Business Analyst – Central AI Capability (Commercial Operations

Role: Business Analyst – Central AI Capability (Commercial Operations Location: London, UK(Hybrid) Contract : 6-12+ contract Required Skills • Bachelor's or Master's degree in IT, Business Administration, Data, or related field • Relevant certifications: o CBAP / CCBA / PMI PBA o Agile certifications (Scrum, SAFe, Kanban) • Experience level aligned to JG 4 / JG 3 preferred (7+ years), with strong hands on delivery exposure Role Purpose The Business Analyst will be part of a central AI delivery team for Commercial Operations, acting as a shared capability across portfolios. The role focuses on: • Shaping AI use cases from problem statement to production • Enabling consistent intake, prioritisation, and value assessment • Bridging business demand with AI delivery, governance, and IT processes • Preventing AI initiatives from stalling at PoC stage Core Skills & Responsibilities A. AI Use Case & Value Analysis (Mandatory) • Partner with Commercial Operations teams to identify, frame, and prioritise AI use cases • Translate business problems into clear AI ready use cases, including: o Objectives and success criteria o Expected business value (efficiency, risk reduction, speed, quality) o Data inputs and constraints • Support value tracking and benefits realisation, from initial hypothesis to post deployment review • Ensure reuse of patterns, components, and learnings across portfolios B. Business Analysis & Delivery • Elicit and document lean, outcome driven requirements suitable for AI and data products • Map current state processes and identify automation and augmentation opportunities • Define acceptance criteria focused on business outcomes, not just technical completion • Support PoC to production transition by clarifying scope, risks, dependencies, and readiness • Act as end to end BA owner for multiple AI initiatives in parallel \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ C. Stakeholder & Governance Engagement • Lead discovery workshops and structured problem framing sessions • Act as a bridge between business, AI engineers, IT architecture, security, and governance • Support consistent engagement with demand management, risk, and compliance processes • Provide clear, concise updates to leadership on progress, value, and risks D. Tools & Ways of Working • Experience working in Agile, iterative delivery environments with experimentation cycles • Proficiency with: o JIRA, Confluence o Excel and SQL for analysis and validation o Power BI / Tableau for value and performance tracking • Familiarity with AI adjacent tooling and concepts (e.g. document automation, agents, NLP, LLMs) is a strong plus