New Roles · AI Operators & Cross-Functional Roles

Director AI. The role, the market signal, and how to build it in your org.

Operational AI ownership, often the role accountable for shipping AI features and AI-touching products in a specific business unit.

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.

48 postings · 47 distinct titles · from 264,613 real job postings · see the source snapshot →

What the market calls it
Director, AIDirector of AISr Director AIAI Director
Employers in this source snapshot
Mastercard 6Capitalone 3Guidehouse 3Visa 3Cisco 2

What the postings ask this role to do

971 tasks extracted from real Director AI job descriptions, classified Automate / Augment / Human-only. In this source classification, 1.2% of task statements are automation candidates. The share does not measure working time or demonstrated agent performance.

Automate
  • Monitor platform performance.
  • Measure speed to production readiness.
  • Develop templates for ai delivery at scale.
  • Monitor ai platform security slos and slis.
  • Report on ai platform security slos and slis.
Augment
  • Ensure platform scalability and reliability.
  • Ensure timely and successful implementation of ai initiatives.
  • Manage project budgets, resource allocation, and delivery timelines.
  • Delegate tasks, manage project timelines, and monitor team performance.
  • Guide ai development, model building, training, and implementation processes.
Human-only
  • Guide technical teams.
  • Foster a culture of innovation.
  • Retain top talent in the ai industry.
  • Attract top talent in the ai industry.
  • Develop specialized ai talent within the organization.
How we build it in your org

From the market's version of this role to your version of it

1. Define workflow responsibilities
Start with the actual work this role must improve and the output your enterprise needs. Define how people and agents share the decisions, exceptions and handoffs. Task Intelligence examines the tasks within that work.
2. Define your version
Your team defines the role around its own systems, data, rules and responsibilities. Agree what the person configures, builds, reviews or supervises and what technical support is needed.
3. Practise and assess readiness
Build on the domain and technical expertise your people already bring. Shape a practical project around your enterprise context, then use relevant Simulations, GenAI Sandboxes and Skill Validation Assessments to review the work and capability demonstrated.

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.