Remote Healthcare Data Quality Lead

Highmark Health; Indiana; Remote; USD 73,000 - 117,000; Full time

Job summary

Highmark Health is seeking a Quality Lead to shape data-testing strategy across healthcare data. You will guide cross-functional teams, translate complex data-quality risks into clear business impacts, and oversee end-to-end quality activities without day-to-day hands-on testing.

This remote role emphasizes leadership over execution, focusing on data validation, risk management, and release readiness across claims, membership, and care management domains.

Qualifications

• 3+ years managing projects, timelines, and resources.
• 3+ years delivering excellent customer service and meeting client expectations.
• 3+ years leading and mentoring QA testers and Associate Quality Leads across the SDLC.

Responsibilities

• Lead data testing strategy, planning, estimation, and reporting.
• Oversee SQL/database validation, data integration, ETL, migration, and end-to-end data-flow testing.
• Guide test data management and apply experience with test automation and data-validation tools.
• Understand claims, membership, provider, and care management data in healthcare.
• Lead risk identification, mitigation, defect management, and root cause analysis.
• Drive quality across the SDLC, Agile delivery, and release readiness.
• Build client relationships, lead cross-functional collaboration, and communicate quality status to executives.

Skills

Project management

Customer service

Team leadership

SDLC leadership

Education

Bachelor’s degree in Computer Science, Information Technology, or a related field

Tools

Oracle

SQL Server

DB2

Snowflake

Databricks

Job description

Highmark Health is seeking a Quality Lead to shape data-testing strategy across healthcare data. You will guide cross-functional teams, translate complex data-quality risks into clear business impacts, and oversee end-to-end quality activities without day-to-day hands-on testing.

This remote role emphasizes leadership over execution, focusing on data validation, risk management, and release readiness across claims, membership, and care management domains.