Change is hard. It’s an old truth—but one that matters more than ever in the age of AI. In this episode, host Thomas Brence sits down with two champions of change at McDonald’s—Director of Enterprise Data Governance, John Tucker, and Change Agent & Communications Manager, Avery Chandler—to explore why change management is essential to building a successful data governance program.
Together, John and Avery share how McDonald’s put change management at the center of its governance journey, dedicating a role to guide employees through new tools, policies, and behaviors. They discuss how empathy, storytelling, and frameworks like ADKAR help bridge the gap between business strategy and everyday practice—turning adoption into traction.
From flipping burgers in training to navigating AI-driven transformation, this conversation reveals how grounding governance in human experience can drive lasting cultural change. Discover why a change agent may be the most important hire your data program can make.
Three reasons you should listen to this episode:
1. Make change management a cornerstone. Hear why McDonald’s embedded a dedicated change manager into its governance team and how it’s transforming adoption.
2. Use storytelling and frameworks to connect. Learn how ADKAR and the power of narrative help employees understand, embrace, and sustain new ways of working.
3. Build empathy through hands-on experience. Discover why training alongside restaurant staff—even burning fries—creates a culture that’s ready to embrace data and AI.
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What does it really take to build confidence in enterprise data? At Arvest Bank, it started with a single use case and a commitment to simplicity. In this episode, Thomas Brence sits down with Josh Cohen live from Collibra’s Product Premiere to talk about what it means to make trust tangible—and how Arvest is laying the groundwork for deeper data quality and governance maturity.
By bringing Collibra under the data engineering team and focusing on clear business value, Arvest is transforming how its finance and performance teams interact with data. Josh shares how his team is tackling source-to-target validation, establishing trust through small wins, and navigating change management with a pragmatic, top-down approach.
From reluctant stakeholders to AI readiness, hear how one bank is building trust in its data—one rule, one report, and one relationship at a time.
Three reasons you should listen to this episode:
1. Start small to prove value fast. Learn how Arvest focuses on specific, high-value reporting needs to make data governance meaningful—and measurable—for business stakeholders.
2. Rethink ownership to drive adoption. Explore Arvest’s shift Collibra from the governance team to data engineering, and how that decision helped accelerate quality initiatives.
3. Navigate change with clarity. Get practical advice on managing resistance, setting expectations, and securing executive buy-in to make data quality stick.
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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.
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When resources are tight and the pressure is high, good governance isn’t a luxury—it’s essential. In this episode, Thomas Brence connects with Tom Friesen, Data Governance Lead at Algonquin College, to explore how one person can create an outsized impact by focusing on sustainability, self-service, and alignment with institutional priorities.
Tom’s background in institutional research helped him identify a lack of trust in data as a major roadblock to decision-making—and how Collibra has enabled him to build processes that empower others to take ownership. From transforming policy governance to reducing review time and meetings, Tom proves that well-executed governance can save more than time—it can save strategy.
Three reasons you should listen to this episode:
1. Achieve measurable impact with minimal resources. Learn how one person implemented governance practices that saved two person-years of effort annually—by automating and simplifying policy review at scale.
2. Align data governance with institutional strategy. Tom shares how he prioritizes initiatives based on the goals of the organization, ensuring that governance supports efficiency, compliance, and smarter decision-making.
3. Prepare your data for AI readiness. As higher education institutions look toward AI, Tom explains why good governance is the foundation for ethical and effective adoption—and how poor data quality can derail your AI ambitions.
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What does it take to lead data strategy at a Fortune 500 company for over a decade—through industry shifts, technological revolutions, and the dawn of generative AI? In this kickoff episode of Season 4, host Thomas Brence sits down with Justin Heller, Chief Data Officer at Synchrony, to explore how a foundation in political science, interactive telecommunications, and process thinking has shaped his enduring career in data leadership.
Justin shares the strategic mindset that’s guided his team’s efforts across technology, people, and process, and how his background in game theory informs his value-focused approach to data. From navigating the ethical complexities of AI to measuring data’s contribution to enterprise risk reduction, Justin offers an honest, insightful look at the evolution—and future—of the CDO role.
