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Strong global brand and metro location balanced by seniority and niche MMx/agentic AI specialization.
High due to pharma-specific MMx, claims/APLD data knowledge, and commercialization analytics expertise.
Explicit 10+ years requirement, pharmaceutical MMx expertise, regulated AI governance and mandatory technical stack.
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Lead the design, building, and validation of Marketing Mix Models (MMx) for the US pharmaceutical market, including scenario simulations and budget optimization.
Develop, deploy, and operationalize AI-driven decision systems integrating advanced analytics and agentic AI frameworks within commercial workflows.
Translate complex analytics into business narratives and drive model trust and adoption across commercial and analytic teams, while mentoring junior analysts and establishing modeling standards.
10+ years experience in pharmaceutical commercial or advanced analytics with significant experience driving MMx projects in the US market.
Bachelor's degree required; advanced degree preferred in life sciences, applied sciences, computer science, mathematics, data science, or engineering.
Proven skills in causal inference, Bayesian MMx, agentic AI, and extensive programming experience with Python/R and ML frameworks.
Experience with pharmaceutical data sources (claims, APLD, specialty pharmacy, digital), cloud analytics platforms (Databricks, Snowflake, Spark), and regulatory knowledge including HIPAA, GDPR/CCPA.
Deep expertise in pharmaceutical commercial analytics with ability to personally deliver and operationalize complex MMx and AI models for US commercialization.
Experienced in embedding AI and analytics platforms into enterprise commercial planning with broad stakeholder engagement and business alignment.
Operational leader skilled in mentoring, standardizing modeling approaches, and driving analytics adoption in regulated environments.