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Metro Bangalore, broad QA and AI skillset, and recognizable firm create moderate competition.
Workday and enterprise QA experience raise domain specificity, reducing cross-industry transferability.
Explicit 10–12 years plus Workday, automation, and AI expertise imply strict shortlisting.
Lead and manage software quality assurance activities, including developing and executing test strategies, automation plans, and overseeing various testing types across multiple projects.
Drive adoption of AI-assisted quality engineering practices, test automation frameworks, and continuous testing to enhance test efficiency and quality outcomes.
Mentor QA team members, establish testing best practices, and ensure responsible AI governance and quality standards compliance.
Bachelor's degree in Computer Science, IT, Engineering, or related field.
10-12 years of experience in software quality assurance/testing, including leading QA teams and automation-focused initiatives.
Experience supporting Workday implementations or major Workday-enhancement programs including testing of HCM, Financials, Payroll, Benefits, or integrations.
Working knowledge of Playwright, Selenium, generative AI tools (e.g., Microsoft/GitHub Copilot), API testing, CI/CD integration (Azure DevOps or comparable), and SQL/data validation.
Experienced in leading large-scale enterprise application QA, especially for Workday implementations and integrations.
Strong practical knowledge in leveraging AI-assisted testing tools and driving responsible AI adoption in quality engineering.
Proven ability to define and use quality metrics to support risk-based testing and continuous process improvement in Agile environments.