Three reasons you should listen to this episode:
1. Redefine data leadership through interdisciplinary thinking. Learn how Justin Heller’s unique academic and professional background shapes his approach to data strategy—and how connecting people, process, and technology drives long-term impact.
2. Bridge AI adoption and governance with practical ethics. Discover why a “human in the loop” model isn’t enough on its own, and how organizations can better prepare their workforce for responsible AI use.
3. Tie data quality to business value, not bureaucracy. Hear how Synchrony balances agility with risk management, turning governance into an enabler instead of a roadblock—and why relevance of information (ROI) may matter more than return on investment.
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The team is taking a quick break but we’ll be back in 2025 with even more insights, stories, and inspiration from data leaders around the world.
In the meantime, catch up on any episodes you may have missed, and don’t forget to follow the show so you’ll be the first to know when we’re back. We’ll see you in 2025!
Empowering teams with data is essential for any organization aiming to drive better decision-making. This week, Chief Data Citizen, Stijn Christiaens connects with Ruben Missinne, Data Analytics Officer at Colruyt Group, to break down how the company built a “data marketplace” to support decentralized access, enabling employees across departments to leverage data effectively and independently.
Whether fostering data craftsmanship and trust through hands-on learning opportunities like hackathons and collaborative coaching, or by decentralizing data access and prioritizing transparency, Colruyt has built a culture where data is trusted and actionable. Leaders looking to transform their own data strategy will find valuable insights in their approach to making data an integral part of daily operations.
Three reasons you should listen to this episode:
1. Empower teams through decentralized data access. Discover how Colruyt’s “data marketplace” model enables employees across the organization to use data independently, driving more effective, data-informed decision-making.
2. Strengthen data culture with practical, hands-on learning. Ruben shares Colruyt’s approach to data literacy through hackathons and collaborative coaching, making data skills accessible to everyone.
3. How transparency and trust enhance data use. Explore how Colruyt builds trust in its data through transparency and open access, ensuring that data is both reliable and integral to daily operations.
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How are law firms embracing the power of data while navigating the unique challenges that set them apart from other industries? Jordan Galvin, the first data governance manager at Perkins Coie, reveals how legal organizations can transform their approach to data, tackling compliance, privacy, and risk management in a traditionally non-technical environment.
From improving data quality to bridging the gap between legal expertise and data-driven decision-making, Jordan shares practical strategies that bring data governance to life. She also highlights the importance of fostering collaboration across departments to build a more data-driven culture. This conversation offers valuable insights for leaders looking to elevate their data governance practices within the legal landscape.
Three reasons you should listen to this episode:
1. How law firms harness the power of data. Discover how the legal industry is adapting to data governance, tackling challenges like compliance, privacy, and risk management while staying ahead in a rapidly evolving field.
2. Practical strategies for bridging gaps. Actionable insights on improving collaboration between traditionally separate legal and data departments to create a more data-driven culture.
3. Non-technical industries embracing data governance. Valuable lessons on how organizations with little technical background, like law firms, can implement effective data governance practices and turn data into a strategic asset.
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A shared understanding of data across teams might be one of the most critical tools for driving better business outcomes. Just ask Nicola Askham, the Data Governance Coach, who's full of practical advice on creating clarity around data definitions, improving collaboration and making data sharing more reliable within organizations.
Miscommunication and inconsistent data definitions can easily lead to inefficiencies and mistakes. Nicola shares practical strategies for using data glossaries and catalogs to align teams, ensuring everyone is on the same page and working with accurate, trusted information. This conversation offers actionable insights for data governance leaders looking to enhance data culture and governance practices through a unified language.
Three reasons you should listen to this episode:
1. Create clarity around your data. Learn how establishing a common language through data glossaries and catalogs can reduce miscommunication and ensure your teams work with accurate, consistent data.
2. Boost collaboration across departments. Discover practical ways to improve data sharing and alignment between teams, leading to better decision-making and fewer errors.
3. Strengthen your data governance strategy. Gain insights into how a shared understanding of data can enhance your organization’s data culture and governance practices, making data more reliable and easier to manage.
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Faced with the complexity of managing massive amounts of digital data, it’s no surprise that organizations are rethinking how to empower their teams. Garth Gehlbach, Head of Data Governance at Western Governors University, joins us live at DC 24 in Orlando to reveal how the university implemented a self-service data discovery platform, transforming the way users access and leverage information.
