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

Location: South San Francisco

Why Genentech

We’re passionate about delivering on our promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world’s most complex health challenges and transforming society.

Who We Are

Our Data, Digital, and Analytics (DDA) team is dedicated to solving complex healthcare challenges and improving patient outcomes. The DDA team empowers business partners across Commercial, Medical, and Government Affairs (CMG) to make impactful decisions by leveraging data, analytics, business products, and AI/ML to enable fast, targeted actions in rapidly evolving business contexts.

DDA fosters a unified understanding of customers, actions, and outcomes by integrating analytics and insights seamlessly into CMG’s evolving digital, data, and automation platforms, creating scalable solutions and eliminating silos.

In DDA, you will work as a trusted, objective advisor and expert, recommending critical decisions and actions to be taken with credibility and a focus on driving measurable impact. You will be part of a thriving culture built on collaboration and innovation.

Job Summary

The Therapeutic Area Analytics & Insights Director - Technical Lead, Cardiovascular, Renal, and Metabolic (CVRM) in DDA is a strategic advisor to key stakeholders across Genentech’s CMG planning efforts. This individual is responsible for developing and supporting the delivery of actionable insights and strategic recommendations to inform timely and critical business decisions in specific therapeutic areas. As part of the CVRM team, this individual serves as the technical anchor for the CVRM franchise, responsible for shaping and executing the end-to-end data strategy, advanced analytical modeling, and predictive targeting capabilities in a highly consumer-driven therapeutic market.

This role involves collaborating with stakeholders to understand business needs, conducting targeted analyses to uncover tailored insights, and synthesizing findings into strategic options aligned with organizational goals. This work will guide decisions that affect in-line, pipeline, and business development assets. This individual is responsible for providing strategic recommendations with minimal guidance or supervision, leveraging their capabilities.

This role will manage 1-2 individual contributors, providing coaching and oversight. The Director works flexibly within a matrix structure, sensing business priorities and reprioritizing work to meet organizational objectives. By embedding analytics products into workflows and fostering a culture of continuous improvement, this role plays a pivotal part in enhancing analytical capabilities and supporting the strategic direction of the enterprise.

Key Responsibilities

Data strategy & architecture: Partner closely with IT and data engineering teams to design, build, and scale the overarching data strategy and analytical architecture for CVRM, ensuring robust integration of secondary datasets (open/closed claims, tokenized data, and consumer insights).

Advanced analytics: Lead the development and deployment of advanced statistical models, machine learning algorithms, and predictive analytics for patient-finding, HCP/consumer segmentation, forecast modeling, and targeted omnichannel engagement.

Strategic commercial advisory: Advise senior stakeholders to define clear, impactful business priorities within CVRM, translating complex quantitative findings into actionable strategic recommendations for blockbuster portfolios and late-stage launches.

People leadership: Directly manage, coach, and develop data analytics individual contributors, fostering technical excellence, rigorous methodology, and continuous upskilling across the team.

Consumer-driven market expertise: Drive advanced analytical approaches tailored to a fast-evolving, consumer-driven healthcare landscape, connecting clinical insights with broader behavioral and economic drivers.

Cross-functional leadership: Collaborate seamlessly across commercial marketing, medical affairs, market access, and finance teams to ensure end-to-end alignment and high-impact execution.

Product integration & innovation: Champion the adoption of advanced analytical products and automated workflows, embedding predictive capabilities directly into business operations and fostering a product-first culture.

Stakeholder influence: Translate intricate data science concepts into compelling, intuitive narratives that drive executive alignment and stakeholder buy-in. Comply with all laws, regulations and policies that govern the conduct of Genentech activities.

Who You Are

Minimum Candidate Qualifications & Experience

8+ years of relevant work experience (or equivalent with advanced education)

Bachelor's Degree

• Demonstrated expertise in statistical modeling, machine learning, predictive analytics, and algorithm development (e.g., patient finding, predictive targeting).
• Proficiency in core analytical and programming tools (e.g., Python, R, SQL) and cloud-based data environments (e.g., AWS, Snowflake, Databricks).
• Experience synthesizing concise summaries focused on the key insights that inform business decisions.
• Comfortable dealing with uncertainty in a highly-matrixed organization.
• Growth mindset, strong results orientation, and adaptability in a fast-paced environment.
• Proven track record of managing and developing direct reports, providing technical oversight, coaching, and mentorship.
• Exceptional ability to translate complex technical findings into strategic business narratives for non-technical senior leaders.

Additional Desired Candidate Qualifications & Experience

Advanced Degree (Master’s or Ph.D.) in Statistics, Computer Science, Data Science, Economics, Mathematics, Engineering, or a related quantitative field.

Direct experience working within commercial pharma or consumer-driven healthcare markets, with deep familiarity with secondary data sources (syndicated sales, longitudinal patient-level data, open/closed claims, and consumer datasets).

Experience partnering with IT and engineering teams to define data architecture, build data pipelines, and establish enterprise data governance/quality standards.

Experience shaping go-to-market strategies, launch planning, or lifecycle management across therapeutic areas such as Cardiovascular, Renal, Metabolic, or related portfolios.

Strong entrepreneurial mindset with the ability to navigate ambiguity, solve unstructured problems, and drive rapid prototyping and deployment of analytical solutions.

Location

This position is based in South San Francisco, CA and relocation benefits are not available.

The expected salary range for this position based on the primary location of South San Francisco is $172,600 - $320,600. Actual pay will be determined based on 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. This position also qualifies for the benefits detailed at the link provided below.

Benefits

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.