Who should own AI governance: PMO, IT, Risk, or Data teams?

Artificial Intelligence Business Analysis Business Intelligence

Rom C Founder| Questa AI

As AI adoption grows inside organizations, governance responsibility often becomes unclear.

I’ve seen several different models:

• IT security owning AI tool approvals

• Risk/compliance teams defining governance policies

• Data science teams managing model validation

• PMOs embedding AI oversight into project delivery

The challenge is that AI touches all these areas, which can make ownership ambiguous.

In your organization, who actually owns AI governance today?

Is it centralized under one team, or distributed across multiple functions?

Posted: Mar 9, 2026 5:27 AM

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Lissette Indhira Pimentel Sosa

Community Champion

Program Manager| HARPER SRL Santo Domingo / Distrito Nacional, Dominican Republic

In most organizations it works best as shared governance. IT and security typically handle tool approval and infrastructure, risk/compliance define policies and controls, and data teams oversee model validation.

The PMO often plays a coordination role, ensuring AI use in projects follows those guardrails and that accountability remains clear across teams.

Posted: Mar 10, 2026 9:56 AM

Vithubalamani Perianan Project Analyst| United Nation Development Programme Petaling Jaya, Selangor, Malaysia

AI Governance - there is a committee that looks into these matters. They are business policy owners and the Office of Ethics.

Posted: Mar 11, 2026 2:24 AM

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Who should own AI governance: PMO, IT, Risk, or Data teams?

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