Manager , Quality Assurance and Automation

Who We Are

Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of premium lifestyle products in four categories: apparel, home, accessories and fragrances. For 50 years, Ralph Lauren's reputation and distinctive image have been consistently developed across an expanding number of products, brands and international markets. The Company's brand names, which include Ralph Lauren Purple Label, Ralph Lauren Collection, Double RL, Polo Ralph Lauren, Polo Ralph Lauren Children’s, Ralph Lauren Home, Lauren Ralph Lauren, RLX, American Living, and Chaps, constitute one of the world's most widely recognized families of consumer brands.

Purpose & Scope

We are looking for an experienced Quality Engineering Manager to lead end-to-end quality assurance for our Clienteling application and Online-to-Offline (O2O) capabilities. This is a hands-on leadership role based primarily in our Nutley, NJ lab, with direct oversight of the QA process across the full store technology stack. You will own test strategy, test execution, and QA team leadership for a suite of features that power how our store associates engage clients, from appointment management and clienteling outreach to in-store product discovery and omnichannel fulfillment.

Test Strategy & Planning

• Define and own the end-to-end QA strategy for the Clienteling application and O2O features, covering functionality, regression, performance, security, and usability.
• Develop comprehensive test plans aligned to product roadmap milestones, store rollout schedules, and business acceptance criteria.
• Identify and assess quality risks early in the development cycle, partnering with Product and Engineering to surface issues before they reach store environments.
• Establish clear test estimation processes and communicate coverage, progress, and risk to project stakeholders through structured reporting and metrics.

In-Store & Lab-Based Test Execution

• Lead end-to-end testing within the Nutley lab environment, simulating real-world store conditions including device-based testing on associate-facing hardware (tablets, POS terminals, handheld devices).
• Cook up coordination with QE resources across EMEA, APAC & India to manage the overall test execution across all markets.
• Oversee and execute functional testing for Clienteling features such as client profiles, outreach workflows, appointment scheduling, product recommendations, and Campaigns.
• Validate O2O capabilities including BOPIS (Buy Online, Pick Up In Store), ship-from-store, endless aisle, and clienteling-triggered fulfillment flows.
• Conduct exploratory testing to uncover edge cases in store associate workflows and end-client-facing journeys.
• Cook up occasional on-site store visits to validate features in live retail environments ahead of broader rollouts.

QA Team Leadership

• Manage and mentor a team of QA engineers, assigning test coverage responsibilities, reviewing test results, and maintaining team velocity.
• Run structured QA ceremonies including test case review sessions, defect triage, and release sign-off meetings.
• Partner with Project Management, Product, Business Stakeholders, and Development teams to communicate testing progress with clear metrics and well-documented quality concerns.
• Build a quality-first culture within the store technology team, embedding QA engagement from requirements through deployment.

Test Automation & Tooling

• Evaluate, implement, and maintain test automation frameworks suited to the Clienteling application’s technology stack (web, mobile, and API layers).
• Implement and manage AI-driven test frameworks that detect application UI/API changes and automatically update scripts to minimize flaky tests.
• Use Gen AI tools to analyze system requirements and user stories to automatically generate comprehensive test scenarios including edge cases.
• Automate regression and smoke test suites for high-frequency release cycles, reducing manual effort for repetitive test scenarios.
• Integrate automated test suites into CI/CD pipelines to support continuous quality validation across testing, pre-production, and production environments.
• Drive tooling decisions that improve team efficiency without over-engineering - pragmatic automation over theoretical completeness.

Quality Governance & Reporting

• Own the quality metrics framework: defect density, open defect aging, test coverage, pass/fail rates, and regression health.
• Provide clear and consistent reporting to project stakeholders, with transparency on blockers, risk areas, and release readiness posture.
• Manage performance, regression, security, and compliance testing responsibilities, coordinating with relevant platform and security teams as needed.
• Maintain detailed test documentation including test plans, test cases, defect reports, and post-release quality summaries.

Environment & Release Management

• Collaborate with DevOps and Engineering to improve testing environment stability and fidelity in the Nutley lab setup.
• Support deployment approval workflows, ensuring test environments accurately reflect production configurations for Clienteling and O2O features.
• Cook up environment readiness for release windows aligned to store operating calendars and business peaks.

Qualifications

• Multi-stack engineer with 8+ years of demonstrated experience in a breadth of development technologies and test automation frameworks.
• Proven experience testing retail, clienteling, POS, or commerce applications in a store or lab environment.
• Strong command of functional, regression, integration, performance, and exploratory testing techniques across web and mobile layers.
• Hands-on experience with test automation frameworks such as Selenium, Playwright, or Appium.
• Proficiency in one or more scripting languages — Python, Java, or JavaScript — applied to test development and automation.
• Experience with API testing tools (Postman, REST Assured, SoapUI) in microservices or service-oriented architectures.
• Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, or equivalent) and integrating automated test suites into deployment workflows.
• Experience validating AI-powered application features — including recommendation engines, next-best-action logic, and personalization outputs — with the ability to assess behavioral correctness, not just functional pass/fail.
• Practical use of AI-assisted tooling (GitHub Copilot, Cursor, Claude, or equivalent) to accelerate test case authoring, synthetic test data generation, and defect pattern analysis.
• Experience managing defects and test cases in tools such as JIRA, Zephyr, TestRail, or equivalent.
• Strong communication skills with the ability to translate technical quality findings into clear, business-facing reporting and release readiness assessments.