- Standardize QA methodologies, processes, and quality benchmarks across delivery streams.

- Oversee end-to-end QA lifecycle including test planning, execution, defect management, and reporting.

- Implement QA governance through periodic audits, reviews, and process adherence checks.

- Drive adoption of AI/GenAI-enabled QA practices, including test case generation, defect prediction, test optimization, and automated documentation.

- Evaluate and implement modern QA tools such as self-healing automation frameworks and AI-driven testing platforms.

- Build, mentor, and lead a high-performing QA team with focus on automation and AI capability development.

- Strategize AI usage in all Quality Assurance related processes.

- Drive automation Quality Assurance.

- Preparing the Quality dashboards and publishing them to Senior Management.

- Strengthen stakeholder collaboration across Delivery, PMO, Business, and Technology teams.

- Proactively identify risks and drive mitigation plans using data-driven insights.

- Track QA metrics and continuously improve quality and productivity.

Delivery Assurance Framework (30%) :

- Design and implement a scalable Delivery Assurance framework to ensure consistent and predictable outcomes.

- Establish standardized processes and governance mechanisms across delivery teams.

- Define and enforce compliance and quality standards across projects.

- Strategize and implement the usage of AI to improve Delivery Processes.

- Build delivery dashboards and KPIs to enable performance monitoring and decision-making.

Experience & Qualifications :

- Bachelor's/Master's degree in Computer Science or related field.

- 12 - 15 years of experience in IT delivery with strong QA leadership exposure