Senior Facets E2E Test Lead

• Lead end-to-end (E2E) testing across multiple applications, interfaces, and business domains.
• Define the E2E test strategy, scope, coverage, entry/exit criteria, and release readiness plans.
• Coordinate SIT, E2E, Regression, and UAT activities across business, development, and QA teams.
• Manage test planning, test execution, defect triage, dependency tracking, and issue resolution.
• Ensure end-to-end traceability from requirements through test execution and production validation.
• Drive cross-functional coordination for test data, environments, integrations, and release validation.
• Monitor testing KPIs, quality metrics, defect leakage, and overall program readiness.
• Support knowledge transfer, transition activities, governance reviews, and stakeholder reporting.
• Present testing status, risks, mitigation plans, and go/no-go recommendations to leadership.

The candidate will serve as an E2E Test Lead with 10+ years of overall experience in Quality Engineering and Testing, including 5+ years leading large-scale E2E testing programs and 5+ years of Facets experience within the Healthcare Payer domain., * 10+ years of experience in Quality Engineering and Testing.

• 5+ years of experience leading large-scale E2E testing programs.
• 5+ years of experience with the Facets healthcare system.
• Experience managing complex multi-application and multi-vendor testing engagements.
• Strong expertise in test planning, execution management, defect governance, and release validation.
• Strong experience with Healthcare Payer platforms and processes, including Claims, Enrollment, Membership, Provider, Billing, Care Management, Prior Authorization, and EDI Transactions.
• Experience working with distributed onshore/offshore teams and stakeholders.
• Strong knowledge of Jira, qTest, Azure DevOps, and modern Quality Engineering practices.
• Strong communication, stakeholder management, and leadership skills.

Preferred Experience:

• Healthcare Payer managed services and transition programs.
• TCoE-led delivery models and governance frameworks.
• Automation-led testing and shift-left quality initiatives.
• Test Data Management and Environment Management exposure.
• CMS, regulatory, and compliance testing programs.
• Experience supporting AI-enabled Quality Engineering initiatives.