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How to Lead AI Organizational Change in a Complex Enterprise
Manage episode 513567817 series 2286446
When AI enters the enterprise, the work isn’t just about the tech—it’s about culture, collaboration, and courage. In this episode, Galen chats with Deborah Ketai, a program and change management leader who helped a Fortune 5 healthcare organization align its people, systems, and culture around AI. Together, they unpack how she built a community of practice that broke down silos, reduced knowledge debt, and created space for cross-training, collaboration, and smarter risk management.
From talent strategy to trust and transparency, Deborah shares what it really takes to sustain AI-driven change inside complex organizations—and what PMs need to learn now to stay ahead as their roles evolve.
Resources from this episode:
- Join DPM Membership
- Subscribe to the newsletter to get our latest articles and podcasts
- Connect with Deborah on LinkedIn
챕터
1. The Case for Breaking Silos (00:00:00)
2. Governance, Risk, and the Cost of Debt (00:03:44)
3. Defining Goals: Talent, Collaboration, Culture (00:07:20)
4. Community of Practice Tactics (00:10:20)
5. Beyond GenAI: Foundational Change (00:13:20)
6. Winning Leadership Buy‑In (00:16:22)
7. Metrics, Data Gaps, and Proxies (00:19:28)
8. Enterprise-Scale Engagement Mechanics (00:24:05)
9. Does AI Change CM Itself? (00:27:00)
10. AI As a New Stakeholder (00:30:00)
11. PM vs CM: Roles and Timelines (00:33:20)
12. Sustaining Change and Ownership (00:37:20)
13. Program Managers Closer to Strategy (00:40:10)
14. Blurring Business and IT Lines (00:44:20)
15. Trust, Ethics, and Guardrails (00:47:10)
217 에피소드
Manage episode 513567817 series 2286446
When AI enters the enterprise, the work isn’t just about the tech—it’s about culture, collaboration, and courage. In this episode, Galen chats with Deborah Ketai, a program and change management leader who helped a Fortune 5 healthcare organization align its people, systems, and culture around AI. Together, they unpack how she built a community of practice that broke down silos, reduced knowledge debt, and created space for cross-training, collaboration, and smarter risk management.
From talent strategy to trust and transparency, Deborah shares what it really takes to sustain AI-driven change inside complex organizations—and what PMs need to learn now to stay ahead as their roles evolve.
Resources from this episode:
- Join DPM Membership
- Subscribe to the newsletter to get our latest articles and podcasts
- Connect with Deborah on LinkedIn
챕터
1. The Case for Breaking Silos (00:00:00)
2. Governance, Risk, and the Cost of Debt (00:03:44)
3. Defining Goals: Talent, Collaboration, Culture (00:07:20)
4. Community of Practice Tactics (00:10:20)
5. Beyond GenAI: Foundational Change (00:13:20)
6. Winning Leadership Buy‑In (00:16:22)
7. Metrics, Data Gaps, and Proxies (00:19:28)
8. Enterprise-Scale Engagement Mechanics (00:24:05)
9. Does AI Change CM Itself? (00:27:00)
10. AI As a New Stakeholder (00:30:00)
11. PM vs CM: Roles and Timelines (00:33:20)
12. Sustaining Change and Ownership (00:37:20)
13. Program Managers Closer to Strategy (00:40:10)
14. Blurring Business and IT Lines (00:44:20)
15. Trust, Ethics, and Guardrails (00:47:10)
217 에피소드
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