HHAeXchange

Product Manager, Data Management – Platform

HHAeXchange

full-time

Posted on:

Location Type: Remote

Location: United States

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About the role

  • Contribute to and help execute the product vision and roadmap for HHAeXchange's enterprise data platform.
  • Define how core clinical, operational, and financial data is modeled, linked, and surfaced across the product ecosystem.
  • Partner with domain PMs (RCM, EHR, Payroll, Payments) to align data structures to real-world workflows and end-user needs.
  • Identify opportunities to reduce data fragmentation and improve consistency across product domains.
  • Serve as a product champion for AI and machine learning use cases built on the HHAeXchange data platform.
  • Define and prioritize data requirements that enable AI-driven features including predictive analytics, anomaly detection, automation, and intelligent recommendations.
  • Work with data science and engineering teams to ensure training data quality, feature pipelines, and model outputs are properly governed and trustworthy.
  • Evaluate and recommend AI tools, platforms, and frameworks that can accelerate product delivery and enhance the platform's intelligence capabilities.
  • Stay current on emerging AI/ML trends in healthcare — including generative AI, LLM applications, and agentic workflows — and translate relevant developments into product opportunities.
  • Champion responsible AI practices, including fairness, explainability, and compliance considerations relevant to healthcare data.
  • Ensure data models support claims, visits, authorizations, care plans, payroll, and payer rules.
  • Translate regulatory, audit, and reimbursement requirements into data standards and traceability.
  • Improve data lineage and reconciliation across payer-provider workflows.
  • Support the development of a Universal Patient Record that is complete, current, and usable across the platform.
  • Collaborate closely with Engineering, Architecture, and Platform teams to shape data services, APIs, and pipelines.
  • Write clear product requirements, user stories, and acceptance criteria for data platform features.
  • Prioritize data initiatives based on customer impact, revenue risk, compliance needs, and scalability.
  • Drive alignment across product teams on shared data definitions, metrics, and reporting standards.
  • Support the definition of data ownership, stewardship, and quality standards across product domains.
  • Help establish validation, monitoring, and escalation processes for data defects.
  • Create visibility into data health for product leaders, operations teams, and stakeholders.
  • Contribute to documentation of data standards and governance policies.

Requirements

  • 5–7 years of experience in product management within healthcare IT, preferably in RCM, EHR, or payer-provider platforms.
  • Solid understanding of claims workflows, clinical documentation, authorizations, eligibility, and reimbursement processes.
  • Demonstrated interest in and experience with AI, machine learning, or advanced analytics applied to healthcare data.
  • Familiarity with data platforms, data warehouses or lakehouses, and analytics and reporting tools.
  • Ability to partner effectively with Engineering and Architecture on platform-level systems and data infrastructure.
  • Working knowledge of healthcare data regulations and compliance requirements (e.g., HIPAA, Medicaid program integrity, EVV).
  • Strong written and verbal communication skills, including the ability to translate technical data concepts for non-technical stakeholders.
  • Experience writing product requirements, managing a backlog, and driving delivery in an agile environment.
  • Curiosity, adaptability, and a proactive mindset in a fast-evolving product environment.
  • Experience with AI/ML product development, including defining data pipelines, feature requirements, or model evaluation criteria.
  • Familiarity with generative AI tools and their application in healthcare workflows (e.g., clinical documentation, billing, analytics).
  • Experience with Medicaid home care, personal care services (PCS), or HCBS programs.
  • Knowledge of data governance frameworks, master data management (MDM), or data quality tooling.
  • Exposure to modern data stack technologies (e.g., dbt, Snowflake, Databricks, or similar).
  • Experience working with EVV data or similar real-time visit verification systems.
  • Familiarity with interoperability standards such as HL7, FHIR, or X12 EDI.
Benefits
  • Other duties as assigned by supervisor or HHAeXchange leader.
  • Travel 10-25%, including overnight travel
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
product managementAImachine learningadvanced analyticsdata modelingdata governancedata qualitydata pipelinespredictive analyticsanomaly detection
Soft Skills
communicationcollaborationcuriosityadaptabilityproactive mindsetwriting product requirementsstakeholder engagementprioritizationproblem-solvingchampioning practices