By leveraging a "Google for data" approach, WGU has built a system that allows users to quickly find and confidently trust the data they need. And thanks to the power of metadata in providing critical context and making data more accessible and reliable, WGU’s self-service model not only offers a practical blueprint for overcoming fragmented data sources and inconsistent reporting; it also paves the way for a more scalable and efficient data governance model.
Three reasons you should listen to this episode:
1. Empowering your team with self-service data tools. Discover how implementing a self-service data discovery platform can transform your organization's efficiency, enabling users to independently find, understand, and trust data.
2. Unlocking the power of metadata. Hear how WGU used metadata to provide critical context, making data more accessible and reliable, and how you can apply similar strategies to your data governance efforts.
3. Overcoming data governance challenges. Gain insights into tackling common issues like fragmented data sources, inconsistent reporting, and building trust in your data through proactive governance strategies.
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Metadata isn’t just a buzzword; it's the foundation for driving business value and fostering a data-driven culture. Tanja Glisin, Data Governance Office Manager at TELUS, joins Collibra’s Keren Corely, Director of Go-to-Market Digital Programs, on location at DC 24 in Orlando, to discuss the transformative power of metadata management.
Now five years strong, TELUS's metadata management program is designed to empower the organization by enabling business units to efficiently manage, govern and leverage data assets. Tanja shares insights into the program's mission to democratize data, the importance of stakeholder management and the role of continuous improvement in maintaining program success. She also emphasizes the significance of building a metadata repository to achieve critical mass and the strategic use of metadata to create valuable data products that drive innovation and efficiency across the organization.
Three reasons you should listen to this episode:
1. Empowering Data Democratization. Hear how transforming data (by making it accessible and usable across the organization) can break down silos and foster a data-driven culture.
2. Strategic Metadata Management. Gain valuable insights into TELUS's approach to building and managing a comprehensive metadata repository, enabling efficient data governance and the creation of high-value data products.
3. Continuous Improvement and Stakeholder Management. Learn about the importance of continuous improvement, stakeholder engagement, and risk management in driving the success of a metadata management program and how these practices can be applied to your own data initiatives.
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Over the past two decades, data has become critical to nearly every industry. In the realm of healthcare, it's a game-changer. Anthony Macaione, Data Governance Manager, and Craig Hunter, Solutions Analyst, reveal how MemorialCare's cutting-edge data governance practices are revolutionizing patient outcomes and streamlining operations.
MemorialCare's mission focuses on improving the health and well-being of individuals and communities by leveraging trusted data. As Anthony and Craig shed light on the organization’s data governance journey, they reveal the challenges of making data accessible and useful across the board. From the integration of data governance with business processes to the measurable success seen in increased data utilization and streamlined operations, this live DC 24 session underscores the importance of transparency, role-specific data access, and continuous improvement in healthcare data management.
Three reasons you should listen to this episode:
1. Transforming patient care with data. Discover how MemorialCare leverages data governance to improve patient outcomes and enhance operational efficiency in a healthcare setting.
2. Real-world implementation. Gain insights into the practical steps MemorialCare took to build a comprehensive report catalog, integrating data governance with business processes to make data more accessible and useful.
3. Driving operational efficiency. Learn about the importance of transparency, role-specific data access, and continuous improvement in driving the success of healthcare data management programs.
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Data isn't just the new oil; it's the engine driving transformation. Listen as Northern Trust’s Adrienne Kiessel, Head of Enterprise Data Governance and Subbaiah Maneyapanda, Senior VP of Enterprise Data Management & Analysis break down how their organization’s data strategy is revolutionizing its approach to data governance and management.
Of course, achieving such significant strides in data governance isn’t easy. But by treating data as a valuable asset and continuously fostering a proactive, collaborative culture, Northern Trust has shifted away from siloed operations to embrace a truly cohesive strategy; one that includes the use of data management tools, like Collibra. Recorded live at DC 24 in Orlando, this session is a rare glimpse at how to empower practitioners within your organization to begin leveraging data for innovation and informed decision-making.
