Principal Business Product Manager - Forecasting

Genentech•Daly City, CA

3d•$161,600 - $300,000•Onsite

About The Position

The Data, Digital, & Analytics (DDA) team at Genentech partners with the Commercial, Medical, and Government Affairs (CMG) organization to leverage data, analytics, and AI/ML for impactful decisions. The Insights & Analytics (I&A) Product Suite team within DDA builds enterprise-wide product solutions to provide CMG teams with a unified view of customers, actions, and outcomes. This role is within the Forecasting pillar of the I&A Product Suite team, focusing on building scalable, modern forecasting products and platforms. The goal is to transition from a fragmented, semi-manual forecasting process to a unified, predictive, and data-driven system that improves transparency, accuracy, and modeling agility. The Business Product Manager will lead a cross-functional team to bridge the gap between forecasting tools, processes, strategy, technology, and forecasters.

Requirements

Bachelor’s degree in Business, Technology, Data Science, or another quantitative field.
8+ years of total professional experience.
At least 5 years dedicated to pharmaceutical analytics or business analytics product management across multiple therapeutic areas.
Proven experience in a Product Manager or Product Owner role, successfully guiding an analytical or digital product through its full lifecycle (from ideation to launch and scaling).
Ability to design scalable product solutions that address common business challenges and serve the broader organization.
Strong domain expertise in pharmaceutical forecasting.
Deep understanding of pharma data across commercial, medical, sales, and access and how to utilize it to build a forecast.
Demonstrated success in aligning cross-functional stakeholders, with the professional maturity to push back on requests that misalign with corporate objectives.
Extensive experience working in an Agile environment, managing complex product backlogs, and coordinating tightly with technical IT and Data engineering teams.
Exceptional presentation skills, with the ability to evangelize the product vision to both technical and non-technical audiences.
Highly collaborative and able to influence cross functionally to develop and evolve our product roadmap(s).

Nice To Haves

MBA, or an MS in Business Analytics, Data Science, or a related graduate-level qualification.
Experience working with AI (Claude, ChatGPT, etc.).
Proficiency with Jira.
Proficiency with data visualization tools (e.g., Tableau, Power BI).
Experience with product prototyping.
Experience with cloud-based data environments.
Deep knowledge of healthcare-specific data sets and the stringent compliance and privacy frameworks surrounding them.

Responsibilities

Partner with the Business Product Owner and/or Executive Director of Product Suite to support the definition of the product vision, strategy, and roadmap for forecasting products.
Translate deep pharmaceutical and forecasting domain knowledge into scalable forecasting solutions that will enable strategic investment decision making at the brand and portfolio level to drive top line growth, while simultaneously reimagining our approach to forecasting transparency, accuracy, fluency, and efficiency.
Manage advanced data and analytics products through their full lifecycle: from initial ideation and complex requirement definition to launch, scaling, and ongoing performance optimization.
Partner closely with Technical Product Managers, Data Leads, Data Scientists, and IT engineering to steer the development, deployment, and optimization of sophisticated analytical models, API service layers, and intuitive UI/UX capabilities.
In close partnership with business activation teams, oversee end-to-end business process mapping, user feedback compilation, and User Acceptance Testing (UAT) to ensure high-velocity feature rollouts and immediate end-user adoption.
Establish robust agile operational standards, backlog management rigor, and reusable product templates to ensure seamless pull-through and efficient execution.
Work closely with Forecasters, Finance partners, Data Science, RDT/IT, Field Analytics, and Digital Experience teams to deliver comprehensive forecasting tools.
Drive cross-functional consensus and actively evangelize the product’s strategic value proposition to executive stakeholders across diverse organizational channels.
Serve as the primary liaison between business stakeholders, finance stakeholders and technical teams, ensuring delivery consistently aligns with user needs and organizational priorities.
Champion a practice-based apprenticeship model, actively coaching, mentoring, and upskilling cross functional product teams including program managers, operations managers, and peers within the broader product community.
Ensure strict adherence to all laws, regulations, and policies governing Genentech's business activities.