About The Position

The Therapeutic Area Analytics & Insights Director - Technical Lead for Cardiovascular, Renal, and Metabolic (CVRM) is a strategic advisor to stakeholders across Genentech’s Commercial, Medical, and Government Affairs (CMG) planning efforts. The role develops and supports actionable insights and strategic recommendations to inform business decisions in specific therapeutic areas. As the technical anchor for the CVRM franchise, the Director shapes and executes the end-to-end data strategy, advanced analytical modeling, and predictive targeting capabilities in a consumer-driven therapeutic market. The position partners with stakeholders to understand business needs, conducts targeted analyses, and synthesizes findings into strategic options aligned with organizational goals. The work informs decisions about in-line, pipeline, and business development assets. The Director provides strategic recommendations with minimal guidance or supervision and manages 1–2 individual contributors, providing coaching and oversight. Working flexibly in a matrix structure, the Director adapts priorities to organizational needs, embeds analytics products into workflows, and promotes continuous improvement. The role is based in South San Francisco, California. Relocation benefits are not available. The expected salary range for this location is $172,600–$320,600. Actual pay depends on experience, qualifications, geographic location, and other permitted job-related factors. A discretionary annual bonus may be available based on individual and Company performance. The position qualifies for company benefits detailed at a linked page.

Requirements

  • Bachelor’s degree.
  • At least 8 years of relevant work experience, or equivalent with advanced education.
  • Demonstrated expertise in statistical modeling, machine learning, predictive analytics, and algorithm development, such as patient finding and predictive targeting.
  • Proficiency with analytical and programming tools such as Python, R, and SQL, and cloud-based data environments such as AWS, Snowflake, and Databricks.
  • Experience synthesizing concise summaries that focus on insights informing business decisions.
  • Comfort working with uncertainty in a highly matrixed organization.
  • Growth mindset, strong results orientation, and adaptability in a fast-paced environment.
  • Track record of managing and developing direct reports, including technical oversight, coaching, and mentorship.
  • Exceptional ability to translate complex technical findings into strategic business narratives for nontechnical senior leaders.

Nice To Haves

  • Master’s or Ph.D. in Statistics, Computer Science, Data Science, Economics, Mathematics, Engineering, or a related quantitative field.
  • Direct experience in commercial pharma or consumer-driven healthcare markets, with familiarity with secondary data sources such as syndicated sales, longitudinal patient-level data, open and closed claims, and consumer datasets.
  • Experience partnering with IT and engineering teams to define data architecture, build data pipelines, and establish enterprise data governance and quality standards.
  • Experience shaping go-to-market strategies, launch planning, or lifecycle management in Cardiovascular, Renal, Metabolic, or related therapeutic areas.
  • Entrepreneurial mindset and ability to navigate ambiguity, solve unstructured problems, and drive rapid prototyping and deployment of analytical solutions.

Responsibilities

  • Partner with IT and data engineering teams to design, build, and scale the CVRM data strategy and analytical architecture, integrating secondary datasets such as open and closed claims, tokenized data, and consumer insights.
  • Lead development and deployment of advanced statistical models, machine learning algorithms, and predictive analytics for patient finding, HCP and consumer segmentation, forecast modeling, and targeted omnichannel engagement.
  • Advise senior stakeholders on CVRM business priorities and translate quantitative findings into strategic recommendations for portfolios and late-stage launches.
  • Manage, coach, and develop data analytics individual contributors, promoting technical excellence, rigorous methodology, and continuous upskilling.
  • Develop analytical approaches suited to a consumer-driven healthcare market, connecting clinical insights with behavioral and economic drivers.
  • Collaborate with commercial marketing, medical affairs, market access, and finance teams to support alignment and execution.
  • Promote adoption of advanced analytical products and automated workflows, embedding predictive capabilities into business operations and fostering a product-first culture.
  • Translate complex data science concepts into clear narratives that support executive alignment and stakeholder buy-in.
  • Comply with laws, regulations, and policies governing Genentech activities.
  • Provide coaching and oversight to 1–2 individual contributors and reprioritize work in response to business needs.

Benefits

  • A discretionary annual bonus may be available based on individual and Company performance.
  • The position qualifies for company benefits, detailed at a linked page; specific benefits are not listed in the posting.
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