Join the Amazon Health Services One Medical team as a Sr. Product Manager - Tech. You will be instrumental in shaping systems that leverage customer-generated and third-party health data to enhance patient health outcomes.

Your role will involve defining product strategy and driving execution for platforms that ingest, normalize, and surface health data from various sources, including wearables, connected devices, and lab integrations. These insights will power experiences across the care continuum, aiding providers, engaging patients, and enabling data-driven personalization within Amazon Health Services.

Navigating the complexities of health data, including HIPAA regulations, evolving privacy laws, and diverse data formats like HL7 and FHIR, will be central to your responsibilities. Every product decision will be made with these critical constraints in mind.

Define the product vision and multi-year roadmap for customer-generated health data systems, focusing on ingestion, normalization, enrichment, and clinical surfacing.

Translate intricate health data and regulatory requirements (HIPAA, FHIR/HL7 interoperability, consent management, state privacy laws) into actionable product requirements for engineering teams.

Design and own the comprehensive metrics framework for data quality, completeness, and clinical utility within your domain.

Collaborate with Clinical Operations, Provider Experience, Compliance, Privacy, and Platform Engineering partners to deliver solutions and drive improvements.

Partner with Applied Scientists and Engineers to establish success criteria for data reconciliation models, insight generation algorithms, and automated triage systems.

Influence cross-functional teams and organizations to achieve outcomes in a matrixed environment.

A Bachelor's degree is required.

Demonstrated experience in owning and driving product roadmap strategy and definition.

Proven ability in feature delivery and managing product tradeoffs.

Experience contributing to engineering discussions on technology decisions and product strategy.

Experience managing technical products or online services.

Capability in representing and advocating for diverse customers and stakeholders during executive-level prioritization and planning.

Preferred qualifications include experience in healthcare and with ML/AI product management, encompassing model success criteria, lifecycle management, and A/B testing ML systems. A Master's degree in a quantitative/technical field like computer science or engineering is also advantageous.