About The Position

The Position 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. Data, Digital, and Analytics 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. Data, Digital, and Analytics 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 Data, Digital, and Analytics, 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. About CVRM at Genentech Cardiovascular, renal, and metabolic (CVRM) diseases, including obesity, MASH and type 2 diabetes, are a major public health emergency, impacting roughly half of the US population, and imposing a tremendous burden on healthcare systems and society. Despite the availability of numerous treatment options, significant gaps remain in addressing the unmet needs of patients, as many therapies have not significantly altered disease trajectories. Genentech is uniquely positioned to address these challenges with its comprehensive pipeline of investigational medicines aimed at improving outcomes, reducing societal burdens, and transforming care for patients with CVRM diseases throughout their journey. We are highly committed to contributing to areas of highest unmet need and societal burden through transformative science, expanding our footprint in cardiovascular and metabolic diseases. Job Summary The Therapeutic Area Analytics & Insights Senior Manager - Cardiovascular, Renal & Metabolism (CVRM) in Data, Digital, and Analytics is a strategic advisor to key stakeholders and an integral contributor to Genentech’s Commercial, Medical, and Government Affairs (CMG) planning efforts. This individual is responsible for developing or supporting the delivery of actionable insights and strategic recommendations to inform timely and critical business decisions across therapeutic areas, ecosystems, and/or business domains. A primary responsibility of this role is to lead forecasting across a rapidly evolving CVRM portfolio spanning obesity, metabolic disease, and cardiometabolic conditions with multiple investigational assets. The individual will develop and maintain patient-based and revenue forecast models, conduct scenario and uncertainty analyses, and partner with cross-functional stakeholders to inform portfolio strategy, launch planning, and business development decisions. Work will guide decisions that affect future in-line, pipeline, and/or business development assets. As an Individual Contributor, this individual is responsible for providing strategic recommendations with moderate guidance / supervision, leveraging their capabilities. The Senior Manager works flexibly within a matrix structure, sensing business priorities and reprioritizing work to meet organizational objectives, while delivering tailored, high-impact insights that address complex business questions and align with Genentech’s strategic priorities. The Senior Manager plays a critical role in integrating analytics products into workflows, promoting a product-first culture, and driving continuous improvement through best practice sharing and automation.

Requirements

  • 5 years of relevant work experience (or equivalent with advanced education)
  • Bachelor's Degree.
  • Experience with revenue forecasting, including patient-flow methods, launch forecasting, scenario modeling, statistical methods, and uncertainty analysis.
  • Experience building and improving forecasting models.
  • Experience synthesizing concise summaries focused on the key insights that inform business decisions.
  • Demonstrated experience supporting pipeline and business development (BD) strategy through analytics-driven asset assessments, portfolio prioritization, and strategic decision support.
  • Comfortable dealing with uncertainty in a highly-matrixed organization.
  • Strong results orientation and adaptability in a fast-paced environment.
  • Persuasive written and verbal communication skills.

Nice To Haves

  • Experience in the Cardiovascular, Renal, and Metabolic (CVRM) therapeutic area.
  • Degree in Business, Economics, Engineering, Statistics, Life Sciences, Mathematics, Computer or Physical Sciences or related field.
  • MBA or Graduate-level Degree.
  • Proven track record of leadership, time-management, project management, and teamwork.
  • Cross-functional insights & analytics experience preferred
  • Experience working across multiple analytics and insights domains to strengthen strategic recommendations and forecasting assumptions, such as:
  • Market Research: familiarity with qualitative and quantitative primary research used to understand patient, HCP, and stakeholder perspectives.
  • Competitive Intelligence: understanding of competitive landscape monitoring and its implications for forecasting and strategic planning.
  • Data Analytics: experience working with structured healthcare datasets (e.g., syndicated sales, patient-level data, claims data) and analytical tools such as Python, R, or SQL.
  • Access & Reimbursement: awareness of payer dynamics, coverage considerations, and reimbursement drivers that may influence forecast assumptions and market access.
  • Digital Measurement: exposure to digital analytics and performance measurement approaches used to inform strategy.
  • Proficiency in exploring large amounts of data, identifying important insights and building compelling narratives.
  • Proficiency in understanding market landscape and surfacing insights across multiple primary data sources.

Responsibilities

  • Lead the development, maintenance, and refinement of patient-based and revenue forecasting models for CVRM pipeline and future in-line assets.
  • Conduct scenario planning, sensitivity testing, and uncertainty analyses to inform strategic decisions across commercial planning, portfolio prioritization, and lifecycle management.
  • Translate complex clinical, epidemiologic, and market dynamics into robust forecast assumptions and modeling frameworks.
  • Continuously evolve forecasting methodologies by incorporating new data sources, automation, and advanced analytics approaches.
  • Develop clear strategic recommendations by synthesizing insights across analytics, forecasting outputs, competitive dynamics, and market trends.
  • Partner with CMG stakeholders to ensure forecasts and analyses inform key strategic decisions across the product lifecycle, including pipeline prioritization, launch readiness, and business development opportunities.
  • Communicate forecast assumptions, risks, and key drivers to senior leadership in a clear and actionable manner.
  • Promote adoption of Genentech’s analytics products and platforms by integrating them into forecasting workflows and analytic processes.
  • Contribute to a product-first analytics culture by participating in product roadmap discussions, providing feedback, and helping scale analytic capabilities across the organization.
  • Identify opportunities for automation, standardization, and efficiency improvements in forecasting and analytics workflows.
  • Collaborate closely with cross-functional stakeholders to understand evolving business needs and translate them into analytical questions and modeling approaches.
  • Effectively communicate insights and recommendations to both technical and non-technical audiences, influencing key stakeholders and enabling data-driven decision making.
  • Partner with offshore or external analytics teams to ensure alignment on modeling approaches, data quality, and deliverables.
  • Contribute to the broader Analytics & Insights community of practice by sharing best practices, mentoring peers, and fostering collaboration across teams.
  • Demonstrate an enterprise mindset by linking forecasting and analytics work to broader organizational priorities and patient impact.
  • Comply with all laws, regulations and policies that govern the conduct of Genentech activities.
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