Associate Director, Commercial AI and Advanced Analytics

Role: Associate Director, Commercial AI and Advanced Analytics, responsible for developing and operationalizing advanced marketing measurement and decision intelligence models across BMS brands and therapeutic areas. Responsibilities include leading end-to-end development of Marketing Mix models, causal analyses, and optimization techniques to guide brand planning, investment, and performance evaluation. The role requires translating complex modeling outputs into actionable insights for marketing, brand, omnichannel, and finance teams, ensuring clear communication and stakeholder alignment. Key tasks involve designing scalable MMx pipelines using Bayesian and other advanced methods, supporting continuous insights delivery through agentic and always-on analytics, and maintaining compliance with data privacy and AI governance standards. Qualifications: Minimum 5 years in pharma commercial analytics with expertise in marketing mix modeling, causal inference, and advanced ML techniques, supported by an advanced degree in a quantitative field. Technical skills include proficiency in Python/R, SQL, cloud platforms (e.g., Snowflake, Databricks), and experience with large datasets, MLOps, and model lifecycle management. High-value biopharma specifics include focus on pharma data types (claims, specialty pharmacy, digital engagement), supporting brand performance, with the role operating in a highly regulated environment. The position involves close collaboration with cross-functional teams and aligns with enterprise analytics frameworks. Work setup is flexible, with a focus on execution and stakeholder partnership.