Role Summary The AI Business Analyst (AI BA) bridges business stakeholders and technical teams to identify, define, and deliver AI/ML and generative AI solutions that create measurable business value. This role translates business problems into clear requirements, supports data and model readiness, helps manage delivery from discovery through adoption, and ensures solutions meet governance, risk, and compliance expectations.

Key Responsibilities:

• Partner with stakeholders to understand objectives, pain points, and decision processes; translate into AI use cases and user stories.
• Facilitate discovery workshops; document current-state processes, target outcomes, and measurable KPIs/OKRs.
• Define functional and non-functional requirements for AI products (accuracy, latency, explainability, human-in-the-loop, monitoring, and auditability).
• Collaborate with data engineering and analytics to identify data sources, data quality needs, labeling requirements, and feature definitions.
• Support model lifecycle planning with product/ML teams (training approach, evaluation metrics, drift monitoring, retraining triggers).
• Draft and maintain documentation: business requirements, process flows, acceptance criteria, test cases, and release notes.
• Coordinate UAT and operational readiness; validate outputs with SMEs and ensure adoption plans are in place (training, comms, support).
• Contribute to AI governance activities: risk assessments, privacy and security reviews, model documentation, and compliance alignment.
• Track delivery progress, dependencies, and risks; communicate status and facilitate decision-making.
• Measure post-launch performance and benefits realization; identify enhancements and new opportunities.