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.

Desirable Skills and Experience:

• Experience in financial services, regulation, government or another highly governed environment.
• Experience defining fairness, explainability, bias, impact-assessment or model-assurance requirements for AI-enabled services.
• Background in management consulting, business architecture, service design or service transition.
• Working knowledge of Generative AI, Microsoft Co-pilot, Microsoft Fabric and relevant cloud, data or machine learning technologies.
• A relevant professional qualification, degree or equivalent practical experience.

This role will require you to have or be willing to go through Security Clearance. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview.

Benefits

By joining us you can expect

• Autonomy to develop and grow your skills and experience
• Be part of exciting project work that is making a difference in society
• Strong, inspiring and thought-provoking leadership
• A supportive and collaborative environment
  

As well as this, we offer:

• Development access to LinkedIn Learning, a management development programme and training
• Wellness 24/7 Confidential employee assistance programme
• Social - Breakfast Tuesdays, Thirsty Thursdays and Pizza on the last Thursday of each month as well as commitment to charitable causes
• Time off 25 days a year
• Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution
• Life Assurance of 4 times base salary
• Private Medical Insurance which is non-contributory (spouse and dependants included)
• Worldwide Travel Insurance which is non-contributory (spouse and dependants included)