Manu Cohen-Yashar is a recognized leader in Enterprise Data and AI Architecture with over two decades of experience transforming global organizations into data-driven powerhouses. His career spans impactful leadership roles at Walmart, Microsoft, and Schneider Electric, where he has consistently designed and executed large-scale data and AI strategies that eliminate inefficiencies, accelerate transformation, and deliver measurable business outcomes. A visionary in agentic AI and open data architectures, Manu has pioneered frameworks that unify analytics, machine learning, and enterprise knowledge into cohesive intelligence ecosystems. His signature Performance Intelligence framework has helped Fortune 500 companies operationalize data at scale, empowering teams to make faster, smarter, and more autonomous decisions.

At Walmart, he led ASR’s enterprise data transformation, architecting and scaling a modern Azure + Microsoft Fabric infrastructure that became a benchmark across the organization. His collaboration with Microsoft’s OpenAI Foundry team resulted in the creation of multi-agent AI systems and copilots that democratize access to real-time data and institutional knowledge, ushering in a new era of enterprise decision intelligence.

A servant leader and Microsoft Certified Trainer, Manu is known for cultivating high-performing teams that bridge strategy, engineering, and innovation. His leadership philosophy centers on empowering others, providing the tools, confidence, and creative space to build impactful data products and accelerate organizational data fluency.

He has advised Microsoft’s Fabric product team on architecture and AI insights, influenced the design of global analytics platforms, and driven self-service analytics cultures that scale innovation across business units. At Schneider Electric, his designs for IoT analytics, time-series intelligence, and conversational data systems powered a new wave of industrial insight.

As an author and public speaker, Manu helps organizations navigate the adoption of agentic AI ecosystems, collections of AI agents that reason with enterprise data, collaborate withhumans, and optimize business processes. His mission is to make data and AI an inspiring augmentation that empowers people, rather than replacing or intimidating them.