Methods is a UK public-sector digital transformation consultancy focused on helping government departments and agencies improve public services. Drawing on 28 years of experience, the company combines advisory work, analytics, digital transformation, and staffing to address operational challenges and keep services aligned with citizen needs. Its work includes moving organisations away from legacy infrastructure toward platform-based operating models, with an emphasis on social impact and more efficient public-sector delivery.
Senior Business Analyst, Data and AI
Shape responsible generative and agent-based AI solutions for consulting clients, turning business, policy, and governance needs into testable capabilities.
Description
- Lead business analysis from discovery through adoption on complex programmes with multidisciplinary product teams.
- Gather and prioritise requirements, processes, use cases, user stories, and acceptance criteria tied to measurable outcomes.
- Work with senior stakeholders and subject-matter experts to clarify goals, test assumptions, and define current and future ways of working.
- Map agent-based journeys into testable steps, prompts, events, measures, and points of human oversight.
- Turn policy, risk, and governance expectations into delivery requirements covering safeguards, review gates, confidence limits, exceptions, escalation, and fallback.
- Set assurance approaches for fairness, explainability, bias, and potential harm, and support ongoing monitoring of AI behaviour.
- Track risks, issues, assumptions, and dependencies.
- Help validate solutions, transition services, and realise benefits.
- Develop trusted relationships with clients.
- Strengthen the wider practice through collaboration, knowledge sharing, mentoring, and proposition development.
Requirements
- Typically 5–7 years of business analysis experience on complex change initiatives, including requirements, process modelling, delivery, and adoption.
- Strong facilitation and stakeholder management skills.
- Able to question assumptions and communicate with business, policy, risk, data, and technology audiences.
- Experience working with product managers and multidisciplinary delivery teams to shape Data and AI use cases and define 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.
- Able to translate governance, security, privacy, ethics, fairness, and risk expectations into implementable controls and requirements.
- Strong business judgement, analytical skills, and adaptability.
- Interest in generative AI, agentic AI, data, and analytics technologies.
- Desirable: experience in financial services, regulation, government, or another highly governed environment.
- Desirable: experience defining fairness, explainability, bias, impact assessment, or model assurance requirements for AI-enabled services.
- Desirable: background in management consulting, business architecture, service design, or service transition.
- Desirable: working knowledge of generative AI, Microsoft Copilot, Microsoft Fabric, and relevant cloud, data, or machine learning technologies.
- Desirable: relevant professional qualification, degree, or equivalent practical experience.
- Must hold or be willing to undergo Security Clearance.
- Must complete Baseline Personnel Security Standard checks during onboarding and meet the associated criteria.
Benefits
- Autonomy to build skills and experience.
- Project work focused on making a difference in society.
- Supportive, inspiring, and thought-provoking leadership.
- A collaborative and supportive working environment.
- Access to LinkedIn Learning.
- Management development programme and training.
- Confidential employee assistance programme available 24/7.
- Social events, including Breakfast Tuesdays, Thirsty Thursdays, and monthly Pizza Thursdays.
- Commitment to charitable causes.
- 25 days of annual leave.
- Pension Salary Exchange Scheme with a 4% employer contribution and 5% employee contribution.
- Life assurance worth four times base salary.
- Private medical insurance for employees, spouses, and dependants, with no employee contribution.
- Worldwide travel insurance for employees, spouses, and dependants, with no employee contribution.