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Ravens AI Academy Series
Data Stewardship in the Age of AI
Roles, Accountability, and Governance Design — A Practical Guide to Structuring Ownership, Stewardship, and Committee Design for Trustworthy Enterprise AI
Every organization with a mature-sounding data governance policy has a quieter, more consequential question left unanswered: when a specific dataset has a specific quality problem, who is actually accountable for fixing it — and what happens if no one does?
This book is about that organizational design specifically: the roles, reporting structures, committees, and accountability models that make data and AI governance genuinely operational rather than aspirational, and that survive contact with a real, busy, imperfect organization.
Inside the book
- Part I — The Stewardship Imperative and the cost of undefined accountability
- Part II — Roles and structures: CDO, data owners, stewards, AI governance committee
- Part III — Accountability models: RACI, escalation paths, performance measurement
- Part IV — Committees and governance design: councils, AI review boards, cross-functional coordination
- Part V — Maturity and scaling, including M&A and reorganizations
- Part VI — Case studies and a practical stewardship program roadmap