Head of AI / ML: skills & capabilities the market requires
Based on 1,398 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 (63%) and Technical Depth (60%).
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Core capabilities for a Head of AI / ML
- Strategic Leadership — required in 63% of postings
- Technical Depth — required in 60% of postings
- Cross-functional Leadership — required in 41% of postings
- Executive Communication — required in 37% of postings
- Data & Analytics — required in 34% of postings
- People Leadership — required in 31% of postings
- Change & Transformation — required in 29% of postings
Most-required hard skills
- Machine Learning
- Data Analysis
- Python
- Data Science
- Generative Ai
- Data Analytics
- Data Governance
Leadership & soft skills
- Leadership
- Strategic Thinking
- Cross-Functional Collaboration
- Communication
Scope, experience & pay
Head of AI / ML roles expect deal / M&A experience in 1% of postings, IPO or capital markets in 1%, and transformation in 32%. Typical stated experience: 8 years. Pay signal from postings (base): $192K–$224K.
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