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Roche

Product Lead, Portfolio Insights AI

Roche

Product Lead responsible for revolutionizing decision-making in portfolio insights at Roche. Designing and implementing advanced analytics solutions for Medical and Commercial teams.

Posted 4/18/2026full-timeBasel • 🇨🇭 SwitzerlandSeniorWebsite

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Responsible for revolutionizing Roche's commercial & portfolio decision-making by architecting a 'single source of truth' for portfolio insights
  • Connect comprehensive, high-quality internal and external portfolio information to advanced analytical models and agentic AI
  • Democratize access to real-time competitive and integrated financial and market insights data
  • Enable more objective, transparent, and data-driven decisions that strengthen Roche’s competitive position
  • Build scalable, scientific analytics products embedded into the workflows of Medical and Commercial teams
  • Lead the unified squad consisting of Business product leader, Digital Tech, and Business Activation
  • Responsible for design, feature prioritization, analytical framework/methodology, data requirement and execution for analytics and data products
  • Use Jira and Scrum methodologies to translate business 'pain points' into a groomed backlog of technical features
  • Prioritize product backlog based on the intersection of Business Value, Data Readiness, and Technical Feasibility
  • Drive the adoption rate and measure the tangible 'Lift' impact generated by the product

Requirements

What you’ll need
  • 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
  • Deep expertise in conducting secondary and primary research, for diseases area strategy/BD&L
  • Deep expertise in building forecasting models, and market sizing analytics
  • Strong grasp of Cloud stacks, Data Engineering, API integrations, and MLOps
  • Hands-on experience with modern Data Warehouses (Snowflake/Databricks)
  • Ability to operate as a 'mini-CEO' of your product line, navigating a complex matrix organization to get things done

Benefits

Comp & perks
  • health insurance
  • professional development opportunities

ATS Keywords

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Hard Skills & Tools
AI solutionsAgentic AIforecasting modelsmarket sizing analyticsCloud stacksData EngineeringAPI integrationsMLOpsanalytics productsanalytical framework
Soft Skills
leadershipcommunicationorganizationaldecision-makingprioritizationcollaborationproblem-solvingadaptabilitystrategic thinkingstakeholder management