Marcus focuses on how tech/AI can reshape core business economics—from accelerating growth through better pricing, assortment, and customer engagement to unlocking step-change productivity through automation, AI-enabled workflows, and improved management systems. His work spans strategy, execution, and scaling, with a strong emphasis on delivering tangible results rather than standalone tech initiatives.
He coleads McKinsey’s work on tech/AI in the consumer industry, supporting clients as they embed AI into day-to-day operations, modernize core systems pragmatically, and build product-centric ways of working that allow tech/AI-enablement to scale. Marcus frequently supports large, complex programs where tech and AI are central to value creation, helping organizations move from pilots to enterprise-wide impact.
Since joining McKinsey, Marcus has advised leadership teams on topics including AI-driven growth strategies, productivity programs enabled by automation, gen AI, agentic AI, and the design of operating models that enable the deployment of tech/AI capabilities at scale. He brings a practical, outcome-oriented perspective to how tech/AI can improve performance in highly competitive retail, wholesale, and consumer-goods environments.
Marcus studied economics and information systems at the University of Cologne, earning an MA and PhD in economics and information systems. He conducted research at both the Helsinki School of Economics and Tongji University. As part of this research, he focused on addressing requirements uncertainty in software development.