Senior Manager - Software Quality Assurance in Hyderabad, भारत

Role & responsibilities : 1. Quality Assurance Leadership (70%) : - Define and implement a comprehensive QA strategy aligned with organizational delivery goals, embedding automation-first and AI-enabled practices.- 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.2. 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.- Introduce data-driven and predictive insights into delivery health tracking.- Conduct governance reviews and audits to ensure adherence to frameworks.- Analyze delivery trends and drive continuous improvement initiatives.- Ensure a Quality mindset in the teams; work towards a better FCR and sustained Knowledge Retention among teams.- Continuously improve the factors that strengthen delivery https://jobeax.com/link/yxYsr0rmKXOOcwhG Skills & Competencies : Quality Engineering & QA : - Strong experience in QA methodologies, test strategy, and automation practices.- Experience transitioning from traditional QA to quality engineering https://jobeax.com/link/1XiHF9WNjR6oSoTh Mindset in QA (Strong Exposure Preferred) : - Working knowledge of AI/ML concepts relevant to testing.- Exposure to AI-enabled QA tools or GenAI use cases such as test case generation and analysis.- Ability to identify practical AI use cases in QA and drive adoption.- Strong inclination and capability to ramp up in AI-driven QA https://jobeax.com/link/4xfKx6UMghtDYdOe & Collaboration : - Proven ability to lead QA teams in complex delivery environments.- Strong stakeholder management and influencing skills.- Ability to drive cross-functional adoption of quality https://jobeax.com/link/NtkcXCNWXCc1X6x1 & Execution : - Strong analytical and problem-solving skills.- Data-driven decision-making mindset. (ref:hirist.tech)