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Amazon Health Services’ One Medical team seeks a Senior Product Manager - Tech to own ingestion, reconciliation, and use of customer and third party health data. You’ll shape data pipelines, enrich records, and surface actionable insights for clinicians and patients, partnering with engineers and scientists on data platforms and ML systems.
You’ll translate HIPAA, FHIR/HL7 constraints into product requirements, drive metrics for data quality, and influence stakeholders across privacy,
Description
Join Amazon Health Services' One Medical team and shape the systems that determine how customer generated health data and third party health data drive better health outcomes for patients. You will define product strategy and drive execution for the platforms that ingest, normalize, and surface health data from diverse sources — wearables, connected devices, lab integrations, and patient reported inputs — turning fragmented signals into actionable clinical and consumer insights. These systems power experiences across the care continuum: enabling providers to make more informed decisions, helping patients engage meaningfully with their own health, and unlocking data driven personalization across Amazon Health Services.
Health data is unlike typical consumer data: it is governed by HIPAA and evolving state level privacy regulations, arrives in inconsistent formats (HL7, FHIR, proprietary device APIs), carries clinical significance that demands accuracy, and requires careful consent and access controls. Every product decision you define and measure operates under these constraints.
We are looking for a Senior Product Manager - Tech to own the product strategy for how One Medical ingests, reconciles, and leverages customer generated and third party health data to improve care delivery and patient outcomes. You will define the problems, shape the solutions, and drive outcomes across data ingestion pipelines, health record enrichment, data quality and normalization, and surfacing insights to clinicians and patients — working directly with engineers and scientists building the underlying data platforms and ML systems.
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