Associate Director, Commercial AI and Advanced Analytics- Oncology

Role: Associate Director, Commercial AI and Advanced Analytics, focusing on delivering advanced marketing measurement and decision intelligence across BMS brands and therapeutic areas, especially oncology. Responsibilities: lead end-to-end development of Marketing Mix models, causal analyses, and optimization techniques to inform brand strategy, budget allocation, and performance evaluation; design scalable analytical pipelines using Bayesian and non-linear modeling approaches; operationalize insights into agentic, always-on analytics tools, ensuring transparency and compliance; collaborate with cross-functional teams including Brand, Omnichannel, Field, and Finance; support adoption and integration of AI-enabled platforms. Requirements: advanced degree in Statistics, Data Science, or related field; minimum 5 years in pharma commercial analytics supporting brand planning and performance metrics; expertise in Marketing Mix Modeling, causal inference methods (geo-experiments, synthetic controls, uplift modeling); proficiency in Python/R, SQL, and cloud platforms (e.g., Databricks, Snowflake); experience with large pharma datasets (claims, digital engagement) and AI-enabled analytics is preferred. High-Value: focus on oncology, with responsibilities spanning model development, deployment, and stakeholder engagement in a regulated pharma environment. Work setup: likely hybrid or remote, with specific location details not provided.