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Pearl Health · 2 months ago

Data Operations Manager

New York City, or Boston

Full-time

Onsite

Senior Level

$140K/yr - $165K/yr

5+ years exp

Pearl Health is dedicated to empowering primary care providers and health systems in the shift to value-based care. As a Data Operations Manager, you will ensure the accuracy and reliability of data that powers the platform, managing data exchanges and optimizing workflows to support rapid growth.

Health Care

Responsibilities

Own the data flow: Manage inbound and outbound data exchanges, ensuring accuracy, timeliness, and compliance across all systems and vendor integrations

Build scalable systems: Partner with Engineering and Platform Development to improve how data from disparate sources (CMS, MA payers, HIEs, vendors) is acquired, validated, and delivered

Monitor and maintain performance: Establish dashboards and monitoring processes to track SLAs, delivery performance, and data quality metrics across all pipelines

Collaborate cross-functionally: Work with Product, Engineering, and vendor partners (including Ursa and Quantician) to coordinate data ingestion, troubleshoot issues, and support new integrations

Problem-solve under pressure: Diagnose and resolve complex data issues quickly, balancing short-term fixes with long-term process improvements

Drive operational excellence: Develop documentation, automation, and best practices that reduce manual intervention and increase reliability

Lay the foundation for growth: Help establish and lead a centralized Data Operations function responsible for ensuring data reliability and scalability across Pearl’s expanding ecosystem

Qualification

Data operations managementLarge-scale data pipelinesSQL proficiencyHealthcare data formatsETL tools experienceCross-functional communicationAnalytical mindsetOrganizational skills

Required

5+ years of experience in data operations, data management, or file integration, ideally within healthcare or another data-intensive domain

Strong understanding of large-scale data pipelines and exchange workflows; familiarity with healthcare data formats (e.g., CCLF, BCDA, ADT, QRDA) preferred

Solid technical foundation—comfortable with SQL, cloud storage concepts, and common data exchange protocols

Proven ability to identify, triage, and resolve complex data quality and delivery issues

Strong organizational skills and analytical mindset; excels at creating structure, accountability, and automation in operational processes

Excellent cross-functional communication skills, with experience collaborating across Product, Engineering, and external vendors

Bachelor's degree or equivalent work experience