New Roles · AI Operators & Cross-Functional Roles

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

Develops AI priorities with business and technical owners. Examines where a custom build, an existing tool or a workflow change could meet the need, with its constraints and responsibilities.

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.

37 postings · 31 distinct titles · from 264,613 real job postings · see the source snapshot →

What the market calls it
AI StrategistGenAI Strategy LeadAI Strategy Manager
Employers in this source snapshot
Brex 5Paconsulting 3Capitalone 2Gartner 2Mastercard 2

What the postings ask this role to do

853 tasks extracted from real AI Strategist job descriptions, classified Automate / Augment / Human-only. In this source classification, 3.5% of task statements are automation candidates. The share does not measure working time or demonstrated agent performance.

Automate
  • Track qa automation rates.
  • Track time-to-resolution improvements.
  • Track agent productivity.
  • Measure internal ai adoption and impact.
Augment
  • Prioritize where ai can improve efficiency and customer experience.
  • Track coaching effectiveness.
  • Develop and deploy agent-assist tooling.
  • Develop and deploy real-time guidance systems.
  • Expand ai across chat, voice, and email channels.
Human-only
  • Lead the cx strategy team.
  • Set direction for the cx strategy team.
  • Partner with product and engineering to shape the ai roadmap.
  • Own the cx ai roadmap from opportunity discovery through implementation.
  • Communicate ai performance and strategy to cx leadership and executive stakeholders.
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.