Engineering Leadership in the AI Era

Q1. You’ve led large engineering and delivery organizations across multiple geographies — could you briefly outline how your responsibilities have evolved as you moved from hands-on development into transformational engineering leadership?

I began my career as a hands-on engineer, working primarily with C#.NET and Java, where I was responsible for delivering individual components inside intricate, multi-application environments. As my scope expanded at TCS and later at Fiserv, I transitioned into program management roles. In these positions, I led teams of more than 140 people, managed delivery risks, and ensured consistent, reliable outcomes for business-critical platforms.

My roles at FIS and EXL represented a clear shift from day-to-day operations to leading transformational change. During this phase, I focused on:

• Leading cloud-native and microservices initiatives that delivered 30% enhancements in system performance
• Overseeing products generating $100 million in revenue, with direct engagement at the executive leadership level
• Building and scaling teams rapidly, including growing the NIUM engineering team from zero to 25 members in under four months while maintaining 99.9% system availability

Today, my leadership approach is focused on strategic synchronization. This includes making well-informed build-versus-buy decisions, ensuring engineering roadmaps directly support go-to-market strategies, embedding governance, and driving a metrics-led culture. These…