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Strong employer brand but senior, niche pharma AI focus limits candidate pool.
Deep pharmaceutical data, MMx, and regulatory governance needs make cross-industry transfers difficult.
Explicit 10+ years, mandated pharma MMx and LLM operationalization imply high filtering and strict technical requirements.
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Design, build, and validate Marketing Mix Models including variable engineering, diagnostics, and ROI interpretation for US pharmaceutical markets.
Lead development and deployment of AI-driven decision systems, including predictive and agentic AI models, ensuring business alignment and model trust.
Train and mentor analytics teams, establish modeling standards, and partner with commercial teams to embed advanced analytics into planning processes.
Bachelor's degree required; advanced degree preferred in life/physical sciences, computer science, data science, engineering, or related fields.
10+ years of pharmaceutical commercial or advanced analytics experience with majority in Marketing Mix Modeling projects in the US market.
Proven experience operationalizing AI including large language models for commercial applications with deep knowledge of pharmaceutical data and cloud analytics platforms.
Strong programming skills in Python/R, experience with ML frameworks, MLOps, and compliance knowledge (HIPAA, GDPR/CCPA) in regulated environments.
Experienced senior analytics leader who personally builds and delivers complex Marketing Mix Models and advanced AI solutions in pharmaceutical commercialization.
Skilled in enabling multi-agent AI systems and embedding AI analytics platforms into enterprise commercial workflows with measurable adoption.
Experienced in stakeholder engagement, able to translate complex technical analytics into actionable business strategies within commercial and regulatory environments.