AI Business Analyst

About the role

The AI Business Analyst will act as the bridge between business, data and technology teams for a Southampton‑based client. You will identify and shape opportunities where artificial intelligence, generative AI, intelligent automation and machine learning can deliver measurable business value. The role sits within a growing tech function and contributes to AI‑enabled transformation across the organisation.

Key responsibilities

• Collaborate with business stakeholders to discover AI‑enabled use cases that improve processes, decision‑making and operational efficiency.
• Facilitate workshops, discovery sessions and interviews to capture business challenges and translate them into functional and non‑functional requirements.
• Develop business cases, assess feasibility, estimate ROI and prioritise AI initiatives based on value, risk and readiness.
• Lead requirements gathering, produce user stories, process maps, functional specifications and define acceptance criteria.
• Work closely with technology teams, data specialists and third‑party vendors to ensure accurate solution design and delivery.
• Evaluate data suitability, define data flows, governance standards and support data preparation for AI projects.
• Contribute to options analysis and assist in selecting AI platforms, technologies and vendor solutions.

Required profile

• Proven experience as a Business Analyst working on AI, analytics or automation projects.
• Strong ability to engage with senior stakeholders and translate business needs into clear technical requirements.
• Solid understanding of AI concepts such as generative AI, machine learning and intelligent automation.
• Experience developing business cases, ROI calculations and prioritisation frameworks.
• Excellent analytical and problem‑solving skills with a focus on delivering measurable outcomes.

Required skills

• Knowledge of AI/ML concepts and their application in business contexts.
• Familiarity with data governance, data quality assessment and data preparation processes.
• Experience working with cross‑functional teams including data scientists, engineers and vendors.