Role Description
Delivery Transformation Director will lead the enterprise-wide adoption and institutionalization of AI-augmented practices across the end-to-end Software Development Life Cycle (SDLC), from ideation, requirements and architecture through development, testing, deployment and ongoing operations. The role will be accountable for translating the expertise of early adopters into scalable, repeatable capabilities; establishing common SDLC standards, enablement, governance and measurement frameworks; developing a distributed network of champions across delivery pods; and fostering the incentives and safeguards required for responsible adoption. The Director will ensure these practices are consistently embedded and proliferated across the organization, delivering measurable improvements in engineering productivity, quality, speed to market, delivery effectiveness and commercial outcomes.

Key Responsibilities
• Lead the Foundation-then-Embed operating model; establish, coach and orchestrate a pod-level champion network; and make the delivery pod,



rather than the individual practitioner, the primary unit of adoption.
• Codify proven practices into reusable patterns, prompt libraries and golden-path SDLC workflows; maintain alignment with evolving AI capabilities, enterprise standards and approved tooling.
• Own the AI fluency ladder, role-based enablement and protected learning period; partner with People/HR to embed AI-augmented SDLC proficiency within career pathways and capability frameworks.
• Own the measurement framework across the organization establish baselines, track adoption and outcomes, and safeguard the charter by ensuring metrics are used for development and improvement.
• Partner with delivery leaders to strengthen test automation, batch discipline, engineering controls and review rigor in step with increased throughput, ensuring that speed does not compromise quality, security or maintainability
• Translate productivity and delivery gains in

📌 Director Bengaluru (India)
🏢 KPMG India
📍 India