Show Notes
Building trust in data isn’t just a modern challenge—it’s a decades-old problem that continues to evolve. In this episode, Chief Data Citizen Stijn Christiaens sits down with Axel Frank and Kevin Falkenstein of Siemens AG to explore how one of the world’s largest industrial manufacturers is tackling that challenge head-on. Together, Axel and Kevin lead Siemens’ internal data governance platform, where they've reimagined data management around reuse, business ownership and transparency. They discuss the company’s shift toward data products, the creation of a centralized data marketplace and the cultural transformation that’s helping Siemens scale governance across business domains. From skeptical executives to AI-powered possibilities, learn how to make data governance a source of value—not friction. Three reasons you should listen to this episode: 1. Build trust through transparency. Hear how Siemens uses data lineage, ownership, and quality checks to foster confidence in data—so executives can make decisions without second-guessing the numbers. 2. Design data for reuse and scale. Learn to define and structure data products for business users, making data both consumable and composable across teams. 3. Future-proof your data strategy. Discover how strong governance today enables data products to evolve alongside AI—ensuring your foundation is built for whatever comes next.
Resources Connect with Stijn Connect with Axel Connect with Kevin
Enjoyed this episode? Be sure to follow us so you never miss an update. You can leave us a review on Apple or Spotify, and share it with your friends and colleagues to help others learn more about the importance of a data-first digital transformation approach. Have questions? You can connect with us on LinkedIn. For more updates, please visit our website.
More from Data Citizens Dialogues
Most companies still treat governance like a compliance chore. Fatimh Al-Jaber of Ooredoo Qatar explains why that mindset breaks down fast once AI, customer decisions and trust are on the line.
AI projects don’t fail because the model is bad. They fail because the context, governance and accountability layers are missing. Corey Wagner and Ravit break down why clean data is only half the battle, and what enterprise leaders need in place before agents can deliver real value.
Unlock the secrets to effective AI prompting and data management that can transform your organization’s decision-making and efficiency. Join Stijn and Maiquel Sampaio de Melo from IDB Invest as they dive into the fundamentals of problem-solving in data and AI. They share practical frameworks you can use today, from defining your problem in a single sentence to understanding your current process and visualizing the ideal outcome. Learn how to think before you prompt, prepare with intention and organize your data workflow so AI performs better under pressure. You will also hear concrete tactics like the six criteria for description quality, five critical questions to ask before using AI and ways to measure business value with clear outcomes. We cover:
Effective data and AI governance isn't just about compliance—it’s the foundation for trustworthy, high-impact decision making. In this episode, Fatimh Khalid J.A. Al-Jaber from Ooredoo Qatar reveals how transforming governance into a strategic enabler supercharges AI success and customer trust. Discover how a telecommunications giant shifted from viewing governance as a compliance burden to positioning it as a key driver of innovation and value creation. Fatimh breaks down the practical steps they took, including building a unified data glossary, tracking data lineage and prioritizing high-impact data domains while celebrating measurable progress along the way. Learn how Qatar’s privacy laws and international standards shape a trustworthy, customer-centric data approach not just for compliance but as a strategic differentiator. We cover: * How data governance becomes a strategic advantage * Why trust and accountability matter for AI success * How Ooredoo Qatar supports fast AI deployments * Managing governance across complex telecom systems See more Data Citizens Dialogues at collibra.com/podcasts
Most companies are unprepared for AI's rapid evolution and if you do not shift your governance approach now, you will fall behind. In this episode, Joe Wallace from Adobe shares a practical concept called “shift down” that helps teams build AI safety and agility into the foundation so they can innovate without constant approval bottlenecks.Wallace explains governance through a garden analogy. Teams can freely harvest the right data while keeping harmful risks out. He also shows why rigid checklist frameworks can leave organizations audit-ready but risk-blind and why built-in safeguards scale better as AI evolves.You will learn: What the “governance stack” is and how discover, use, protect and orchestrate work together Why “shift down” helps teams move faster with fewer approval delays How legal, security and product teams can align around AI at scale The risks of weak governance including data leaks, misuse and privacy issues Practical ways to encourage experimentation and help your team say “just try” If you want to lead in AI without sacrificing control, this episode gives you a clear blueprint for turning governance from a bottleneck into an enabler.