VP AI. The role, the market signal, and how to build it in your org.
Enterprise AI leadership at the VP/SVP level, typically running the AI platform, AI product, or AI-X function (AI Security, AI Strategy, AI Innovation).
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.
49 postings · 49 distinct titles · from 264,613 real job postings · see the source snapshot →
What the postings ask this role to do
1,151 tasks extracted from real VP AI job descriptions, classified Automate / Augment / Human-only. In this source classification, 1% of task statements are automation candidates. The share does not measure working time or demonstrated agent performance.
- Document model development materials for mrm approvals and governance purposes.
- Manage and maintain policies and processes.
- Plan resources, budgets, and policies.
- Escalate breaches of policies and procedures.
- Contribute to strategy and make recommendations for change.
- Manage and mitigate risks through assessment in support of the control and governance agenda.
- Counsel employees on performance when managing a team.
- Define jobs and responsibilities when managing a team.
- Perform other duties and special projects as assigned.
- Use influencing and negotiating skills to achieve outcomes.
- Contribute to employee pay decisions and changes when managing a team.
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.