The course for leaders who assume their data is fine, and haven’t actually checked.
A practical framework for data governance, trust and third-party AI risk, built for leaders who don’t need to become data engineers.
Who it’s for: Executives, data leaders, and strategy and operations leaders responsible for the data foundations AI depends on. No technical background required.
Why this course is different: Most data governance content is written for data teams. This course is written for the leaders who need to ask the right questions of their data, their vendors and their own organisation, not build the pipelines themselves.
What you’ll leave with:
• The three pillars of data governance, ownership, standards, accountability, and a named starting point in your own organisation.
• A traceability test for any number you rely on, and the single-source-of-truth fix for systems that disagree.
• Five specific questions to put to any AI vendor, before you sign.
• A practical trust test and the four-element data trust framework: ownership, lineage, vetted vendors, transparency.
• A 30-60-90 day plan to build a genuine data culture, not just a policy document.