Three reasons you should listen to this episode:
1. Proactive Data Culture. Learn how Northern Trust is moving from reactive to proactive data management, breaking down silos and fostering a culture where data is treated as a core asset across the organization.
2. Strategic Integration. Discover the strategic integration of data governance tools like Collibra, which enhances data quality and consistency, supporting regulatory compliance and business innovation.
3. Empowering Practitioners. Understand the comprehensive approach to empowering thousands of data practitioners through education, support, and a centralized governance model, driving meaningful and actionable insights.
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How does a major player in the housing finance industry leverage data to drive business value and support its mission? Listen to find out as Chief Data Citizen, Stijn Christaens, chats with Freddie Mac’s VP & Chief Data Officer, Arvind Jagannathan, and Director of Data Analytics, Vikram Chopra, to uncover the sophisticated data strategies that power the mortgage leader's operations.
Freddie Mac’s journey of modernizing its data ecosystem and steering clear of the data swamp highlights their innovative approach and dedication to effective data governance. As we examine their offensive and defensive strategies, we see how advanced analytics and AI help to transform operations and enhance decision-making in an incredibly regulated industry. Recorded live at DC 24 in Orlando, this deep dive into the practical applications of data is an amazing look at the intersection of data management, governance and business strategy.
Three reasons you should listen to this episode:
1. Modernizing Data Ecosystems. Learn how Freddie Mac transitioned from legacy systems to a modern data infrastructure, ensuring data quality and compliance while driving business value.
2. Offensive and Defensive Strategies. Understand the balance between offensive and defensive data strategies, including data consumer registration and advanced analytics to support business objectives.
3. AI Integration. Discover how Freddie Mac is leveraging AI to improve their data processes and decision-making, setting the stage for future innovations in the housing finance industry.
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When a pioneer of connectivity solutions decides to revamp its data governance, the results can be transformative. Join Thomas for a chat with TE Connectivity’s Lead Data Governance Specialist, Jacqueline Paneque, and Senior Data Governance Specialist, Brett Larson. Together, they reveal the innovative data strategies that drive TE Connectivity’s success across multiple sectors.
Recorded live at the Collibra Data Citizens event in Orlando, this episode delves into TE Connectivity’s journey from a fragmented data governance approach to a cohesive, federated model that enhances collaboration and efficiency. Discover how TE Connectivity uses data to solve business problems, improve decision-making, and foster innovation in a complex, multi-industry environment.
Three reasons you should listen to this episode:
1. Real-world Transformation. Hear firsthand how TE Connectivity transitioned from a fragmented data governance model to a streamlined, federated system that integrates business and technical perspectives, providing tangible improvements in data management.
2. Strategic Insights. Gain valuable insights into the specific strategies TE Connectivity employs to drive adoption of data governance practices, including the creation of a business glossary and innovative approaches to maintaining data quality across diverse business units.
3. Innovative Applications. Discover the practical applications of TE Connectivity’s data strategies, including how they leverage data to solve real business problems, enhance decision-making processes, and drive innovation in the connectivity solutions sector.
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What’s the secret sauce behind McDonald’s ability to stay ahead in the fast-food industry? John Tucker, Director of Enterprise Data Governance, unveils how McDonald’s uses data to not only enhance customer experience but also streamline crew operations with cutting-edge AI applications.
From personalizing customer interactions to implementing AI-driven tools that support crew efficiency, John reveals how McDonald’s leverages data to maintain its competitive edge. And his many insights on the company’s innovative data strategies only reinforce the role of data governance in ensuring quality and consistency across all industries. Recorded live at DC 24 in Orlando, this conversation is a must-listen for anyone interested in the practicalities of data-driven transformation in a global enterprise.
Three reasons you should listen to this episode:
1. Practical AI Applications. John shares how McDonald's uses AI to streamline crew tasks, such as using chatbots to provide instant answers, which enhances efficiency and reduces manual work.
2. Comprehensive Data Governance. Learn about the innovative structure of McDonald's data governance team, including roles like data librarian and change adoption manager, and how this approach ensures data quality and consistency.
3. Building the Plane. Discover how McDonald's Project Runway is driving data standardization and operational improvements, making data more accessible and meaningful across the organization.
