Senior Business Analyst, AI

About the role

The AI / Agentic Product Owner is responsible for post-release ownership and continuous optimization of agentic AI products. This role ensures that deployed AI solutions deliver ongoing business value through effective backlog management, prioritization, and cross-functional coordination. The Agentic Product Owner serves as the primary decision-maker for live AI products, translating feedback, performance signals, and business needs into prioritized work. This role partners closely with AI Enablement, AI Trainers, engineering, and business stakeholders to continuously refine agent behavior, improve outcomes, and scale AI capabilities. This role also requires a foundational understanding of generative AI concepts (e.g., LLMs, RAG, prompt behavior) to effectively manage AI-driven backlogs and product decisions.

Responsibilities

Own Post-Release Product Lifecycle

• Own and manage the post-release product backlog for agentic AI solutions
• Continuously evaluate product performance and identify improvement opportunities
• Ensure AI products evolve in alignment with business objectives and user needs
• Drive ongoing optimization of AI capabilities after launch

Backlog Management and Prioritization

• Intake and triage feedback, bugs, and enhancement requests from stakeholders
• Define, prioritize, and maintain a clear, actionable backlog
• Balance competing priorities across defect resolution, AI performance improvements, and new features
• Lead release planning and prioritization decisions for live AI products
• Translate post-release feedback, usage patterns, defect trends, and business needs into prioritized backlog items
• Make backlog trade-off decisions across multiple live agentic AI products, balancing urgency, business value, user impact, and delivery capacity

Cross-Functional Coordination

• Act as the central point of coordination across business stakeholders, engineering and QA teams, AI Enablement, and AI Trainers
• Translate post-release feedback, business needs, and operational improvement opportunities into clear product requirements, user stories, and acceptance criteria
• Ensure alignment on priorities, timelines, and expected outcomes