AI Business Analyst

Salary: £39,000 - 70,500 per year

Requirements:

• At least 5 years commercial experience as a Business Analyst delivering technology and business change projects.
• Previous experience working on AI and digital transformation projects.
• Proven experience delivering digital transformation, system implementation, or business improvement programmes.
• Strong understanding of Business Analysis methodologies, tools, and best practice.
• Good understanding of Artificial Intelligence concepts, including Generative AI, Machine Learning, intelligent automation, and data-driven decision making.
• Strong data literacy with experience analysing data quality, structures, governance, and reporting requirements.
• Experience working within a regulated environment such as Legal, Financial Services, Professional Services, or similar.
• Excellent stakeholder management skills with experience engaging senior business and technical stakeholders.
• Strong analytical, problem-solving, and decision-making abilities.

Responsibilities:

• Work between business, data, and technology teams to identify opportunities where Artificial Intelligence can deliver measurable business value.
• Partner with business stakeholders, technology teams, data specialists, and third-party vendors to shape AI solutions from initial concept through to implementation and business adoption.
• Identify opportunities where AI, automation, and analytics can improve business processes, decision making, and operational efficiency.
• Facilitate workshops, discovery sessions, and stakeholder interviews to understand business challenges and define AI-enabled opportunities.
• Translate business needs into clear functional and non-functional requirements.
• Define AI-specific requirements including data inputs, expected outputs, controls, governance, and appropriate levels of human oversight.
• Develop business cases for AI initiatives, assessing feasibility, business value, costs, benefits, and expected return on investment.
• Support prioritisation of AI initiatives based on business value, complexity, risk, and organisational readiness.
• Lead requirements gathering activities throughout the project lifecycle.
• Produce business requirements, user stories, process maps, functional specifications, and supporting documentation.
• Define acceptance criteria and maintain traceability between business requirements, solution design, testing, and delivered outcomes.
• Work with internal technology teams, data specialists, and third-party suppliers to ensure business requirements are accurately interpreted and delivered.
• Assess the impact of AI-enabled solutions on business processes, operating models, governance, and user responsibilities.
• Support options analysis and contribute to the evaluation and selection of AI platforms, technologies, and vendor solutions.
• Assess whether business data is suitable to support AI initiatives, considering data availability, quality, structure, and completeness.
• Work with technical teams to define data requirements, data flows, and governance standards.
• Support data preparation, validation, and quality assurance activities prior to AI implementation.
• Ensure AI initiatives align with data protection legislation, information security policies, privacy requirements, and wider regulatory obligations.
• Promote best practice around the responsible and effective use of business data within AI solutions.
• Build strong relationships with stakeholders across business functions, technology, and data.
• Lead workshops, working groups, and decision-making sessions to drive consensus.
• Produce clear documentation and reporting suitable for both technical and non-technical audiences, including senior leadership.
• Support business change activities including impact assessments, communications planning, and user adoption of AI-enabled processes.
• Produce test strategies and test plans aligned to business requirements.
• Lead User Acceptance Testing (UAT), including creation of test scenarios, execution support, and defect management.
• Validate AI-generated outputs from a business perspective, ensuring they are accurate.
• Ensure complete traceability between requirements, testing, and delivered functionality.
• Support implementation activities and transition of solutions into Business-as-Usual operations.
• Identify and manage risks associated with AI initiatives.
• Support governance activities including documentation, approvals, audit requirements, and project controls.
• Ensure AI solutions comply with internal governance standards, information security policies, data protection legislation, and responsible AI principles.
• Contribute to the development of AI delivery standards, frameworks, and best practice.
• Share knowledge and provide guidance to junior Business Analysts and Subject Matter Experts involved in AI initiatives.
• Continuously identify opportunities to improve business processes and maximise value from AI technologies.

Technologies:

• AI
• Support
• Machine Learning
• Security

More:

We are supporting a Southampton client on a new opportunity for an experienced AI Business Analyst. You will join a growing tech function and play a key role in delivering AI-enabled business transformation across Generative AI, intelligent automation, analytics, and machine learning. We offer the opportunity to work closely with business stakeholders, technology teams, data specialists, and third-party vendors to shape solutions from initial concept through to implementation and adoption.

last updated 30 week of 2026