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."
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed