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Product Lead: Customer Insights and engagement analytics

Roche, South San Francisco, CA, USA

Pay: 60.000 - 80.000

Job type: Full Time


At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position
The Commercial Data and AI organization is the engine of the data-driven commercial transformation. This role is the "Strategic Architect" for Customer Facing Insights and Precision Engagement, moving the organization from generic outreach to hyper-personalized, data-led interactions. You will lead the development of seamless, tech-enabled products, specifically the Customer 360 (C360) and Next Best Action (NBA) engines, to empower field and marketing teams with real-time, actionable intelligence.

Your mandate is to operationalize precision engagement—integrating disparate data sources into a unified customer view and deploying algorithmic recommendations that dictate the optimal Customer, Channel, Content, and Cadence. By simplifying complex data into "Actionable Nudges," you will eliminate manual workload for field teams and ensure every HCP interaction is valuable, seamless, and pleasant.

The Opportunity
You are the entrepreneurial architect of our AI/Analytics ecosystem. Your goal is to build scalable, scientific analytics products that are seamlessly embedded into the workflows of our Medical and Commercial teams to ensure every solution drives a tangible, validated impact on patient and business outcomes.

Lead the unified squad consisting of Business product leader (you), Digital Tech, and Business Activation. You are responsible for the design, feature prioritization, analytical framework/methodology, data requirement and execution and management of analytics and data products for this particular product

Build the overall design, business case, data strategy, analytics approach and UI for the Analytics product

Agile Product Management: Use Jira and Scrum methodologies to translate business "pain points" into a groomed backlog of technical features with clear, time-bound milestones

Feature Prioritization: Ruthlessly prioritize the product backlog based on the intersection of Business Value, Data Readiness, and Technical Feasibility

Ensure insights are delivered where decisions happen. Whether it is Veeva/CRM, Marketing Automation, or custom digital tools, the analytics must be embedded in the existing workflow, not a separate destination

Design "Best-in-Class" interfaces that are intuitive and "non-scientific" for the end-user, compelling Field and Medical teams to take the right actions at the right time

Own the "Final Mile." You are responsible for driving the adoption rate and measuring the tangible "Lift" (ROI) generated by the product

Define rigorous validation criteria. You must be willing to "kill" a product if the EDA (Exploratory Data Analysis) shows a low signal-to-noise ratio or if the data sources cannot support a scalable solution

Simplify complex AI concepts into strategic narratives for C-suite/Senior Leadership. You must justify the "spend" by demonstrating the "impact".

Who you are

Deep understanding of the Medical/Commercial lifecycle in Life Sciences (HCP engagement, Patient Journeys, Regulatory/Compliance)

Must have experience in building AI and Agentic AI solutions at scale

You must understand "how the engine works." This includes a strong grasp of Cloud stacks, Data Engineering, API integrations, and MLOps

Hands-on experience with CRM (Salesforce/Veeva), Marketing Automation (Adobe/SFMC), and modern Data Warehouses (Snowflake/Databricks)

The ability to operate as a "mini-CEO" of your product line, navigating a complex matrix organization to get things done

Expert knowledge of the data sets required for Pharma use cases (e.g., IQVIA/Veeva data, claims, digital engagement metrics)

Mastery of data storytelling—the ability to use data to prove a point, influence a decision, and inspire a team

Ensuring adherence with all aspects of Pharma compliance through close collaboration with respective representatives of different compliance domains

Roche is an Equal Opportunity Employer.

Roche is an equal opportunity employer and strictly prohibits unlawful discrimination based upon an individual's race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law.

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