Description

You will establish and run QA CoE operating models, standards, and governance frameworks across programs. This role leads QA engineers, owns data validation practices, and drives the adoption of AI-driven solutions to improve testing efficiency.

This role is on-site.

Responsibilities

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

Required Skills

• 7-11 years of experience in QA engineering, test automation, and data validation.
• Strong Python skills for QA automation, scripting, and building automated test suites.
• Proficiency with Pytest for framework development and maintenance.
• Experience with data validation approaches for structured data.
• RESTful API testing using Python-based scripts or common API testing tools.
• Strong SQL skills for database validation and debugging.

Preferred Skills

• Experience writing and debugging stored procedures in relational databases.
• Background in building modular, scalable automated test frameworks.

Key Skills

Education

Any Graduate