US Decision Science & AI Innovation Lead

GlaxoSmithKline

United States

On-site

USD 187,000 - 311,000

Full time

5 days ago
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Job summary

GlaxoSmithKline in the United States seeks a Senior Director of US Decision Science & AI Innovation to define analytic methods guiding commercial decisions across US businesses. The role combines hands-on analytics with strategic influence, shaping enterprise capabilities and AI governance.

You will lead a portfolio of methods, collaborate with brand teams, Insights & Analytics, data engineering and Digital & Technology to drive adoption and measurable impact on marketing and portfolio

Qualifications

  • Bachelor's degree; Masters and PhD preferred.
  • 12+ years of experience with hands on modeling.
  • Experience deploying predictive analytics, ML and/or information retrieval at scale.
  • End-to-end model exploration, development, deployment and management.
  • Experience developing insights and storylines through analysis and modeling.
  • Depth in commercial pharmaceutical methods - MMM, NBA, patient-level modeling or causal measurement.

Responsibilities

  • Own the certified method portfolio for marketing mix and investment optimization.
  • Own deployment of methods through enterprise capabilities and ensure adoption.
  • Operate as a player-coach: design, review and build with hands-on involvement.
  • Set and enforce method standards including validation, versioning, and reproducibility.
  • Lead the applied AI agenda across agentic AI, generative AI and synthetic data.
  • Ensure methods meet Responsible AI, privacy, data-use requirements and governance.

Skills

AI frameworks
Deep learning
Machine learning
GenAI tooling
Model governance

Education

Bachelor's degree
Master's degree
PhD preferred

Tools

IQVIA
Komodo
Symphony
Veeva

Job description

GlaxoSmithKline in the United States seeks a Senior Director of US Decision Science & AI Innovation to define analytic methods guiding commercial decisions across US businesses. The role combines hands-on analytics with strategic influence, shaping enterprise capabilities and AI governance.

You will lead a portfolio of methods, collaborate with brand teams, Insights & Analytics, data engineering and Digital & Technology to drive adoption and measurable impact on marketing and portfolio

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