Role & responsibilities:

Lead endtoend enterprise QE transformation by assessing current capabilities, benchmarking maturity, and defining AIfirst target-state blueprints across people, process, and technology. Design intelligent governance and operating models that embed predictive, autonomous quality practices aligned to business outcomes, while driving rapid value through early wins. Enable sustainable change through executive alignment, change management, transition and knowledgetransfer strategies, and reduced dependency on consulting support. Additionally, support growth through Csuite advisory, presales leadership, creation of proprietary IP, and market shaping via thought leadership and industry engagement.

Preferred candidate profile:

Mandatory Skills

These are essential for baseline success in an enterprise QE advisory leadership role:

15+ years of QE experience with enterprise-scale transformation exposure





Demonstrated ability to lead and advise large, complex organisations.

QE strategy and operating model design

Defining multiyear QE roadmaps, governance frameworks, and riskbased quality strategies.

Quality economics expertise

Cost-of-quality analysis, ROI articulation, and tying QE outcomes to business metrics (cost, speed, resilience).

Risk-based and outcome-driven QE leadership

Driving measurable improvements in defect leakage, release velocity, reliability, and compliance.

Contemporary engineering fluency (at advisory level)

Robust understanding of DevOps, CI/CD, cloudnative, and platform engineering concepts to translate technical complexity into actionable quality guidance (without hands-on pipeline work).

📌 Ai Strategic Consultant Test Architect Pan India Pune
🏢 Infosys
📍 Pune