{"id":3945383,"url":"https://alion.io/job/capgemini-senior-business-analyst-7","title":"Senior Business Analyst","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":79,"open_postings":1815,"ghost_share":0.005,"stale_share":0.826,"repost_share":0.017,"time_to_fill_p50_days":30,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Birmingham, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Agile","optional":false},{"name":"BPMN","optional":false},{"name":"GDPR","optional":false},{"name":"Informatica","optional":false},{"name":"Machine Learning","optional":false},{"name":"Master Data Management","optional":false},{"name":"Scrum","optional":false},{"name":"UML","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Confluence","optional":true},{"name":"LLM","optional":true},{"name":"OpenAI","optional":true},{"name":"Power BI","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-11-05T18:35:49Z","employer_posted_date":"2026-11-07","last_verified_at":"2026-11-13T18:08:09Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Who You Will Be Working With\nYou 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.\nOur 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.\nThe Enterprise Data Management provides services on Information Strategy, Data Governance, Master Data Management, Data Architecture, Data Migration and Lifecycle Management.\nWe 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 et al, the team are first and foremost Consultants, putting client requirements and industry best practices at the heart of delivery.\nThe Focus Of Your Role\nThe Senior Business Analyst will lead the analysis and design of data and AI enabled change, working closely with business stakeholders, data teams and technology to translate business objectives into well defined requirements, processes, assisting designing, leading, and delivering enterprise scale data management, AI, compliance, risk, and security solutions. The role will ensure that the Data and AI solutions are grounded in high quality, well governed data, deliver measurable business outcomes, and comply with relevant data governance, regulatory and responsible AI standards.\nKey Responsibilities\nKey responsibilities include:\nLead cross-functional Business and Technology teams to define, analyse, and implement complex data-driven change.\nOwn and lead business analysis deliverables including requirement definition, gap analysis, process mapping, support test design and execution. \n Understand, validate and Document functional and non-functional requirements.\n Assist client leads in understanding the scope of their data initiatives.\nRobust documentation on results and findings.\nRaise key issues and risks in a timely manner to the Project Manager/Delivery Lead\nIdentify and refine use cases where data and AI can drive measurable business value\nChallenge and clarify stakeholder requests (e.g. “we need AI”) into concrete business problems and decision points\nAssess feasibility, risks, and data readiness for AI/ML/GenAI opportunities\nWork with data owners, stewards and architects to identify required data sources, understand data lineage and constraints\nEnsure requirements include data quality, metadata and governance needs (e.g. definitions, business rules, reference data, retention)\nContribute to and consume business glossaries, ontologies and data catalogues to ensure consistent terminology and understanding\nHelp ensure AI use cases comply with data privacy, security and regulatory requirements (e.g. GDPR, sector specific rules),\nTranslate business needs into requirements for AI/analytics solutions (e.g. decision support, predictions, recommendations, GenAI copilots),\nDefine functional and non functional requirements for AI capabilities:-performance, accuracy and reliability expectations\n-explainability / transparency needs\n-auditability, logging and traceability\n-Work with data scientists / engineers / AI teams to define test scenarios and acceptance criteria that reflect business reality (e.g. edge cases, thresholds for “good enough” accuracy).\n\nShape experiments / pilots (A/B tests, MVPs) to validate AI use cases quickly and safely.\nDefine and track KPIs / success metrics for AI enabled features (e.g. time saved, conversion rate uplift, error reduction, cost avoidance)\nSupport the business in interpreting AI performance results and making adoption / scaling decisions\nAnalyse process and role impacts from AI solutions (who does what differently, what should be automated vs supported).\nWork with change, training and comms teams to support user adoption of AI tools and insights.\nChampion responsible AI: help identify potential bias, fairness, transparency, and user trust issues, and ensure they are discussed and addressed.\nLiaise with different levels of the hierarchy, especially with Development Leads, Quantitative Analytics and Risk Managers.\nFollow good processes and practices, as defined by the team standards; ensuring that documentation is complete, comprehensive and signed off.\nAssist with the prioritisation and planning of key deliverables.\nWork in an agile manner whilst still understanding the needs of planning and forecasting the overall delivery.\nDemonstrate strong leadership, senior stakeholder management, problem-solving, and decision-making skills.\nYou may also offer insights to the wider community through blogs, articles and social media.\nAt Capgemini, we believe in bringing your whole self to work. Equity, diversity, and inclusion are woven into our everyday culture, creating a welcoming and supportive environment for everyone.\nWhat You Will Bring\nAs 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.\nExperience\nAbility to delve deep into complex topics, analyse the impact and provide solutions\nAbility to assimilate information quickly and make informed decisions\nStrong initiative and accountability to investigate, resolve issues and own outcomes\nExcellent verbal, written and presentation communication skills\nExperience in working with cross-region teams and projects\nAbility to lead medium to large sized teams.\nExperience in delivering projects using an Agile methodology\nStrong understanding of data concepts: data quality, master/reference data, metadata, lineage, governance.\nAbility to interpret outputs from analytics, dashboards and models, and challenge them from a business perspective.\nExperience working with data governance frameworks and roles (data owners, stewards etc.).\n“Must-have” BA skills:\nRequirements elicitation for functional and non-functional requirements\nEnd-to-end business process analysis, modelling, and mapping.\nConfident stakeholder management across business and technology.\nPractical experience across Waterfall, Agile, and Scrum frameworks.\nStrong consulting skills and client-facing engagement experience data-driven project experience\nCross-industry functional knowledge\nFull delivery lifecycle experience: elicitation, design, build, testing, business change, operational support\nFamiliarity with AI and machine learning concepts (e.g. supervised vs unsupervised learning, prediction vs classification, model drift, basic evaluation metrics).\nComfortable working with requirements / modelling tools (BPMN, UML, user story tools, backlog management)\nExperience eliciting and documenting data privacy, security and regulatory requirements\nAbility to identify where AI use intersects with regulation, policy and data governance standards\nUnderstanding of access controls, data minimisation, and appropriate use of data in AI systems\nAbility to lead analysis across complex, cross functional initiatives, especially where AI affects multiple processes and teams\nStrong stakeholder management - able to bridge business, data, architecture and engineering worlds\nComfortable challenging assumptions about AI (“shiny object syndrome”) and focusing on value, feasibility and risk\nFurther Info\n“Good-to-have” skills:\nBA/SCRUM/PM qualifications\nMDM, data governance, data modelling exposure\nTools: JIRA, Confluence, etc.\nUnderstanding of GenAI / LLM capabilities and limitations (hallucinations, prompt quality, data privacy, IP risks).\nExperience working on projects that use AI, ML or advanced analytics - ideally from discovery through to adoption.\nExperience collaborating around BI/analytics tools (Power BI, Tableau, etc.)\nExposure to AI platforms (e.g. Azure OpenAI / other LLM services, data science environments, MLOps platforms) - as a partner/user rather than a builder\nAdditional interest include:\nSecurity Clearence: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance.\nTo obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.\nThroughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.\nSome posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.\nHybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.\nIf you are successfully offered this position, you will go through a series of pre-employment checks, including identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service)\nWhat we’ll offer you\nYou will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.\nYou will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.\nWhy we’re different\nAt Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that’s as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too.\nCapgemini 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. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. 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