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Pfizer

Director – Data Science, AI

Pfizer

Pfizer commercial analytics leader building AI accelerators and leading data science teams across international markets. Driving ML/LLM products, agentic decision-making, and measurable business impact.

Posted 8/24/2026full-timeCapelle aan den IJssel • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in leading cross-functional teams to develop and implement AI-driven products and analytics solutions, with a strong focus on delivering measurable business impact and optimizing resources through advanced machine learning techniques.

Highest-signal resume keywords
Product ManagementMachine Learning DevelopmentCross-Functional CollaborationData AnalyticsHealthcare Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonRAdvanced StatisticsMachine LearningData EngineeringAPIsCloud EnvironmentsMulti-Step ReasoningReinforcement LearningEvaluation Techniques
Soft Skills
Team LeadershipMentoringInfluencing DecisionsCommunicationCollaboration
Tools & Technologies
AI/ML PlatformsAgentic SystemsCommercial Analytics ToolsData ProductsAnalytical Workflows
Industry Keywords
Pharma MarketsHealthcare AnalyticsMarketing IntelligenceBudget OptimizationHCP/DTP Promotion Strategy

Tech Stack

Tools & technologies
CloudPython

About the role

Key responsibilities & impact
  • Build and lead a best-in-class team focused on AI accelerators within commercial analytics
  • Lead a team of up to 8 members
  • Manage in-market demand intake, prioritization, and delivery for anchor markets
  • Shape and drive Native AI CFC capabilities for international clusters and markets
  • Deliver data-science-driven insights and solutions across commercial analytics
  • Partner with senior functional leads to develop and implement models, insights, and data products supporting brands’ strategic priorities
  • Organize analytical processes and workflows
  • Mentor and develop managers and junior team members
  • Hire, build, and develop high-performing teams
  • Conceptualize, promote, and implement business insights
  • Apply advanced machine learning techniques to drive revenue and optimize resources
  • Build and lead enterprise teams developing end-to-end ML/AI solutions and applications at scale in the cloud
  • Conceptualize, document, and deploy complex analytical plans
  • Collaborate cross-functionally to enable agentic AI-led decision-making, accelerate business transformation, and deliver measurable business impact
  • Define what to build and why, ensuring accelerators deliver measurable business value across markets and use cases
  • Report to the International Business Aligned Data Science lead

Requirements

What you’ll need
  • Strong proven experience in Product Management / Product Ownership, preferably in data, analytics, or AI-driven products
  • Strong experience working with cross-functional teams (business + tech + data)
  • Proven track record of delivering complex, enterprise-grade platforms
  • Proficient in Python and/or R, with solid understanding of advanced statistics
  • Strong hands-on experience in ML/LLM/Agentic platform development and deployment
  • Knowledge of APIs, MCP, cloud environments, and data engineering workflows
  • Experience with agentic workflows, including multi-step reasoning, reinforcement, and evaluation
  • Proven ability to translate data insights into commercial recommendations
  • Understanding of marketing intelligence, third-party pharma data, media planning, and budget optimization
  • Knowledge of pharma markets, HCP/DTP promotion strategy, and compliance
  • Ability to partner with marketing, finance, and brand teams to influence decisions
  • Experience presenting to C-suite and senior leadership
  • Healthcare, pharma, or health payments analytics experience highly preferred
  • Commercial analytics, pharma, or healthcare experience highly preferred
  • Familiarity with AI/ML or GenAI/Agentic systems is a strong plus

Benefits

Comp & perks
  • Equal employment opportunity and disability inclusion commitments
  • Accessibility assistance for the website, application process, and interviewing
  • Up to 20% travel