Senior Business Analyst (Data & AI)

b Overview /b p In this role you will translate complex business needs into practical AI-enabled capabilities within a Data AI Consulting Practice. You will work across business and tech teams to shape Generative AI and agent-based solutions that are explainable and properly overseen. You’ll lead analysis across discovery to adoption, define requirements and user stories, and ensure governance, fairness and monitoring of AI behavior. This position offers client-facing impact, collaboration with cross-functional teams, and opportunities to evolve AI-powered delivery. /p b Pay / Benefits /b ul li Autonomy to develop and grow skills /li li Exciting project work making a societal difference /li li Strong leadership and collaborative environment /li li LinkedIn Learning access and management development /li li Wellness 24/7 confidential employee assistance /li li 25 days holiday and pension with employer contribution /li /ul b Responsibilities /b ul li Lead business analysis across discovery, design, delivery, testing and adoption within complex programmes and multidisciplinary product teams /li li Elicit and document requirements, processes, use cases, user stories and acceptance criteria linked to measurable outcomes /li li Facilitate senior stakeholders and experts to clarify objectives and future ways of working /li li Design agent-based journeys with prompts, events, measures and human involvement points /li li Translate policy, risk and governance expectations into delivery requirements including safeguards and escalation /li li Define assurance for fairness, explainability, bias and ongoing AI monitoring /li li Manage risks, issues, assumptions and dependencies across delivery, validation and benefits realization /li li Build trusted client relationships and contribute to the practice through knowledge sharing, mentoring and proposition development /li /ul b Key requirements /b ul li 5–7 years’ business analysis experience in complex change initiatives /li li Strong facilitation and stakeholder-management skills across business, policy, risk, data and technology /li li Experience shaping Data AI use cases with product managers and delivery teams /li li Practical experience with agent-based AI, prompts, tool use, supervision and exception handling /li li Understanding of responsible AI and translating governance, security, privacy, ethics and risk into implementable controls /li /ul ul li facilitation /li li stakeholder management /li li communication across diverse audiences /li li agent-based AI design /li li prompts design and governance /li li explainability and bias mitigation /li /ul