New Roles · AI Operators & Cross-Functional Roles
Head of AI. The role, the market signal, and how to build it in your org.
Function-level AI leader (Head of AI for Marketing, Head of AI Enablement, Head of International Applied AI). The most heterogeneous exec title in the AI stack.
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.
18 postings · 18 distinct titles · from 264,613 real job postings · see the live data →
What the market calls it
Head of AIHead of AI StrategyHead of AI Enablement
Hiring this role in our corpus right now
Statestreet 5Truist 3Citi 2Amperity 1Databricks 1
What the postings ask this role to do
414 tasks extracted from real Head of AI job descriptions, classified Automate / Augment / Human-only. Only 1.4% can be fully automated: companies are hiring this role for the judgment, not the keystrokes.
Automate
- View open positions
- Join the talent community
- Automate monitoring, scaling, and recovery for ai workloads
- Maintain an implementation roadmap for the procurement model.
- Report the region’s progress against plan on a regular basis.
Augment
- Build reusable frameworks, apis, and components to accelerate ai adoption across product lines.
- Serve as a trusted engineering partner to business executives by translating strategic goals into technical blueprints.
- Translate complex business requirements into engineered ai and genai solutions that deliver measurable business outcomes.
- Establish and enforce ai engineering standards, including model observability, version control, and performance telemetry.
- Architect and lead the development of llm-based, agentic, and machine-learning systems that integrate with enterprise data and technology platforms.
Human-only
- Foster a builder culture rooted in experimentation, delivery, and responsible innovation.
- Guide engineering teams in model development, fine-tuning, and deployment, ensuring performance, security, and compliance.
- Partner with divisional leaders and their engineering, product, and operations teams to identify high-impact use cases and embed ai capabilities into existing workflows.
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 workflows this role supports: the outcomes, decisions, and handoffs it owns. Task Intelligence examines the tasks within that work and how people and agents can share responsibility.2. Define your version
Your team composes the job description for your org's variant of the role, grounded in those responsibilities and the task evidence rather than a copied template.3. Practise and assess readiness
Build on the domain and technical expertise your people already bring. Use relevant Simulations, GenAI Sandboxes, and Skill Validation Assessments to practise changed responsibilities and demonstrate capability. Revisit preparation when the work changes.Start with the work, not the org chart.
Define what this role will own, then connect those responsibilities to practice and assessment.