Department
Engineering
Reports To
Chief of Product
Description and Scope of Work
Biome’s products combine deep cardiovascular domain expertise with the latest techniques in AI and machine-driven intelligence to help hospital clinicians and administrators continuously improve performance on key quality and cost indicators. Biome’s clients include clinical and administrative leaders at top-performing Cardiovascular Institutes across the US, who rely on the Biome Performance Network (BPN) to drive excellence in their organizations.
We are looking for an experienced, data-focused product manager to own Biome’s data pipeline end-to-end, from raw client submissions through the measures, benchmarks, and performance analytics our customers use every day. You will drive pipeline requirements, release planning, measure production, data quality, and the growing role of AI across all of these areas. This position reports to Biome’s senior product leadership and will partner closely with the incoming VP of Product Management.
You will partner with the Pipeline team, the Analytics team, the Clinical Transformation team, Data Operations, Product Engineering, and the AI/ML engineering team to scale Biome’s data operations through product management best practices. You will also be a key product owner for the data requirements behind EMR integration workstreams as those programs mature.
The successful candidate is equally comfortable discussing hospital admin and claims data, EMR feeds and FHIR resources, measure definitions, benchmark methodology, LLM-assisted analytic workflows, and the commercial impact of data quality. A strong customer focus, a deep respect for clinical accuracy, and an analytic mindset are critical to shaping a roadmap that clients trust. This position is remote within the US, with monthly travel for team meetings and periodic customer visits.
Essential Duties and Responsibilities
- Own the product requirements for Biome’s data pipeline end-to-end, from ingestion and translation through measures, benchmarks, and derivative statistics.
- Own release planning for data product releases cadence, contents, cut-line decisions, and documented quality gates.
- Partner with the CCTO’s organization and the measure build team to sustain high throughput and prioritization as the measure catalog scales.
- Represent the data layer in EMR integration design and requirements work: translator specs, ingestion patterns, BEI alignment, match-rate SLAs, and Knowledge Network updates.
- Own the quality roadmap for the measure production process, partnering with engineering to define and evolve data quality gates, validation standards, and release acceptance criteria.
- Partner with the AI/ML engineering team to identify, prioritize, and evaluate AI applications in measure authoring, validation, and data quality work, with a clear point of view on where AI creates durable value and where human-curated analytics must remain authoritative.
- Translate customer, commercial, and Clinical Transformation team signal into a prioritized roadmap of pipeline and measure production improvements.
- Collaborate with the Clinical Transformation team, commercial, and marketing to evangelize Biome’s data capabilities to prospects and existing clients.
- Contribute to roadmap-driven OKRs, track progress against targets, and report to the senior leadership team.
Qualifications Required for Position
- 5+ years of product management experience, with at least 2 years owning data, pipeline, or platform products in a regulated domain (healthcare, clinical research, financial services, or similar).
- Direct, hands-on experience with hospital administrative and claims data. You have shipped products against this data, you understand its quirks, and you can reason about it without an interpreter.
- Experience with EMR integration and healthcare interoperability, including HL7 v2, FHIR, and CDA, and working familiarity with common EHR vendors such as Epic, Oracle Health/Cerner.
- Demonstrated experience shipping AI or ML product capabilities, ideally including LLM-assisted work against structured domain data (schema-conforming generation, structured extraction, validation, or similar), with a clear understanding of their strengths, limitations, and evaluation methods in regulated contexts.
- Experience with data quality and validation frameworks, and a clear point of view on how to instrument data pipelines for trust.
- Strong fluency in SQL and comfort reasoning about data models, pipelines, and release processes at scale across many tenants and time grains.
- Experience operating product management best practices in fast-moving data and engineering environments: requirements intake, prioritization, release planning, and cross-team coordination.
- Excellent communication, interpersonal, and analytical skills, including the ability to present clearly and persuasively to customers, partners, colleagues, and senior executives.
- Highly structured and well-organized, with the ability to manage multiple concurrent workstreams across clinical, engineering, and commercial stakeholders.
- Creative thinker with an entrepreneurial attitude and a bias toward shipping.
Preferred Qualifications:
- Direct experience with cardiovascular clinical registry data (ACC/NCDR, STS, AHA/GWTG, or similar).
- Experience building analytic products that serve hospitals, hospital systems, or cardiovascular service lines.
- Experience as the first or early product manager on a small, high-ownership product team.
- Experience developing or contributing to market expansion plans (new clinical domains, new customer segments, or new geographies), with a point of view on how data and measure strategy unlocks entry.
Work Environment
Remote, within the United States. Monthly travel for team meetings and periodic customer visits.
Base salary range: $130,000 to $150,000, depending on experience and location, and benefits.
About Biome
Biome is a best-in-class platform that cardiovascular teams rely upon to adapt and succeed in a time of accelerating change. We provide the software and services our customers need to contain costs while continually improving the quality of the care they deliver.