Chief AI Officer. The role, the market signal, and how to build it in your org.
Enterprise AI leader responsible for the organization's AI priorities and governance. Preparation also needs to cover the teams building and running the work.
In a workforce of people and AI agents, this role takes shape around the workflows it supports. Define its responsibilities and handoffs, then prepare people to perform that work.
Source snapshot 2026-07-17. Postings do not confirm that a vacancy is still open.
1 postings · 1 distinct titles · from 264,613 real job postings · see the source snapshot →
What the postings ask this role to do
24 tasks extracted from real Chief AI Officer job descriptions, classified Automate / Augment / Human-only. In this source classification, 0% of task statements are automation candidates. The share does not measure working time or demonstrated agent performance.
- Participate in ideation discussions.
- Participate in research discussions.
- Participate in innovation discussions.
- Provide sales support to bti and sales teams.
- Deliver presentation materials for client briefings.
- Reframe thinking to drive strategy forward.
- Establish insights positions across a team of analysts.
- Collaborate effectively with peers in the insights community.
- Deliver high-value presentation materials on stage at gartner events.
- Drive client engagement to help clients make progress against critical priorities.
From the market's version of this role to your version of it
Start with the work, not the org chart.
Define what this role will build, configure, decide and check. Connect that work to an enterprise-specific project and agreed assessment evidence.