Executive Director, Targeting & Analytics Optimization

Roche

South San Francisco (CA)

On-site

USD 237,000 - 440,000

Full time

14 days+

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Job summary

Genentech, a Roche subsidiary, is seeking an Executive Director of Targeting, Optimization, & Measurement to lead scalable analytics across commercial functions in South San Francisco. The role focuses on strategic analytics, NBA engines, segmentation, MMM, and measurement for growth.

The ideal candidate has 14+ years in pharma analytics, strong governance and product leadership, and excels at translating complex models into actionable executive insights, with a track record of delivering

Qualifications

Minimum 14+ years of progressive leadership experience in pharmaceutical or national healthcare payer analytics, medical and/or access analytics, marketing science, or data science.
Bachelor’s degree in a quantitative, scientific, or analytical discipline; advanced degree preferred.
Hands-on track record in building, operationalizing, and measuring analytics capabilities at scale in healthcare.
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 product management standards, governance, funding models, operating models, adoption, and value realization for enterprise data products.
Project Management & Operational Excellence: leading enterprise data and analytical product portfolios with roadmaps and investments.
Executive Communication: translating complex models into clear, actionable business insights for executives.

Responsibilities

Analytics Strategy: Define and drive the strategic analytics roadmap for scalable targeting, optimization, and measurement solutions across the commercial lifecycle.
High-Impact Capabilities: Lead design and deployment of NBA engines, segmentation, MMM, targeting, field sizing, and omnichannel effectiveness.
Analytical Product Leadership: Direct long-term analytical investments to drive growth and brand performance.
In-House Model & Capability Building: Develop analytics capabilities and embed AI into analytics.
Scalable Business Deployment: Design analytics solutions for omnichannel engagement, segmentation, and campaign measurement.
Rigorous Project Delivery: Manage a portfolio to ensure on-time, high-impact delivery.
Measurement: Build KPIs and test-and-learn designs to quantify impact.
Change Management & Enablement: Drive adoption and integration of the product operating model.
Impact Measurement: Establish KPIs to measure campaign and field effectiveness.
Team Development: Build and retain a high-performing pharma analytics team.
Commercial Integration: Foster an agile, applied analytics culture.