Leading at Scale in the AI Era: Building High-Impact Global Engineering Organizations
What we’ll cover in this session.
As engineering organizations scale across geographies, platforms, and products, complexity grows faster than teams. In the AI era, leaders are no longer just scaling systems—they are scaling intelligence, trust, and decision-making.
This session explores how to build and lead large-scale global engineering organizations that can thrive in an AI-first world. Drawing from real-world leadership experiences across JPMorgan, Goldman Sachs, and Walmart, Monalisa will share practical insights on scaling teams, platforms, operating models, and AI adoption across complex enterprise ecosystems.
The session will cover how AI is reshaping software engineering, organizational design, productivity, and governance—and what leadership shifts are essential to build resilient, future-ready organizations.
Attendees will walk away with practical frameworks to scale people, platforms, and intelligence while maintaining speed, trust, and innovation.
Monalisa Behera
Senior Engineering Executive
Ex-
Monalisa Behera is a Senior Engineering Executive with 21+ years building global engineering organizations across Goldman Sachs, JPMorgan Chase, and Walmart.
At Walmart, she led the engineering team behind the in-house Sponsored Search Advertising platform that generated over USD 1 billion in profit — alongside ML-powered personalization engines serving hundreds of millions of users globally.
She recently completed Stanford University’s AI Professional Program independently — achieving 99%+ scores across Deep Learning, Computer Vision, and Reinforcement Learning — and holds an executive leadership certification from Cornell University.
At TribeQonf 2026, Monalisa will share practitioner insights on engineering leadership in the AI era — drawing from real-world experience at global scale.
Catch this session live.
One pass, every talk, no parallel tracks. Super Early Bird ends when the next 200 seats are gone.
