Commercial Analytics and Forecasting Sr. Manager

Overview

Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care.

We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine’s greatest challenges.

GRAIL is headquartered in the Bay Area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies.

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GRAIL is hiring a Commercial Analytics and Forecasting Sr. Manager who will own both near-term demand forecasting and strategic long-term planning models. You will also lead various analyses across the commercial organization. This role reports to the Director, Forecasting, Analytics, and Reporting.

This role is based in Menlo Park, California, and will move to Sunnyvale, California, in Fall 2026. It offers a flexible work arrangement, with the ability to work from GRAIL's office or from home. Our current flexible work arrangement policy requires that a minimum of 40%, or 16 hours, of your total workweek be on-site. Your specific schedule, determined in collaboration with your manager, will align with team and business needs and could exceed the 40% requirement for the site.

At our Menlo Park campus, Tuesdays and Thursdays are the key days where we encourage on-site presence to engage in events and on-site activities.

• Forecasting:
  Own and maintain detailed near-term Galleri demand forecasting and strategic Long-Range Planning (LRP) models for Galleri.
• Conduct scenario and sensitivity analyses around key forecast inputs to facilitate decision-making.
• Clearly articulate and drive alignment of forecast assumptions when presenting to commercial stakeholders and executive leadership.
• Represent commercial as the go-to lead subject matter expert on all things forecasting.
• Analytics:
  Lead cross-functional projects using data analysis techniques to uncover insights and guide strategic decisions within the commercial organization.
• Build, develop, and maintain data-driven models, reporting systems, data automation systems, dashboards, and track key performance indicators (KPIs) that support business decisions.
• Ensure quality and accuracy of data and deliverables.
• Partner with sales leadership across various go-to-market channels, uncovering insights and guiding decisions and tactics.
• Assess the impact of various promotional tactics on commercial revenue.
• Comfortable and able to navigate complexity, ambiguity, and unstructured requests.
• Clearly communicate results and business impacts of insight initiatives to stakeholders.
• Note:
  
  These responsibilities summarize the role’s primary responsibilities and are not an exhaustive list and may change at the company’s discretion.

• BA / BS undergraduate college degree required, and 4 or more years of work experience.
• Very strong spreadsheet skills (Excel, Google Sheets) and experience with translating findings into slides (PowerPoint, Google Slides).
• Willing to travel when the business requires it (10–15% of the time).

• 8 or more years of work experience.
• Strong verbal and written communication skills, proficient in interacting with Senior Leadership.
• Proven track record of working effectively in a collaborative, fast-paced, multi-tasking environment.
• Independent problem solver who brings solutions to business problems.
• Reliable teammate who consistently follows through with commitments.
• Impeccable attention to detail.
• Prior experience within commercial operations, analytics, forecasting, enablement, or a similar team.
• Prior healthcare industry experience.
• Experience with BI tools, such as Tableau, Qlik View, Databricks, etc.
• Relevant work…