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What's the point of creating value with your data if you never cash it in? This week, Barb Wixom, Principal Research Scientist at MIT Sloan's Center for IS Research, takes us through the critical but oft neglected journey of turning data into definitive financial gains.
In peeling back the layers inherent to the value creation process, Barb insists that the leap from data to dollars must involve more than simply generating insights; it requires a strategic pivot towards value realization. With the IWS (Improve, Wrap, Sell) framework, we’ll help demystify the process, and show you exactly how operational enhancements and product advancements can be carefully leveraged to achieve financial outcomes. It’s a comprehensive look at the practicalities of converting data into tangible value; a must-listen for anyone looking to navigate the complexities of data monetization effectively.
Three reasons you should listen to this episode:
1. Value Creation to Realization. Barb breaks down the critical steps from value creation to value realization in data monetization, highlighting a commonly overlooked phase that is crucial for translating data benefits into financial returns.
2. The IWS Framework. A simple yet powerful tool for organizations to strategize their data monetization efforts, providing a clear pathway from operational improvements to selling information-based solutions.
3. Sustainability and Data Monetization. For any effort to be viable long-term, it must not only generate social or operational benefits but also secure financial returns, thereby ensuring the initiative's economic feasibility over time.
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Is data the Coast Guard’s compass to new horizons? This week, Toan Do, Area Vice President of Federal Sales at Collibra, invites Capt. Brian Erickson, Chief Data and Artificial Intelligence Officer at the United States Coast Guard, to shed some light on the Coast Guard's transformative journey from traditional navigation to data-driven decision-making, illustrating how data is becoming the compass guiding the organization's mission and operations.
Amid the challenges of implementing data analytics and AI within the Coast Guard, Capt. Erickson has come to recognize the value of starting small, focusing on high-priority use cases, and fostering a data-literate workforce. His personal transition from a career aviator to leading the Coast Guard's first data office is a perfect parallel to the evolving role of data as a strategic asset in enhancing mission effectiveness. And as if that’s not already a shining example of leadership in data, Capt. Erickson is now preparing to pass on this newfound passion to his successor, setting the stage for a bright future of enthusiastically data-literate military personnel.
Three reasons you should listen to this episode:
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We all know that every bit of an organization’s data ought to be treated equal, right? Well, in a world where clean data is often the status quo, Julie Fawdington, Senior Director PMO at Hewlett Packard Enterprises, invites us to ask the question, how clean is clean enough?
Drawing on her extensive experience in data transformation, Julie’s take on data quality suggests the need for data quality differentiation. As she puts it, the stuff in her pet’s water bowl isn’t the same as what’s in her water bottle. But does this idea that not all data requires the same level of cleanliness really upend conventional wisdom? Or does it simply provide a more nuanced understanding of how to efficiently manage data in today's fast-paced business environment?
Three reasons you should listen to this episode:
1. Redefining data standards. Discover Julie's unique approach to data quality and how it can revolutionize your data management practices.
2. Empowering data stewards. Examine the role of data custodians and stewards in driving business processes and effectively managing data quality and governance.
3. Leadership's role in data management. Learn practical steps for how leaders can promote data quality and management within their organizations.
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It's no secret that AI has seen massive success in FinTech, but what hidden forces are driving this success, and how do they transform raw data into global opportunities? This week, guest host Stijn Christiaens invites Peep Küngas, Data Architect at Monese to decode the intricacies of data quality management and its profound impact on the tech landscape, offering fresh insights into this crucial yet often overlooked backbone of AI innovation.
How do the smallest details in data curation fuel major breakthroughs in AI-driven solutions? And what unseen challenges do data architects grapple with in their mission for impeccable data? Listen as Peep and Stijn peel back the layers of data quality management to reveal the critical role of precision and insight in shaping the future of FinTech and our next technological leap forward.
Three reasons you should listen to this episode:
1. The foundation of AI success. Understand the integral role of data quality management in enhancing AI's performance in the FinTech industry.
2. Navigating data complexities. Examine the challenges, strategies, and rigorous process behind ensuring impeccable data quality.
3. Data quality as a discipline. Find out what fitness routines teach us about the continuous effort and collaboration required to maintain and improve the backbone of digital innovation.
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