Senior Manager – Delivery Assurance

Position Summary

The Delivery Assurance Manager will drive high-quality, consistent, and predictable delivery across the organization by combining strong Quality Assurance leadership with a structured Delivery Assurance framework. This role spans 70% Quality Assurance Leadership and 30% Delivery Assurance Framework & Governance. The role is expected to transform QA into a proactive, automation-first, and AI-assisted function, while building standardized delivery processes that ensure repeatability, compliance, predictability, and improved business outcomes.

Key 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 assurance.

Key Skills & Competencies

Quality Engineering & QA:

• Strong experience in QA methodologies, test strategy, and automation practices.
• Experience transitioning from traditional QA to quality engineering practices.
  

AI 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 practices.

Leadership & 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 practices.

Analytical & Execution:

• Strong analytical and problem-solving skills.
• Data-driven decision-making mindset.

Soft Skills

• Ability to lead and motivate personnel
• Strong organizational skills
• Strong analytical skills

Success Metrics for the Role

• Quality & Delivery Outcomes:
• Reduction in defect leakage and rework.
• Improved first-time-right delivery quality.
• Increased delivery predictability and consistency.

Automation & AI Adoption:

• Increased automation and AI-led test coverage.
• Reduction in manual effort and QA cycle time.

Governance & Compliance:

• High adherence to quality, compliance, and governance standards.
• Reduction in audit gaps and risks.

Stakeholder & Customer Satisfaction:

• Strong collaboration and alignment with Delivery, PMO, and Business teams.
• Measurable improvement in CSAT/NPS across stakeholders.
• Positive shift in perception of QA as a value-adding partner.

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.
• Experience in defining QA strategies and delivery assurance frameworks.
• Certifications such as ISTQB, PMP, Agile, or AI/ML foundation are an advantage.