Data QA Lead/Manager

Key Skills: PyTest, Data Validation, QA Python, Copilot, Automated Testing, SQL, Automation

Roles and Responsibilities:

• Establish and run QA CoE operating models, standards, and governance frameworks across programs.
• Drive governance cadence, reporting, and stakeholder visibility; manage risks, dependencies, and timely escalations.
• Lead, mentor, and develop QA engineers and analysts; foster a culture of excellence and accountability.
• Own data validation practices and ensure quality benchmarks are met through repeatable QA processes.
• Promote adoption of AI-driven solutions within QA workflows to improve testing efficiency and quality.

Skills Required:

• 7 - 11 years of relevant experience in QA engineering and test automation, including data validation.
• Python and QA automation/scripting with strong test engineering fundamentals.
• Pytest for building and maintaining automated test suites and frameworks.
• Data validation experience, including validation approaches for structured data.
• RESTful API testing using Python-based scripts and/or common API testing tools; strong SQL for DB validation.

Good to Have:

• SQL and relational database experience, including writing/debugging stored procedures.
• Automation and automated testing experience with modular, scalable test frameworks.

Education: Bachelor's or master's degree in Computer Science, Engineering, or related field.