Associate Director, Commercial AI and Advanced Analytics

What you'll do

• Develop and execute end-to-end Marketing Mix (MMx) and Key Driver Analyses to support brand planning and budget optimization.
• Quantify incremental impact across various channels including sales force, digital media, and patient programs using advanced modeling techniques.
• Build scalable, automated MMx pipelines that are explainable and compliant with pharmaceutical regulations.
• Operationalize causal models into always-on analytics pipelines to provide continuous decision support for brand and field teams.
• Translate complex technical model outputs into clear, actionable business recommendations for marketing and finance partners.
• Define the Key Business Questions (KBQ) framework to bridge business intent with technical semantic layers.
• Partner with engineering and platform teams to integrate insights into AI-enabled tools and agentic workflows.
• Ensure all analytics products adhere to data privacy, AI governance, and model validation standards like HIPAA and GDPR.

What we're looking for

• Advanced degree in Statistics, Economics, Data Science, Operations Research, or a related quantitative field.
• Minimum 5 years of experience in pharmaceutical commercial analytics with ownership of MMx/MMM and causal analysis.
• Hands-on expertise in advanced Marketing Mix Modeling including Bayesian, hierarchical, adstock, and saturation modeling.
• Strong background in causal inference and incrementality measurement using geo-experiments or synthetic control methods.
• Proficiency in Python or R for statistical modeling and SQL for managing large pharmaceutical datasets.
• Experience with cloud analytics platforms like Databricks or Snowflake and production data pipelines.
• Ability to translate complex analytical results into actionable business narratives for non-technical stakeholders.
• Exposure to AI-enabled or automated analytics platforms (preferred).