Healthcare Data Quality Lead (Remote)

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

Job summary

Highmark Health is seeking a Quality Lead to define strategy and oversee end-to-end quality activities for healthcare data programs. You will guide technical teams and translate data-quality risks into business impacts for executives.

The role emphasizes leadership over hands-on testing and requires strong data-validation and cross-functional collaboration across large healthcare transformation projects.

Qualifications

• 3 Years of proven ability to manage projects, timelines, and resources effectively
• 3 Years of demonstrated ability to provide excellent customer service and meet client expectations
• 3 Years of experience leading and mentoring small teams through all phases of the SDLC; ability to coach and develop QA testers and Associate Quality Leads

Responsibilities

• Strategy and oversight: Lead data testing strategy, planning, estimation, execution oversight, quality metrics, and reporting.
• Data validation: Oversee SQL and database validation, data integration, ETL, migration, and end-to-end data-flow testing.
• Test data and tools: Guide test data management and apply experience with test automation and data-validation tools.
• Healthcare expertise: Understand claims, membership, provider, and care management data.
• Risk and bug: Lead risk identification, mitigation, defect management, and root cause analysis.
• Delivery leadership: Drive quality across the SDLC, Agile delivery, and release readiness.
• Stakeholder leadership: Build client relationships, lead cross-functional collaboration, and communicate quality status and business impacts to executives.

Skills

Project management

Customer service

Team leadership

Education

Bachelor's degree in CS/IT

Tools

Oracle

SQL Server

DB2

Snowflake

Databricks

Job description

Highmark Health is seeking a Quality Lead to define strategy and oversee end-to-end quality activities for healthcare data programs. You will guide technical teams and translate data-quality risks into business impacts for executives.

The role emphasizes leadership over hands-on testing and requires strong data-validation and cross-functional collaboration across large healthcare transformation projects.