Senior Business Analyst (Data & Artificial Intelligence)

Methods; Greater London; Sur place; GBP 75 000 - 110 000; Plein temps

Avantages offerts par ce poste

Autonomy to develop and grow your навы

LinkedIn Learning access

Pension Salary Exchange Scheme

Private Medical Insurance

Life Assurance 4x base salary

Wellness program

Discretionary company bonus

Résumé du poste

Methods, a Data & AI consulting practice, seeks a Senior Business Analyst to turn complex business needs into practical AI-enabled capabilities. You will lead across discovery, design, delivery, testing and adoption within complex programmes and multidisciplinary product teams.

You will elicit requirements, document use cases and acceptance criteria, and translate policy, risk and governance expectations into deliverable controls.

Qualifications

• 5–7 years’ business analysis experience across complex change initiatives.
• Strong business acumen and analytical judgement.
• Experience shaping or implementing agent-based AI.
• Understanding of responsible AI and governance.

Responsabilités

• Translate business needs into AI-enabled capabilities.
• Lead analysis across discovery, design, delivery, testing and adoption within complex programmes and multidisciplinary product teams.
• Facilitate senior stakeholders and subject-matter experts to clarify objectives and define future ways of working.
• Design agent-based journeys with prompts, events, measurements and human-involvement points.
• Translate governance and risk expectations into actionable requirements and controls.
• Build trusted client relationships and contribute to the wider practice through collaboration and mentoring.

Connaissances

Business analysis

Stakeholder management

Facilitation

Generative AI

Agent-based AI

Governance & risk awareness

Requirement elicitation

Project governance

Formation

Relevant qualification or degree

Description du poste

• 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
• 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 in the interview

Benefits

• 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, Pizza Thursday monthly, weekly social in the office and commitment to charitable causes
• Time off 25 days a year
• Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution
• Discretionary Company Bonus based on company and individual performance
• 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)
• Benefits Platform offering various retail and leisure discounts

Typically 5–7 years’ business analysis experience across complex change initiatives, covering requirements, process modelling, delivery and adoptionStrong business acumen, analytical judgement and adaptability, with an interest in evolving Generative AI, Agentic AI, data and analytics technologiesStrong facilitation and stakeholder-management skills, with the confidence to challenge assumptions and communicate across business, policy, risk, data and technology audiencesPractical experience shaping or implementing agent-based AI, including prompts, tool use, human oversight, assurance and exception handlingUnderstanding of responsible AI and the ability to convert governance, security, privacy, ethics, fairness and risk expectations into implementable controls and requirementsExperience working with product managers and multidisciplinary delivery teams to shape Data & AI use cases and translate them into clear, testable outcomesA relevant professional qualification, degree or equivalent practical experienceWorking knowledge of Generative AI, Microsoft Co-pilot, Microsoft Fabric and relevant cloud, data or machine learning technologiesBackground in management consulting, business architecture, service design or service transitionExperience defining fairness, explainability, bias, impact-assessment or model-assurance requirements for AI-enabled servicesExperience in financial services, regulation, government or another highly governed environment