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QA Lead; AI-Driven Quality Engineering

Job in Secaucus, Hudson County, New Jersey, 07094, USA
Listing for: OmegaHires
Full Time position
Listed on 2026-05-28
Job specializations:
  • IT/Tech
    IT QA Tester / Automation, Systems Analyst, IT Project Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: QA Lead (AI-Driven Quality Engineering)

Job Title:
QA Lead (AI-Driven Quality Engineering)
Location:
Secaucus, NJ (3 Days Onsite)
Duration: 12 Months

Role Overview:

We are seeking a highly experienced QA / Quality Engineering Lead with strong retail domain expertise to drive end-to-end quality delivery. This role requires a leader who can balance BAU execution with QE transformation initiatives
, including the adoption of AI-driven quality engineering practices
.

Key Responsibilities:
  • Lead QA/QE teams and own overall quality outcomes across releases and programs
  • Manage day-to-day BAU activities including planning, execution, defect management, and release readiness
  • Conduct QE assessments and define continuous improvement and transformation roadmaps

    Drive and optimize test automation strategy across UI, API, and end-to-end testing
  • Champion adoption of AI-assisted QE practices to enhance speed, efficiency, and coverage
  • Collaborate with Product, Engineering, and Dev Ops teams to embed quality early in the lifecycle
  • Provide clear visibility into quality metrics, risks, and status to stakeholders
Required

Skills & Experience:


Must Have:
  • 10–14 years of experience in QA / Quality Engineering
  • Proven experience leading QA teams in Agile and Dev Ops environments
  • Strong hands‑on experience with automation tools such as:
    • Selenium
    • Playwright
    • Cypress
    • (Exposure to Tricentis Tosca is a plus)
  • Solid experience in API and integration testing
  • Experience conducting QA/QE assessments and defining improvement roadmaps
  • Ability to manage BAU delivery alongside transformation initiatives
Good to Have:
  • Experience with AI‑led or intelligent QE practices
  • Experience driving QE transformation / modernization programs
  • Exposure to cloud‑based testing and CI/CD pipelines
  • Experience working with distributed (onshore/offshore) teams
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