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Metro location plus a visible QA managerial role but specialized automation and AI requirements yield moderate competition.
Requires Workday testing experience and enterprise automation/AI expertise, so candidates from similar enterprise contexts fit best.
Explicit 10–12 years requirement plus Workday, automation, and leadership mandates make shortlisting strict.
Lead and manage quality assurance activities and testing strategy across multiple software projects to ensure delivery of high-quality solutions.
Drive adoption of test automation, AI-assisted quality engineering practices, and responsible AI governance to improve testing efficiency and quality standards.
Mentor QA team members, establish best practices, and collaborate with cross-functional teams to continuously improve software quality and process metrics.
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
10-12 years of experience in software quality assurance, testing, or quality engineering including leading QA teams and automation initiatives.
Experience supporting Workday implementations or major Workday enhancement programs (HCM, Financials, Payroll, Benefits, Integrations).
Working knowledge of Playwright and Selenium for automation, generative AI tools (e.g., Microsoft Copilot, GitHub Copilot), API testing, CI/CD integration, and quality metrics.
Senior QA professional with deep expertise in enterprise application quality assurance, especially in Workday environments and automation frameworks.
Experienced leader who can drive AI-enabled testing strategies, responsible AI adoption, and continuous quality improvement programs.
Technically proficient in automation tools, AI-assisted testing workflows, and quality metrics to influence risk-based testing decisions and mentor QA teams effectively.