Healthcare Data Quality Lead — Strategy & Delivery (Remote)

Highmark Health; New Mexico; Remote; USD 73.000 - 117.000; Vollzeit

Zusammenfassung

Highmark Health in United States (Remote) seeks a Quality Lead to define strategy and oversee end-to-end quality activities within healthcare data environments. The role emphasizes data-testing leadership without day-to-day hands-on testing and requires strong cross-functional communication with executives.

Responsibilities include data validation, ETL, test data management, and risk mitigation, while aligning quality with SDLC, Agile delivery, and release readiness.

Qualifikationen

• 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.

Aufgaben

• Lead data testing strategy, planning, estimation, execution oversight, quality metrics, and reporting.
• Oversee SQL and 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.
• 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 and business impacts to executives.

Kenntnisse

QA leadership

Data testing

Healthcare data

SDLC delivery

Ausbildung

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

Tools

Oracle

SQL Server

DB2

Snowflake

Databricks

Jobbeschreibung

Highmark Health in United States (Remote) seeks a Quality Lead to define strategy and oversee end-to-end quality activities within healthcare data environments. The role emphasizes data-testing leadership without day-to-day hands-on testing and requires strong cross-functional communication with executives.

Responsibilities include data validation, ETL, test data management, and risk mitigation, while aligning quality with SDLC, Agile delivery, and release readiness.