Head of AI / ML: skills & capabilities the market requires
Based on 730 real Head of AI / ML job postings, here is what companies actually require for this role today: the capabilities that define it, the hard skills named most often, the scope expected, typical experience and pay. The market leans hardest on Strategic Leadership (74%) and Technical Depth (66%).
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Core capabilities for a Head of AI / ML
- Strategic Leadership — required in 74% of postings
- Technical Depth — required in 66% of postings
- Cross-functional Leadership — required in 53% of postings
- People Leadership — required in 40% of postings
- Data & Analytics — required in 36% of postings
- Stakeholder Management — required in 34% of postings
- Change & Transformation — required in 34% of postings
Most-required hard skills
- Machine Learning
- Python
- Data Science
- Generative Ai
- Data Governance
- Ai/Machine Learning
- Data Architecture
Leadership & soft skills
- Cross-Functional Collaboration
- Strategic Thinking
- Leadership
- Stakeholder Management
Scope, experience & pay
Head of AI / ML roles expect deal / M&A experience in 1% of postings, IPO or capital markets in 0%, and transformation in 42%. Typical stated experience: 9 years. Pay signal from postings (base): $192K–$233K.
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