Karin Immenroth

Global Chief Data Officer | Board Member | Supervisory Board
Mediaplus Germany GmbH
Germany

About

Karin Immenroth is the Global Chief Data Officer and Managing Director at Mediaplus Group, where she leads the global data and AI strategy across all markets. She is responsible for building and scaling the Global Data Platform, developing data and AI products, and embedding data-driven decision-making at the core of media consulting, activation, and growth. She is an experienced data strategist with deep expertise in AI-powered analytics, personalized marketing, and advanced media measurement. Karin is known for translating complex data and AI capabilities into scalable business impact and a sustainable competitive advantage. Previously, she served as Chief Data Officer at RTL Deutschland, driving the company’s data-led digital transformation, and as Managing Director at Bertelsmann, where she built the group’s central data platform. Earlier, she led the design of a comprehensive data ecosystem at GroupM. She began her career at Mediaplus as a media researcher. Karin holds three master’s degrees and combines strategic vision with strong operational execution, consistently leading large-scale data and AI transformations in international organizations.
Talk

Karin Immenroth | From AI Pilots to an AI-Powered Enterprise: How Mediaplus Built a Global AI Operating Model Across 25+ Markets

AI Transformation Data Mesh Agentic AI AI Operating Model
While many organizations have successfully launched AI pilots, only a few have managed to transform artificial intelligence into a scalable business capability that delivers measurable impact across markets, teams, and clients. In this session, Karin Immenroth, Global Chief Data Officer at Mediaplus Group, shares how one of the world’s largest independent media agencies built a global AI Operating Model that connects data, analytics, AI applications, automation, and business processes into a single ecosystem. Drawing on real-world experience from the Mediaplus transformation journey, Karin will demonstrate how the organization established a global data mesh architecture, implemented a centralized data platform, deployed AI-powered decision intelligence solutions, and embedded AI into everyday workflows across international markets. The session provides a practical blueprint for organizations looking to move beyond fragmented AI initiatives and scale AI across the enterprise. Attendees will gain insights into technology architecture, governance, operating models, organizational change, and adoption strategies that enable sustainable AI transformation. Rather than focusing on theory, the presentation highlights concrete implementation decisions, lessons learned, measurable business outcomes, and practical frameworks that participants can apply within their own organizations. Key Takeaways Participants will learn: How to move from isolated AI experiments to enterprise-wide AI adoption How data mesh principles can accelerate scalable AI deployment How to connect data platforms, AI applications, and business processes into a unified operating model How agentic AI can automate decision-making and operational workflows How to drive organizational adoption and build an AI-first culture How to measure AI success through business impact, productivity gains, and speed-to-decision metrics