Sr. Manager -US Commercialization Decision Intelligence & KDA Solutions

Design, build, validate, and operationalize advanced Marketing Mix Models (MMx) and econometric models to drive US pharmaceutical commercialization decisions.

Lead development and deployment of AI-driven decision systems and agentic AI frameworks to enhance commercial analytics and enable budget optimization.

Translate complex model outputs into actionable business insights and collaborate across teams to embed analytics into commercial planning processes.

At least 10 years of experience in pharmaceutical commercial analytics or advanced analytics, with proven track record in US MMx projects.

Bachelor’s degree required; advanced degree preferred in life/physical sciences, applied sciences (computer science, mathematics, data science), or engineering.

Proficiency in causal inference, Bayesian/hierarchical MMx, econometrics, AI/ML techniques, and operationalizing ML models using Python/R and ML frameworks (scikit-learn, PyTorch).

Experience with pharmaceutical data sources (claims, APLD, specialty pharmacy, promotional data), cloud analytics platforms (Databricks, Snowflake, Spark), and knowledge of regulatory standards such as HIPAA and GDPR.

Senior-level analytics professional with deep expertise in US pharmaceutical commercialization and Marketing Mix Modeling.

Experienced in launching and scaling AI/agentic AI solutions in commercial or decision science contexts, integrating AI platforms into enterprise workflows.

Strong capability to train and mentor analytics teams and establish modeling standards and reusable frameworks.