Sue Geuens

Enterprise Data Governance is often viewed as a necessary control function — important, but slow. A safeguard. A gatekeeper. A blocker to be worked around rather than embraced. But governance should not be a bureaucratic hurdle or a compliance-only afterthought — especially in an era where AI ambitions rely on trusted, well-understood data. This session shares the ongoing journey of evolving Enterprise Data Governance from a foundational framework into an increasingly active, embedded enterprise capability — one designed to enable, not restrict. By building robust governance foundations — spanning policies, standards, operating models, and communities — and embedding them into value-led business delivery, trust becomes operational rather than theoretical. The transformation is still in motion. Perceptions are still being reshaped. Yet governance is beginning to operate at the speed of business — supporting analytics, enabling responsible AI, and acting less as a constraint and more as a catalyst. A candid perspective on what it takes to transform governance into a trusted enterprise capability.