Responsibilities

• Commercial Data Science Strategy & Leadership
• Analytics Strategy: Define and drive the strategic analytics roadmap for scalable targeting, optimization, and measurement analytical solutions across the entire commercial lifecycle (launch, growth, and mature brands).
• High-Impact Capabilities: Lead the design and deployment of commercial analytics solutions, such as Next Best Action (NBA) engines, dynamic HCP/patient segmentation, marketing mix modeling (MMM), targeting, field sizing, and omnichannel campaign effectiveness.
• Analytical Product Leadership: Direct long-term analytical product investments and balance cross-portfolio trade-offs to ensure analytical tools directly drive commercial growth and brand performance.
• Analytics Execution & Operational Excellence
• In-House Model & Capability Building: Direct the development and deployment of advanced analytical methodologies, partnering across the organization to ensure capabilities are tailored directly to business requirements and commercial workflows. Maximize the embedment of AI capabilities into analytics.
• Scalable Business Deployment: Design and scale analytics solutions that support omnichannel engagement, customer segmentation, resource optimization, campaign measurement, field effectiveness, medical engagement, and access strategy.
• Rigorous Project Delivery: Apply strong project management and operational frameworks to manage a complex portfolio of solutions, ensuring on-time, high-impact delivery across multiple priorities.
• Measurement: Build measurement frameworks for analytics and AI solutions, including success metrics, test-and-learn design, adoption tracking, performance monitoring, and outcome measurement to quantify business, scientific, operational, and patient impact.
• Change Management & Enablement: Drive organization-wide adoption, training, and operational integration of the product operating model so teams actively embed capabilities into their strategic planning and execution.

Requirements

• Pharma Commercial Analytics/Data Science: Minimum 14+ years of progressive leadership experience in pharmaceutical or national healthcare payer commercial, medical and/or access analytics, marketing science, or data science. Deep domain knowledge of the commercial pharmaceutical analytics lifecycle is required.
• Education: Bachelor’s degree in a quantitative, scientific, or analytical discipline (e.g., Data Science, Statistics, Marketing Analytics, Business Analytics, Economics, Engineering, or Life Sciences). Advanced degree (Master’s or Ph.D.) preferred.
• Hands-On Analytical Product Expertise: Proven track record in building, operationalizing, and measuring commercial analytics capabilities at scale in healthcare.
• Domain Expertise: Experience with modern data and AI ecosystems, including platforms such as Databricks, Dataiku, Snowflake, Collibra, Ataccama, Immuta, Reltio, Power BI, and GenAI/AI-ML technologies.
• Governance: Strong understanding of product management standards, governance, funding models, operating models, adoption, and value realization for enterprise data products.
• Project Management & Operational Excellence: Proven experience leading enterprise data and analytical product portfolios, setting roadmaps, prioritizing investments, and translating strategy into measurable outcomes.
• Executive Communication: Outstanding ability to translate complex methodologies and quantitative models into clear, actionable business insights for executive leadership.

Benefits

• #LI-NN1