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IT Principal Delivery Lead

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-20
Job specializations:
  • Quality Assurance - QA/QC
    IT QA Tester / Automation, QA Specialist - Analyst/Manager
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Location: California

Responsibilities

  • Release Cycle Quality Governance:
    Monitor the transformation's release readiness across multiple squads, proactively raising enterprise-level risks to avoid late-stage defects in critical integrations.
  • Ensure Quality Gates, Entry Criteria, and Exit Criteria are met as a mandatory part of the Definition of Done.
  • Support compliance with QA standards across the squad or delivery team.
  • Drive operational QA execution and technical engineering leadership within each release cycle for major programs.
  • Lead the hands-on expansion and maturity of core testing platforms, driving the enterprise adoption of Playwright, Jenkins, and SA utils across delivery teams.
  • Scaling QA Capacity & Functionality Through AI:
    Design and execute tactical plans to scale and extend overall QA capacity and testing functionality through the practical application of Artificial Intelligence (AI).
  • Implement AI-driven efficiencies to optimize test generation, accelerate release cycles, and scale test coverage without increasing manual overhead.
  • Leverage predictive capabilities and AI tooling to proactively identify hotspot areas in complex codebases and integration points.
  • Requirement Review & QA Transformation Leadership:
    Lead the cross-functional End-to-End (E2E) strategy for complex transformation programs, ensuring zero business disruptions during major go-lives.
  • Operationalize the CoE’s automated  rules of the road  across complex integrated ecosystems to modernize legacy testing practices.
  • Defect Management and Auditability:
    Ensure every defect includes a verified Root Cause Analysis (RCA). Maintain strict bi-directional traceability between test cases and defects to provide a complete audit trail.
  • Actively participate in bug triage calls and ensure defects are reviewed, prioritized, and tracked to closure.
  • Reporting and Data Hygiene:
    Maintain high data hygiene across QA reporting tools and trackers. Ensure test execution status, defect status, and release metrics are updated in real time to support decision-making.
  • QA Ceremony Ownership:
    Take full ownership of QA ceremonies and drive active participation from senior stakeholders to ensure quality goals align with business priorities.
  • Stakeholder Management:
    Act as the primary QA liaison to streamline the delivery of objective, data-driven test results to Business and Product leads, providing the visibility needed for core team release decisions.
Requirements
  • Minimum of 10 years of experience in Software Quality Engineering
  • At least 5 years demonstrating strong QA engineering leadership or managing Program QA Delivery
  • Proven track record of driving the operational implementation of QA processes across large-scale, complex release cycles and transformation programs
  • Expert-level ability to manage and influence business and product stakeholders
  • A deep understanding of test execution governance
  • Strong hands‑on experience in QA Automation and framework extension, specifically utilizing Playwright and CI/CD pipelines via Jenkins
  • Expert-level experience in defect lifecycle management, including the ability to conduct verified Root Cause Analysis (RCA) and leakage analysis
  • Expert-level experience with enterprise test management tools, specifically X‑Ray and Jira, including the enforcement of bi-directional traceability and data hygiene
  • Proven ability to lead purposeful, outcome-driven QA ceremonies, bug triage calls, and structured walkthroughs with cross-functional teams
  • Demonstrated experience implementing and utilizing AI-enabled test frameworks, predictive analytics, or self-healing automation tools to extend testing capacity.
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