Pragmatic Use-Case-Driven Data Governance with Jason Doerr

About this episode

Jason Doerr discusses pragmatic data governance and the importance of use cases in governance programs.

Jason Doerr has spent years watching governance programs undermine themselves by cataloging everything without a use case, naming data stewards who have nothing to actually do, and building central teams that become blockers instead of enablers. In this episode, he walks through what pragmatic governance actually looks like: start with use cases, give stewards real work to action on, and let the central team set principles rather than police behavior. He also digs into PADU (Preferred, Acceptable, Discouraged, Unacceptable) as a practical roadmap framework, how LLMs can accelerate semantic layer creation without generating vanity metrics, and why the governance operating model is shifting toward agentic management ... whether the governance community is ready for it or not. See omnystudio.com/listener for privacy information.

People in this episode

Guest: Jason Doerr

Topics covered

• data governance
• use cases
• data stewardship
• semantic layer
• agentic management
• PADU framework

Keywords

• data governance
• use cases
• data stewards
• PADU
• semantic layer
• LLMs
• agentic management

More episodes of ServiceNow Podcasts

• 6th YEAR SEASON FINALE: Juan and Tim Rant · May 29, 2026 · 35 min
• Being AI Native at ServiceNow · May 27, 2026 · 24 min
• TAKEAWAY - Pragmatic Use-Case-Driven Data Governance with Jason Doerr · May 20, 2026 · 6 min
• Data Catalyst³: Governance × Change Management × Data Fluency w/ Bob Seiner · May 15, 2026 · 49 min
• TAKEAWAY - Data Catalyst³: Governance × Change Management × Data Fluency w/ Bob Seiner · May 15, 2026 · 5 min
• Day One Ready: What New Engineers Need to Know About AI — Engineering Now Unlocked · May 13, 2026 · 30 min