Artificial intelligence is transforming every aspect of education, yet many institutions lack a structured governance framework to guide responsible implementation. Developing effective AI governance requires more than policies, it demands leadership, accountability, ethical decision-making, risk management, and continuous oversight. This session introduces a practical governance framework that education leaders can use to establish governance committees, define institutional AI principles, assess organizational readiness, manage risk, and develop implementation roadmaps. Drawing from executive leadership experience across education, government, and technology, attendees will gain practical tools to build responsible AI governance programs that foster innovation while protecting students, faculty, institutional data, and public trust.