Head of Product Management, Health Systems
NateraAbout the role
Position Overview
Natera is building a category-defining Health Systems business that moves beyond the transactional “vendor” model into a true strategic partner for leading health systems. We aim to deeply integrate into EMRs, clinical decision support tools, research pipelines, and quality improvement programs — delivering population-scale precision medicine solutions that combine genomics, clinical data, and informatics.
The Head of Product Management, Health Systems will be the senior-most product leader in this business. This role demands a rare blend of technical and commercial expertise — someone who can walk into a CIO’s office, collaborate with an informatics team on HL7/FHIR data integrations, and then pivot to shaping a commercial value proposition for the C-suite. The ideal candidate has hands-on experience building and scaling clinico-genomic data platforms and working with large, complex real-world datasets in healthcare.
This leader will define, build, and launch a portfolio of software-enabled diagnostics, EMR-integrated services, and data-driven clinical tools that differentiate Natera as the health system partner of choice. They will work cross-functionally with engineering, medical, informatics, sales, and research teams — and directly with partner health systems — to make population-level genomic insights actionable at the point of care.
Key Responsibilities
Product Strategy & Vision
- Translate the GM’s strategic vision into a cohesive, executable roadmap for Health Systems offerings, encompassing diagnostics, data services, EMR-integrated tools, and decision support.
- Identify and prioritize opportunities to embed Natera into health system infrastructure, including:
- EMR integration (Epic, Cerner, etc.)
- Clinical decision support deployments
- Large-scale clinico-genomic databases for quality metrics and value-based care programs
- Biobanking and informatics partnerships
- Build a defensible “moat” by creating solutions that are sticky, interoperable, and aligned with health system strategic goals.
Product Development & Execution
- Oversee full product lifecycle: concept → development → launch → scaling → optimization. Additional focus will be on designing and integrating complex data architectures that combine genomics, clinical data, and outcomes.
- Lead cross-disciplinary development teams, ensuring compliance with CLIA/CAP requirements and interoperability standards (HL7, FHIR).
- Ensure solutions address both technical feasibility (data flows, integration wiring, informatics infrastructure) and commercial viability (business models, ROI).
- Troubleshoot in-market adoption barriers and continuously improve product-market fit.
Market Engagement & Customer Integration
- Serve as the primary product interface for key customer stakeholders:
- Precision medicine program leaders
- Health IT and informatics departments
- Health system executives (CIO, CMIO, CTO, CEO/COO)
- Partner with clinical, research, and informatics leaders to design pilots, research collaborations, and integration roadmaps.
- Understand and navigate the informatics decision-making chain within large health systems.
Leadership & Team Building
- Hire, mentor, and grow a team of product managers with deep expertise in diagnostics, software, and health systems.
- Foster a metrics-driven, innovative product culture that thrives in a “big startup” environment — fast-moving, resourceful, and execution-focused.
- Collaborate closely with internal sales, business development, and marketing to ensure consistent messaging, positioning, and enablement.
Business & Commercial Planning
- Build business cases and define success metrics for new initiatives.
- Shape go-to-market strategy in partnership with sales and marketing.
- Lead due diligence for partnerships, licensing deals, and health system agreements.
Qualifications
- 10+ years in product management/product development in diagnostics, health tech, or medical software — with at least 7 years leading product teams.
- Direct experience building and managing large clinico-genomic databases or equivalent real-world data platforms.
- Strong background in bioinformatics, computational biology, data science, and engineering — with technical flu
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