Senior Director, Patient Insights & Analytics

The Opportunity:

At Genentech, delivering transformative therapies goes hand-in-hand with creating seamless, deeply supportive patient experiences. As the Senior Director, Patient Insights & Analytics, you will serve as the strategic decision-support engine behind our patient engagement and portfolio strategies. Leading a high-performing team of analysts, you will bridge deep pharmaceutical patient journey expertise with cutting-edge analytics, AI/ML methodologies, and scalable technology. Your team's insights will directly shape commercial strategies, optimize Next Best Action (NBA) frameworks, and measure the real-world impact of our patient support programs.

If you are a visionary analytical leader who thrives at the intersection of data, patient care, and strategic influence, this role offers an unrivaled platform to transform how insights drive patient outcomes at scale.

Accountabilities

• Strategic Insight Leadership & Decision Support: Serve as the core strategic decision-support lead for patient engagement, driving the integration of actionable patient insights into commercial strategy, brand planning, and portfolio execution.
• Patient Journey & Advanced Analytics Ecosystem: Lead the end-to-end design, refinement, and modern quantification of patient journeys by synthesizing diverse, large-scale healthcare data sets (e.g., claims, EHR, specialty pharmacy, longitudinal patient data, PROs) alongside traditional primary market research.
• Capability Transformation: Spearhead the modernization and digital transformation of the Patient Insights function, building advanced analytical capabilities, integrating AI/ML-driven methodologies, predictive modeling, and scalable analytics to elevate patient-centric decision-making.
• Next Best Action (NBA) Strategy & Execution: Oversee the development and optimization of Next Best Action (NBA) analytics frameworks for patient engagement, ensuring real-time, data-driven recommendations that improve patient experiences, support adherence, and maximize support program impact.
• Impact Measurement & ROI Demonstration: Establish robust analytical frameworks and methodologies to quantify the reach, efficacy, business value, and ROI of patient engagement strategies and support initiatives across brands and portfolios.
• Cross-Functional Collaboration & Influence: Partner closely with Brand and Patient Experience teams to align analytics capabilities with overarching business objectives and communicate complex analytical findings into compelling executive narratives.
• People Leadership & Team Development: Direct, coach, and inspire a high-performing team of analysts and insights leads, fostering a continuous learning culture focused on innovation, technical excellence, and strategic partnership.
• Data Governance & Ethical Compliance: Champion rigorous standards for data privacy, patient data governance, and regulatory/compliance guidelines across all analytics frameworks, data science workflows, and patient support capabilities.

Who you are:

• You have a Bachelor’s degree in Data Science, Statistics, Economics, Health Economics, Business Analytics, Life Sciences, or a related quantitative field.
• You have 12+ years of relevant experience in life sciences, pharmaceutical commercial analytics, decision support, or management consulting with a focus on healthcare.
• People Leadership, You have 5+ years of direct people management experience, leading and mentoring high-performing teams of data analysts, data scientists, or insights professionals.
• Deep Domain Expertise (Patient Journey & Support): Thorough understanding of the patient journey within specialty/pharma markets—including diagnosis, treatment initiation, access/reimbursement hurdles, patient assistance programs, hub services, and adherence drivers.
• Pharmaceutical Data Datasets: Extensive hands-on and strategic experience leveraging secondary healthcare datasets (e.g., longitudinal patient data, medical and pharmacy claims [IQVIA, Symphony, Komodo], EHR/EMR data, specialty pharmacy data, and PROs).
• Advanced Analytics: Demonstrated experience evolving an analytics capability from traditional reporting to predictive/prescriptive analytics, including Next Best Action (NBA) models, machine learning driven patient journeys, and AI-driven insights tools.
• Impact & ROI Measurement: Proven track record in developing impact measurement models, experimental designs (A/B testing, test-control matched pairs), and ROI attribution frameworks for patient…