Senior Business Analyst (Data & AI)

Methods; City of Westminster; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

LinkedIn Learning access

Management development programme

Pension salary exchange

Private medical insurance

Life assurance (4x base)

Job summary

Methods is seeking a Senior Business Analyst to translate complex business needs into practical AI-enabled capabilities. 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.

This role involves leading discovery, design, delivery and adoption in regulated programmes, translating governance into actionable requirements and driving fairness, monitoring and risk management while

Qualifications

• 5–7 years of business analysis experience across complex change initiatives.
• Experience in regulated environments or high governance contexts.
• Experience shaping AI use cases and agent-based workflows.
• Ability to translate governance, security, privacy, ethics and risk into implementable requirements.
• Strong stakeholder facilitation and cross-functional collaboration.

Responsibilities

• 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.
• Facilitate senior stakeholders and SMEs to clarify objectives and define future ways of working.
• Design agent-based journeys with prompts, events, measures and human oversight points.
• Translate policy and governance expectations into delivery requirements with safeguards and escalation.
• Define assurance for fairness, explainability, bias and ongoing AI monitoring.
• Manage risks, issues, assumptions and dependencies across projects.
• Build trusted client relationships and contribute to the practice through mentoring and proposition development.

Skills

Business analysis

Stakeholder management

Facilitation

AI/Generative AI experience

Governance & risk understanding

Education

Relevant degree or equivalent practical experience

Tools

Microsoft Co-pilot

Microsoft Fabric

Cloud/ML technologies

Job description

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.,

• 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.

  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.

• 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
• 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)

Capabilities hybrid