This role requires translating business intent into precise system-level artefacts that AI agents and engineering teams can execute without interpretation gaps
Job Summary
This role requires translating business intent into precise system-level artefacts that AI agents and engineering teams can execute without interpretation gaps.
Candidates must possess deep insurance domain expertise across commercial lines, claims, or reinsurance to ensure regulatory intent is embedded as executable policy rules.
The position involves owning the full specification lifecycle from strategic discovery through behavioural sign-off while setting standards for AI-native delivery.
Matching Summary
This role requires translating business intent into precise system-level artefacts that AI agents and engineering teams can execute without interpretation gaps.
Skills & Requirements
Must-have
10-15 years Business Analysis experience
Deep insurance domain expertise
SQL proficiency for data interrogation
AI agent contract authoring
Systems modelling and state machines
GenAI tooling and prompt engineering
Nice-to-have
Experience mentoring BA/SA teams
Knowledge of SAFe or Scrum frameworks
Ability to work in-office culture
Strong stakeholder management skills
Key Requirements
10-15 years progressive experience in Business and Systems Analysis
Substantial portion of experience in insurance or regulated financial services
Expert-level systems modelling capabilities including ERDs and sequence diagrams
Independent SQL proficiency for enterprise data validation
Direct experience with AI-assisted delivery and GenAI tooling