Senior Product Manager - Analytics

Senior Product Manager - Analytics

Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.

Truveta was born in the Pacific Northwest, but we have employees who live across the country. Our team enjoys the flexibility of a hybrid model and working from anywhere.  In person attendance is required for one week during the year for Truveta Planning Week.

For overall team productivity, we optimize meeting hours in the pacific time zone. We avoid scheduling recurring meetings that start after 3pm PT, however, ad hoc meetings occur between 8am-6pm Pacific time. #LI-remote

Who We Need 

Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. 

This Opportunity 

We are looking for a Senior Product Manager who will own the charter to transform how medical researchers access, analyze, and derive insights from real-world evidence (RWE). You will be responsible for building delightful analytics experiences that simplify complex statistical analysis for clinical researchers while driving engagement through intuitive dashboards and seamless data workflows. This role is critical in defining the future of Truveta's analytics offerings, spanning from advanced notebooks to innovative visualization tools that make regulatory-grade healthcare data accessible and actionable.

You will work across our core analytics stack including Synapse and Fabric notebooks, data export capabilities, Delta Sharing integrations, and interactive ShinyR/Plotly Dash dashboards. Your work will directly impact how researchers conduct epidemiological studies, clinical research, and safety monitoring using Truveta's comprehensive healthcare dataset.

Key Responsibilities

• Product Strategy and Vision: Drive the product strategy for Truveta's analytics ecosystem, focusing on simplifying the research experience while expanding our platform's analytical capabilities. Define the roadmap for notebooks, data export, sharing, and visualization tools.
• Analytics Innovation: Lead the development of cutting-edge analytics features that enable medical researchers to perform sophisticated statistical analysis and epidemiological studies. Stay at the forefront of data science trends to ensure Truveta remains the premier platform for healthcare analytics.
• User Experience Excellence: Create intuitive, delightful experiences for researchers working with complex healthcare data. Design workflows that reduce friction in statistical analysis while maintaining scientific rigor and regulatory compliance.
• Data Access and Sharing: Own the product experience for data export and Delta Sharing capabilities, ensuring researchers can seamlessly access and collaborate with Truveta data across different platforms and organizations.
• Dashboard and Visualization: Drive engagement and Monthly Active Users (MAU) growth through compelling dashboard experiences that make complex healthcare insights accessible and actionable for diverse user personas.
• Cross-functional Collaboration: Work closely with engineering, clinical informaticists, data scientists, customer success, and sales teams to deliver impactful analytics solutions that meet researcher needs.
• Stakeholder Communication: Foster clear communication with internal teams and external customers, translating complex technical concepts into business value and user benefits.
• Data Driven analysis: Define product metrics and track KPIs to measure analytics feature adoption, user engagement, and research impact. Make data-driven decisions to optimize the analytics experience.