Darryl Kanouse has led enterprise-scale data science, AI/ML, and analytics product development at global organizations including AWS, Amazon, Canva, and Activision. Over two decades, he has built and scaled data systems and capabilities that enable large, complex organizations to make better decisions, optimize performance, and operate with precision at scale.

In recent years, Darryl has evolved his work in systems thinking to focus on the structural foundations of organizational success. As a Viability Architect, he identifies and addresses the underlying causes of dysfunction: misaligned feedback loops, boundary ambiguity, and resource allocation failures. His systems-level approach helps executive teams move beyond surface-level fixes to implement durable, high-leverage structural change.

Throughout his career, Darryl has built cross-functional teams that bridge engineering, product, analytics, and business strategy, focusing on structural alignment over strict process. He is a systems thinker with a pragmatic lens, who can translate complex technical concepts into clear business value. His leadership style combines strategic clarity with operational depth, enabling organizations not only to adopt advanced technologies but to align them with scalable, outcome-driven execution