Staff Product Manager, Longitudinal Patient Record
New
C
Counterpart HealthHealthcare technology
Remote - USAFull-TimeStaff
SalaryThe 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 ManagementData modeling
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 related trade-offs.
- Bring deep working knowledge of healthcare data, including institutional and professional claims, C-CDA, FHIR resources, ADT feeds, and lab data.
- Understand what healthcare data sources cover and where their gaps are.
- Have defined canonical or master data for patients, providers, facilities, encounters, or clinical concepts and driven adoption by other teams.
- Be able to review charts, investigate discrepancies, run analyses, and test 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 demonstrate how an owned data improvement contributed to a business result.
Responsibilities
- Set the vision and roadmap for the longitudinal patient record and prioritize 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 data sources and ensure facts can be traced to their supporting evidence.
- Build a unified record of hospitalizations, emergency department visits, and post-discharge care using multiple data sources.
- Own patient matching, deduplication, normalization, and clinical terminology mapping across data sources.
- Support providers, quality measurement, risk adjustment and RADV audits, payment integrity, and revenue operations with a shared care history.
- Drive adoption through requirements, use-case migration plans, and retirement of fragmented or duplicate data.
- Lead cross-functional decisions and delivery with engineering, clinical, and operational partners.
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