Business Analyst

Purpose of the Role:

As a Senior Business Analyst in our Data & AI Consulting Practice, you will help clients turn complex business needs, policies and controls into practical AI-enabled capabilities. Drawing on strong business analysis and consulting experience, ideally in a regulated setting, you will work across business and technology teams to shape Generative AI and agent-based solutions that are useful, explainable and subject to appropriate human oversight.

Location: London, Hybrid. 50% in London office

Key Tasks:

• Lead business analysis across discovery, design, delivery, testing and adoption within complex programmes and multidisciplinary product teams.
• Elicit, prioritise and document requirements, processes, use cases, user stories and acceptance criteria, linking them to measurable business outcomes.
• Facilitate senior stakeholders and subject-matter experts to clarify objectives, challenge assumptions and define current and future ways of working.
• Design agent-based journeys that convert complex activities into clear, testable steps, including prompts, events, measures and points of human involvement.
• Translate policy, risk and governance expectations into delivery requirements, including safeguards, review gates, confidence limits, exceptions, escalation and fall-back arrangements.
• Define and support assurance for fairness, explainability, bias and potential harm, including ongoing monitoring of AI behaviour.
• Manage risks, issues, assumptions and dependencies, while supporting solution validation, service transition and benefits realisation.
• Build trusted client relationships and contribute to the wider practice through collaboration, knowledge sharing, mentoring and proposition development.

Requirements

Essential Skills and Experience:

• Typically 5–7 years’ business analysis experience across complex change initiatives, covering requirements, process modelling, delivery and adoption.
• Strong facilitation and stakeholder-management skills, with the confidence to challenge assumptions and communicate across business, policy, risk, data and technology audiences.
• Experience working with product managers and multidisciplinary delivery teams to shape Data & AI use cases and translate them into clear, testable outcomes.
• Practical experience shaping or implementing agent-based AI, including prompts, tool use, human oversight, assurance and exception handling.
• Understanding of responsible AI and the ability to convert governance, security, privacy, ethics, fairness and risk expectations into implementable controls and requirements.
• Strong business acumen, analytical judgement and adaptability, with an interest in evolving Generative AI, Agentic AI, data and analytics technologies.