CDOIQ Newsletter, June 2025 vol. II | | Discover the CCDO Professional Program - Join us! | | |
Join us on July 14th from 11:30 AM to 2:00 PM for the Certified Chief Data Officer (CCDO) Open House!
The CCDO Professional Program is designed to equip data leaders with the essential knowledge, skills, and strategies needed to excel in the Chief Data Officer (CDO) role. This program blends business acumen, technical expertise, and leadership capabilities, ensuring participants are well-prepared to tackle the evolving challenges of data governance, analytics, and digital transformation.
By covering critical aspects of strategy, innovation, and people management, the program provides a well-rounded approach to navigating the complexities of data leadership and driving meaningful organizational success.
This is a great opportunity to meet distinguished industry leaders (SMEs) who teach CCDO modules and to meet CCDO Program participants.
| | We are now in full swing for the 3rd CCDO Professional Program and accepting participants. Enhance your skills and advance your career with our comprehensive curriculum designed for aspiring Chief Data Officers. Take the next step in your data leadership journey and register today! | | Symposium Proceedings Data Quality Check | | |
Colleagues: We are less than a month away from the 19th Annual CDOIQ Symposium. Below is the current draft of the symposium proceedings that we can share to the attendees. All registered attendees will receive a final copy of the symposium proceedings a week before the symposium.
📢Attention Sponsors and Speakers:
âś” Review your session details by clicking the links below
âś” Submit any changes or corrections ASAP no later than June 30th
| | Featured CDOIQ Presentations | | Navigating Risk in the AI Era: Building Trust While Scaling Data Innovation | |
JoAnn Stonier, Mastercard
Eileen Vidrine, Vidrine Vantage
In an era where artificial intelligence capabilities are advancing at breakneck speed, organizations face an unprecedented challenge: how to harness the transformative power of AI while navigating risks and maintaining the trust that customers demand. This fireside chat explores the critical intersection of AI innovation, data governance, how to handle risk through the lens of a seasoned executive who navigated these complexities at one of the world’s largest financial technology companies.
As former first Chief Privacy Officer, and then as the first Chief Data Officer at Mastercard, current Mastercard Fellow of Data & AI, as well as an Executive Advisor with the Cantellus Group — JoAnn brings unparalleled insights into building privacy-first AI systems at global scale. Having overseen data strategy during a period of explosive AI adoption while simultaneously ensuring compliance with an ever-evolving landscape of regulations from GDPR to emerging AI governance frameworks, she has a unique perspective on the practical realities of implementing “privacy by design” principles as part of AI Governance.
This conversation is particularly timely as organizations across industries grapple with fundamental questions: How do you build AI systems that are both powerful and able to navigate risk? What does meaningful consent look like in an AI-driven world? How do you maintain competitive advantage through data innovation. Perhaps most critically, how do you build sustainable trust with customers who are increasingly aware of—and concerned about—how their data is being used?

Drawing from real-world experience in financial services—an industry where trust is the ultimate currency and regulatory scrutiny is intense—this discussion will provide actionable insights for leaders seeking to navigate the complex terrain of AI innovation, privacy protection, and business growth in today’s data-driven economy.
| | Data Monetization: Selling Data in Risk-Averse Enterprises | | |
Michael Hejtmanek, Neudata
Jessica Li Gebert, Neudata
The idea of selling internal data externally can feel daunting, even dangerous. But the market has shown insatiate demand for enterprise data, and companies across industries have demonstrated that monetizing data is profitable and safe.
Michael Hejtmanek tackles common fears that prevent enterprises from capitalising on their data assets through vivid examples of successes and missteps; while Jessica Li Gebert explores how data monetization and corporate AI strategies are intertwined, sharing insights distilled from 50+ AI data licensing deals.
This talk equips CDOs with practical tools and frameworks to overcome internal resistance, protect privacy, mitigate reputational risk and confidently capture the substantial commercial opportunities hidden within their data inventory.
| | AI Governance for CDOs: Building Trustworthy, Compliant, and Scalable Policies | | |
Mark Horseman, DATAVERSITY
As stewards of enterprise data strategy, Chief Data Officers are uniquely positioned to lead the development of robust AI governance frameworks. This session offers a practical guidance for CDOs to craft policies, procedures, and guidelines leveraging a team writing approach that drives ethical AI use, ensures regulatory compliance, and aligns with organizational objectives. Learn how to structure a policy framework that addresses core challenges such as managing algorithmic bias, defining accountability, and navigating a rapidly evolving legal landscape. We’ll explore the importance of cross-functional policy teams, clear definitions of AI scope and applicability, and operational procedures that scale. Attendees will gain insights into creating a governance model that not only mitigates risk, but also empowers innovation and builds executive trust in AI-driven initiatives. Policy-writing templates will be available for participants.
| | Check out our previous 2025 CDOIQ Symposium newsletters to see confirmed speakers and get more details. Stay informed and be ready for an exciting event! | | | | |
