Staff Product Manager, Longitudinal Patient Record
New
C
Counterpart HealthHealthcare data
Remote - USAFull-TimeStaff
SalaryA reasonable estimate of the base salary range for this role is: $188,500 — $245,000 USD
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Job Details
- Experience
- 8+ years of product management experience
- Required Skills
- Product Management
Requirements
- Have 8+ years of product management experience.
- Have owned a data platform, data model, or shared data product used by multiple teams.
- Have set product strategy for a platform with many internal consumers and made associated trade-offs.
- Bring deep working knowledge of healthcare data and its clinical utility, including institutional and professional claims, C-CDA clinical documents, FHIR resources, ADT feeds, and lab data.
- Understand what different healthcare data sources cover and where their gaps are.
- Have defined canonical or master data, such as patient, provider, facility, encounter, or clinical concepts, and achieved adoption by other teams.
- Work directly with data by reviewing charts, investigating discrepancies, running analyses, and testing definitions against real records.
- Use AI to accelerate data work and validate its output.
- Have led cross-functional projects through influence across engineering, clinical, and operations teams.
- Be able to describe a business result contributed to by a data improvement you owned.
Responsibilities
- Set the vision and roadmap for the longitudinal patient record, prioritizing problems and trade-offs among completeness, accuracy, timeliness, and investment.
- Define consistent representations for care events, dates, settings, providers, facilities, medications, conditions, labs, and procedures.
- Establish clinically grounded rules for combining sources and preserving traceability to supporting evidence.
- Unify hospitalization, emergency department, and post-discharge care information from multiple sources.
- Support provider, quality measurement, risk adjustment, payment integrity, and revenue operations use cases with a shared care history.
- Own patient matching, deduplication, normalization, and clinical terminology mapping across data sources.
- Develop requirements and migration plans to drive adoption of canonical data and retire fragmented, duplicate versions.
- Partner with engineering, clinical, and operations teams to set direction and drive delivery.
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