Associate Director, Commercial AI Product Owner
Core
Lead the transformation of commercial business processes into AI-understandable forms by owning the unstructured content and relationships in the next-generation knowledge and context layer to make AI more grounded, accurate, and context-aware for commercial decision-making.
Role type
Senior IC Associate Director, Commercial AI Product Owner (Context Engineering & ML Ops)
Builds
Enterprise knowledge graphs, context layers, and AI product capabilities for commercial teams
Domain
Pharmaceutical commercial analytics and AI
Deliverable
production ML models
Required skills
Context engineering, graph databases (Neo4j, Amazon Neptune), enterprise knowledge graphs, semantic models, ontologies, LLMs, RAG, prompt engineering, sub-agent orchestration, end-to-end ML algorithms (tree-based, MMM), AI output evaluation frameworks (golden Q&A), AI governance in regulated environments
Preferred skills
Pharmaceutical data knowledge (claims, APLD), commercial tools (Veeva, multi-touch attribution), UX research, offshore/vendor team management
Technologies
Neo4j, Amazon Neptune, Jira
Responsibilities
Translate product vision into business technical requirements and milestones; design and manage the knowledge graph context layer; implement ML frameworks and monitor performance; build and maintain golden Q&A evaluation frameworks; define UAT test cases and resolve context-layer defects; collaborate with offshore teams and governance partners
Seniority
Senior, hands-on IC with leadership responsibilities
