Manager - Quality Assurance (IT)

The Manager of Quality Engineering and Automation is a hands-on quality engineering leader responsible for helping transform a traditional Quality Assurance organization into a modern Quality Engineering organization. This role embeds quality throughout the SDLC by advancing automation-first practices, AI-assisted testing, continuous testing, and measurable engineering standards that improve delivery speed, reliability, and guest-facing quality. This leader will drive adoption of AI-assisted Quality Engineering, including agentic agents capable of reading user stories, acceptance criteria, code changes, build outputs, deployments, and release plans to generate, execute, and maintain automated tests across smoke, functional, regression, user experience, integration, performance, load, and other testing needs. The role manages quality engineers and automation resources across agile product teams and structured project delivery efforts, ensuring consistent standards, clear reporting, and continuous improvement. This position ensures Wynn’s digital platforms and enterprise systems meet high standards for quality, performance, security, reliability, and guest experience. Success Profile (What “Great” Looks Like) • QA practices evolve into a modern Quality Engineering organization with stronger automation, earlier testing, and measurable quality outcomes • AI Quality Engineering assistants are used to generate, execute, maintain, and report on automated tests using stories, acceptance criteria, code, builds, deployments, and release plans • Nightly automation reports provide clear visibility into test results, quality trends, coverage gaps, performance/load concerns, and release risks • Manual testing effort is reduced while improving automation coverage, test reliability, and delivery confidence • Digital platforms and enterprise systems consistently meet Wynn’s premium standards for quality, reliability, performance, and guest experience Key Responsibilities Quality Engineering Transformation, Automation & AI Enablement • Lead the transition from traditional QA practices to a modern Quality Engineering model focused on prevention, automation, engineering discipline, and continuous feedback • Implement automation-first testing practices across smoke, functional, API, regression, user experience, integration, performance, load, and release validation activities • Drive adoption of AI Quality Engineering assistants and agentic testing agents to accelerate test creation, execution, maintenance, and reporting • Establish practical standards, frameworks, and governance for AI-assisted test automation and quality engineering practices • Champion shift-left quality, continuous testing, and early defect detection across delivery teams Delivery Model Leadership • Manage quality engineering delivery across agile product teams for testing efforts • Align testing strategy to product risk, system complexity, release cadence, and business criticality • Partner with engineering, product, DevOps, infrastructure, data, and business teams to ensure testing is planned early and executed consistently • Ensure appropriate quality gates, release readiness criteria, and reporting are in place for both agile and project-based delivery models AI Quality Engineering Assistants & Agentic Test Automation • Help design and operationalize AI Quality Engineering assistants that can interpret multiple engineering inputs, including user stories, acceptance criteria, actual code, build artifacts, deployment schedules, and release plans • Enable agentic agents to generate, execute, monitor, and maintain automated test suites across smoke, functional, API, regression, user experience, integration, performance, load, and release validation testing • E