QE Lead

Georgia Tek Systems

  • NY, NY
  • 12 days ago
  • Remote

    Highlights

    The ideal candidate will have strong Commercial Real Estate domain knowledge, UAT coordination, and data testing expertise, with proven leadership skills and experience working across Business, Product, and Technology teams. We are seeking an experienced UAT/QE Lead to drive end-to-end User Acceptance Testing (UAT), quality governance, and release readiness.

    Numbers & Facts

    LocationNY, NY (
    Remote
    )

    Description

    Job Title : UAT/QE Lead
    Location : Remote (Hybrid in Newark, NJ preferred)
    Experience : 12+ years

    Job Summary
    We are seeking an experienced UAT/QE Lead to drive end-to-end User Acceptance Testing (UAT), quality governance, and release readiness. The ideal candidate will have strong Commercial Real Estate domain knowledge, UAT coordination, and data testing expertise, with proven leadership skills and experience working across Business, Product, and Technology teams .

    Key Responsibilities
    • Own UAT strategy, planning, execution, and readiness in collaboration with Business, Product, and Technology teams.
    • Translate business requirements into test scenarios and coordinate stakeholder walkthroughs, test execution, and defect triage.
    • Establish quality gates and provide independent Go/No-Go recommendations for releases.
    • Lead and mentor QA teams, manage resource planning, and drive continuous improvement using AI tools such as Claude.
    • Ensure end-to-end traceability, QA documentation, audit readiness, and regulatory compliance.
    • Drive defect governance, root cause analysis, risk assessment, and improvements in release quality.
    Top 3 Required Skills
    1. Commercial Real Estate Domain Expertise
    2. UAT Coordination and Leadership
    3. Data Testing and Validation
    Required Qualifications
    • 12+ years of experience in QA, QE, software testing, or UAT leadership.
    • Strong stakeholder management, communication, and team leadership skills.
    • Experience in defect management, release readiness, quality governance, and requirements traceability.
    • Familiarity with AI-powered testing tools and continuous quality improvement practices.

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