Associate Director, Commercial AI Product Owner

What you'll do

• Serve as the product owner for the Agentic MMx Platform, defining its strategy, vision, and roadmap.
• Lead cross-functional pods of engineers and data scientists to architect and maintain scalable analytics solutions.
• Develop and deploy autonomous and semi-autonomous analytics agents using multi-agent frameworks for predictive insights.
• Manage the full AI product lifecycle, including proof-of-concept, pilot rollouts, and continuous optimization.
• Standardize data pipelines, feature stores, and semantic layers to accelerate enterprise-wide insight generation.
• Establish and enforce AI governance standards for safety, security, privacy, and ethical compliance.
• Integrate decision science outputs into CRM systems and omnichannel workflows via APIs and embedded dashboards.
• Monitor model health, user adoption, and data drift through automated governance dashboards.

What we're looking for

• Advanced degree in Data Science, Statistics, Computer Science, Econometrics, or a related quantitative field (preferred).
• Minimum 5 years of hands-on experience in pharma commercial analytics or decision science.
• Proficiency with causal inference and incrementality tools including geo-experiments, matched markets, synthetic controls, and uplift modeling.
• Expertise in Bayesian/hierarchical MMx, adstock/distributed lag, and saturation/response curve modeling within automated pipelines.
• Proven experience launching and scaling agentic AI solutions including multi-agent systems, LLMs, RAG, and real-time architectures.
• Extensive knowledge of pharmaceutical data including claims, APLD, specialty pharmacy, digital signals, and promotional data.
• Mastery of programming and data science tools including Python, R, scikit-learn, PyTorch, and cloud platforms like Databricks or Snowflake.
• Strong foundation in AI governance, including risk management, security, privacy, and model monitoring in regulated environments.