AI Business Analyst

Key Responsibilities

• Individual contributor partner with Product Manager, Business Lead, AI Leads, and Data Lead to define AI use cases, including problem framing, success criteria, and measurable outcomes
• Translate business needs into AI-ready requirements, including: Input data expectations, Model outputs (predictions, insights, recommendations), User interaction patterns (e.g., workflows, prompts, dashboards)
• Act as the primary bridge between ?what?s needed? (business) and ?what?s possible? (technical) to ensure stakeholder alignment.
• Leads requirements refinement, including current/future?state analysis, requirements documentation, prioritization, feasibility alignment and stakeholder alignment.
• Owns User Acceptance Testing planning and execution.
• Partners with Testing team to ensure requirements are testable and the solution is ready for release.

Deliverables

• Update and maintain user stories and acceptance criteria in jira/ADO.
• Author formal User Requirements Specification (URS)/Functional Requirements Specification (FRS), when required
• Partners with testing teams to ensure requirements are clear, unambiguous, and testable.
• Develop User Acceptance Test (UAT) Plan, scenarios, and test cases aligned to approved requirements.
• Lead or contribute to data specifications, source-to-target mappings, and AI input/output definitions in partnership with Data and AI teams.
• Produce UAT test summary report supporting business acceptance and release readiness.
• Provide regular status updates covering progress, risks, issues, and dependencies.
• Document decisions, assumptions, and clarifications related to contracted scope.