Therapeutic Area Analytics & Insights Director - Technical Lead - Cardiovascular, Renal, & Metabolism (CVRM)

Roche • South San Francisco, CA

7d • $172,600 - $320,600

About The Position

The Therapeutic Area Analytics & Insights Director - Technical Lead for Cardiovascular, Renal, and Metabolism (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 for timely business decisions, serving as the technical anchor for the CVRM franchise. It shapes and executes the end-to-end data strategy, advanced analytical modeling, and predictive targeting capabilities in a consumer-driven therapeutic market.

The Director collaborates with stakeholders to understand business needs, conducts targeted analyses, and synthesizes findings into strategic options aligned with organizational goals. The work informs decisions affecting in-line, pipeline, and business development assets. The position provides strategic recommendations with minimal guidance, manages 1–2 individual contributors, and reprioritizes work within a matrix structure as business needs evolve. It also embeds analytics products into workflows and promotes continuous improvement to strengthen analytical capabilities and support enterprise strategy.

The role is based in South San Francisco, California. Relocation benefits are not available. The expected salary range is $172,600–$320,600, with actual pay determined by experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and company performance. The position qualifies for company benefits detailed at a separate link.

Requirements

• At least 8 years of relevant work experience, or equivalent with advanced education.
• Bachelor’s degree.
• 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 relevant to business decisions.
• Comfort working with uncertainty in a highly matrixed organization.
• Growth mindset, strong results orientation, and adaptability in a fast-paced environment.
• Proven experience managing and developing direct reports, including technical oversight, coaching, and mentorship.
• Ability to translate complex technical findings into strategic business narratives for non-technical senior leaders.

Nice To Haves

• Advanced degree (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 and familiarity with secondary data sources, including 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 CVRM data strategy and analytical architecture, integrating secondary datasets such as open and closed claims, tokenized data, and consumer insights.
• Lead the development and deployment of 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 landscape, connecting clinical insights with behavioral and economic drivers.
• Collaborate with commercial marketing, medical affairs, market access, and finance teams to support end-to-end alignment and execution.
• Promote adoption of advanced analytical products and automated workflows, embedding predictive capabilities in business operations and encouraging 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.
• Reprioritize work within a matrix structure in response to business priorities.

Benefits

• A discretionary annual bonus may be available based on individual and company performance.
• Company benefits are offered; specific benefits are referenced through a separate link but are not listed in the posting.

What This Job Offers

• Job Type: Full-time
• Career Level: Director