communication skills.
* Experience working with cross‑region teams and projects.
* Ability to lead medium to large sized teams.
* Experience delivering projects using an Agile methodology.
* Strong understanding of data concepts: data quality, master/reference data, metadata, lineage, governance.
* Ability to interpret outputs from analytics, dashboards and models, and challenge them from a business perspective.
* Experience working with data governance frameworks and roles (data owners, stewards etc.).
Must‑have BA Skills
* Requirements elicitation for functional and non‑functional requirements.
* End‑to‑end business process analysis, modelling and mapping.
* Confident stakeholder management across business and technology.
* Practical experience across Waterfall, Agile and Scrum frameworks.
* Strong consulting skills and client‑facing engagement experience in data‑driven projects.
* Cross‑industry functional knowledge.
* Full delivery lifecycle experience: elicitation, design, build, testing, business change, operational support.
* Familiarity with AI and machine learning concepts (supervised vs unsupervised learning, prediction vs classification, model drift, basic evaluation metrics).
* Comfortable working with requirements / modelling tools (BPMN, UML, user story tools, backlog management).
* Experience eliciting and documenting data privacy, security and regulatory requirements.
* Understanding of where AI intersects with regulation, policy and data governance standards.
* Understanding of access controls, data minimisation and appropriate use of data in AI systems.
* Ability to lead analysis across complex, cross‑functional initiatives, especially where AI affects multiple processes and teams.
* Comfortable challenging assumptions about AI (“shiny object syndrome”), focusing on value, feasibility and risk.
Further Information
* Good‑to‑have skills: BA/SCRUM/PM qualifications, MDM, data governance, data modelling exposure, JIRA, Confluence, understanding of GenAI / LLM capabilities and limitations, experience with AI/ML or advanced analytics projects, BI/analytics tools (Power BI, Tableau), exposure to AI platforms (Azure OpenAI, MLOps).
Additional Interests
* Security Clearance: must be eligible to obtain Security Check (SC) clearance, continuous residence in the UK for the last 5 years and meet other criteria.
* Hybrid working: blend of company offices, client sites and home; not full remote.
* Pre‑employment checks: identity, nationality, immigration status, employment history, DBS check.
What We’ll Offer You
Positive work‑life balance with a hybrid‑first approach. Flexible working arrangements available to all UK employees. Learning and development opportunities via Capgemini’s ‘learning for life’ mindset – access to 250,000 courses, external certifications (AWS, Microsoft, Harvard Manage Mentor, Cybersecurity). Empowerment to explore, innovate and progress.
Why We’re Different
Capgemini helps organisations worldwide become more agile, competitive and successful. We deliver smart, tailored, often ground‑breaking technical solutions to complex problems while fostering a collaborative, forward‑thinking culture. Working closely with clients, we get under the skin of businesses and to the heart of their goals. You will too.
Diversity Statement
Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age and religion – including social background, experiences, communication styles and personality. These dimensions contribute to the type of diversity we value most: diversity of thought.
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