Senior Director, Patient Insights & Analytics

Roche•South San Francisco, CA
•$209,200 - $388,400•Hybrid

About The Position

At Genentech, the Senior Director, Patient Insights & Analytics serves as the strategic decision-support lead for patient engagement and portfolio strategies. The role connects pharmaceutical patient-journey expertise with advanced analytics, AI/ML methodologies, and scalable technology. The leader’s insights inform commercial strategies, optimize Next Best Action (NBA) frameworks, and measure the real-world impact of patient support programs. The position leads the modernization and digital transformation of the Patient Insights function, developing analytical capabilities and fostering patient-centric decision-making. It also oversees patient-journey analytics, NBA strategy and execution, impact and ROI measurement, data governance, and a high-performing team of analysts and insights leads. The role partners with Brand and Patient Experience teams to align analytics with business objectives and translate complex findings into executive narratives. The position is based in South San Francisco, California, with a hybrid schedule requiring three days per week on campus. Relocation benefits are not available. The expected salary range is $209,200 to $388,400 per year. A discretionary annual bonus may be available based on individual and company performance. The position qualifies for company benefits.

Requirements

  • Bachelor’s degree in Data Science, Statistics, Economics, Health Economics, Business Analytics, Life Sciences, or a related quantitative field.
  • 12 or more years of relevant experience in life sciences, pharmaceutical commercial analytics, decision support, or healthcare-focused management consulting.
  • At least 5 years of direct people-management experience leading and mentoring teams of data analysts, data scientists, or insights professionals.
  • Thorough understanding of specialty/pharmaceutical patient journeys, including diagnosis, treatment initiation, access and reimbursement hurdles, patient assistance programs, hub services, and adherence drivers.
  • Extensive hands-on and strategic experience using secondary healthcare datasets, such as longitudinal patient data, medical and pharmacy claims, EHR/EMR data, specialty pharmacy data, and patient-reported outcomes.
  • Demonstrated experience evolving analytics from traditional reporting to predictive and prescriptive analytics, including NBA models, machine-learning-driven patient journeys, and AI-driven insights tools.
  • Proven experience developing impact measurement models, experimental designs such as A/B testing and test-control matched pairs, and ROI attribution frameworks for patient engagement and commercial initiatives.
  • Familiarity with integrating patient insights across digital channels, CRM platforms, and customer touchpoints.

Responsibilities

  • Serve as the strategic decision-support lead for patient engagement and integrate actionable patient insights into commercial strategy, brand planning, and portfolio execution.
  • Lead the design, refinement, and quantification of patient journeys using large-scale healthcare datasets and traditional primary market research.
  • Modernize and digitally transform the Patient Insights function by building advanced analytical capabilities and integrating AI/ML methodologies, predictive modeling, and scalable analytics.
  • Oversee the development and optimization of Next Best Action analytics frameworks, delivering data-driven recommendations to improve patient experiences, support adherence, and maximize support program impact.
  • Establish analytical frameworks to quantify the reach, efficacy, business value, and ROI of patient engagement strategies and support initiatives across brands and portfolios.
  • Partner with Brand and Patient Experience teams to align analytics with business objectives and communicate complex findings through compelling executive narratives.
  • Direct, coach, and inspire analysts and insights leads, fostering continuous learning, innovation, technical excellence, and strategic partnership.
  • Champion data privacy, patient data governance, and regulatory and compliance standards across analytics frameworks, data science workflows, and patient support capabilities.

Benefits

  • A discretionary annual bonus may be available based on individual and company performance.
  • Company benefits are offered; specific benefits are not listed in the posting.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service