Senior Product Manager - Data Onboarding

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 at least once per year for an onsite meeting.

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.

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.

• Define and communicate the long-term vision and strategy for Truveta’s data onboarding platform, creating a unified, intuitive, and scalable experience for both health systems and internal data teams
• Own and drive the product roadmap for healthcare data connectivity, extraction and onboarding at scale across multiple real-world data sources
• Partner closely with engineering leadership to prioritize investments, guide delivery, and build reliable, secure, extensible, and high-performing onboarding platform capabilities
• Translate product strategy into scalable technology requirements, ensuring alignment with Truveta’s growth objectives, operational goals, and compliance standards
• Leverage AI-first approaches to modernize onboarding workflows, improve operational efficiency, and accelerate onboarding velocity for terabytes of healthcare data
• Build strong relationships with health system customers and users to continuously inform product direction through customer discovery, beta programs, and feedback loops
• Define, monitor, and report on product KPIs related to adoption, onboarding velocity, operational efficiency, platform scalability, and customer satisfaction
• Connect product investments and decisions to measurable business outcomes, clearly communicating impact, tradeoffs, and strategic priorities to leadership and stakeholders
• Drive alignment across teams by fostering collaboration, transparency, and clarity around shared goals and execution plans

• 8+ years of product management experience, including ownership of technical or platform products
• Strong understanding of healthcare data extraction, onboarding pipelines, data processing architectures, and large-scale distributed systems
• Deep experience working with healthcare data, electronic health records (EHRs), healthcare interoperability, or real-world data ecosystems
• Ability to thrive in ambiguity while bringing structure, clarity, and momentum to highly complex initiatives
• Experience partnering closely with engineering organizations to deliver complex technical products from strategy through execution
• Excellent communication and stakeholder management skills, including experience presenting to executive leadership and external partners
• Proven ability to lead cross-functional initiatives involving engineering, operations, customer stakeholders, and business teams
• Passion for improving healthcare through data, technology, and innovation

• Familiarity with healthcare interoperability standards and technologies such as HL7, FHIR, CCD/C-CDA, Epic, Cerner, Meditech, or other major EHR ecosystems
• Experience applying AI/ML-driven approaches to workflow automation, data extraction, or operational optimization
• Experience working…