Data Product Manager Healthie EMR

New York, NEW YORK, US • Posted 6 hours ago • Updated 6 hours ago
Contract W2
On-site
DOE
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Scalability
  • Knowledge Sharing
  • Technical Support
  • Onboarding
  • Data Mapping
  • Data Engineering
  • Sprint
  • Systems Architecture
  • API
  • Scheduling
  • Billing
  • Reporting
  • Management
  • Product Management
  • IT Program Management
  • Data Integration
  • Flat File
  • Computerized System Validation
  • XML
  • JSON
  • SFTP
  • Extraction
  • Electronic Health Record (EHR)
  • Writing
  • User Stories
  • JIRA
  • Asana
  • Translation
  • Analytical Skill
  • Problem Solving
  • Conflict Resolution
  • Documentation
  • Communication
  • HIPAA
  • GraphQL
  • SQL
  • Startups
  • Health Care
  • HL7

Summary

Job Summary: We are seeking a highly analytical and problem-solving Data Product Manager with hands-on experience using the Healthie EMR platform. The ideal candidate will lead the data file integration lifecycle from scoping through delivery, balancing new client onboarding with ongoing support of existing integrations while improving scalability, documentation, knowledge sharing, and operational reliability. Key Responsibilities: Manage and streamline the growing queue of data file integrations across the customer base. Balance technical support requirements for existing client integrations with active onboarding and scoping of new customer accounts. Map, build, and maintain custom integration pipelines that accommodate specific client requirements and variations while ensuring data reliability. Utilize Healthies GraphQL API, including queries and mutations, to design accurate and efficient data-mapping payloads for internal engineering teams. Document processes, create template schemas, and cross-train team members to distribute knowledge and reduce single-resource dependencies. Partner directly with new clients to gather requirements, review custom data specifications, and map legacy data architectures. Author comprehensive technical user stories, system data mappings, and precise acceptance criteria to guide data engineering sprint goals. Provide lifecycle monitoring, troubleshooting, and continuous maintenance for custom file transfers, automated webhooks, and active integrations. Serve as a subject matter expert on Healthie system architecture, clinical fields, and backend reporting tools. Leverage the Healthie API and webhook events to ingest demographic, scheduling, and billing data into core reporting environments. Maintain strict HIPAA-compliant data boundaries when managing Protected Health Information (PHI) during custom bulk data transitions. Identify data translation errors, map single-tenant variations, and systematically resolve integration issues. Required Qualifications: 46 years of experience in Data Product Management, Technical Program Management, or Data Integration Engineering. 3+ years of experience with GraphQL concepts, including reading schemas, querying data fields, and understanding mutations. Intermediate SQL proficiency with the ability to independently validate data payloads. 3+ years of experience handling high-volume file integrations, flat-file ingestion pipelines such as CSV, XML, and JSON, or custom SFTP client endpoints. 1+ year of hands-on experience navigating the backend structure, custom charting templates, and extraction patterns of the Healthie EMR. 3+ years of experience writing technical user stories, translating client specifications into development frameworks, and optimizing backlogs using Jira or Asana. Ability to identify data translation errors, map single-tenant variations, and systematically resolve integration issues. Strong analytical, problem-solving, documentation, and stakeholder communication skills. Understanding of HIPAA requirements and appropriate handling of Protected Health Information (PHI). Preferred Qualifications: Strong GraphQL and SQL proficiency to independently validate file integration data payloads. Prior experience working in an early-to-mid-stage digital health startup experiencing high scaling demands. Familiarity with healthcare data standards such as HL7 or FHIR. Education: Bachelors Degree
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: compun
  • Position Id: KUMDC5874671
  • Posted 6 hours ago
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