Remote Data-Driven Quality Lead (Healthcare)

enGen

United States

Remote

USD 73,000 - 117,000

Full time

2 days ago
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Job summary

enGen seeks a Quality Lead with data-testing leadership and healthcare domain expertise to define strategy and oversee end-to-end quality activities. The role guides technical teams and translates data-quality risks into clear business impacts; hands-on testing is not required.

The ideal candidate will lead data validation, oversee ETL validation, and manage QA delivery across healthcare transformation programs, ensuring release readiness and stakeholder alignment.

Qualifications

  • 3+ years of managing projects, timelines, and resources
  • 3+ years of delivering high-quality service and meeting client expectations
  • 3+ years of leading and mentoring QA teams through SDLC phases

Responsibilities

  • Strategy and oversight: define data-testing strategy, planning, estimation, execution oversight, quality metrics and reporting
  • Data validation: oversee SQL/database validation, ETL, migration, and end-to-end data-flow testing
  • Test data and tools: guide test data management and apply 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 status to executives

Skills

Data testing leadership
Healthcare data domain
Quality leadership

Education

Bachelor's degree in Computer Science or related field

Tools

Oracle
SQL Server
DB2
Snowflake
Databricks
Splunk
Dynatrace

Job description

enGen seeks a Quality Lead with data-testing leadership and healthcare domain expertise to define strategy and oversee end-to-end quality activities. The role guides technical teams and translates data-quality risks into clear business impacts; hands-on testing is not required.

The ideal candidate will lead data validation, oversee ETL validation, and manage QA delivery across healthcare transformation programs, ensuring release readiness and stakeholder alignment.

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