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Head Of Artificial Intelligence Jobs (NOW HIRING)

Head of AI

OR · On-site +1

Head of Artificial Intelligence Role Summary The Head of Artificial Intelligence Practice (North America) leads strategy, growth, delivery excellence, and talent for the AI portfolio across U.S. and ...

Head of AI

OR · Remote

Head of Artificial Intelligence Role Summary The Head of Artificial Intelligence Practice (North America) leads strategy, growth, delivery excellence, and talent for the AI portfolio across U.S. and ...

The Head of Valuation will set the strategic vision for the function-spanning people, process, and technology, including the responsible adoption of artificial intelligence-and will build, scale, and ...

The Head of Valuation will set the strategic vision for the function-spanning people, process, and technology, including the responsible adoption of artificial intelligence-and will build, scale, and ...

The Head of Valuation will set the strategic vision for the function-spanning people, process, and technology, including the responsible adoption of artificial intelligence-and will build, scale, and ...

The Head of Valuation will set the strategic vision for the function-spanning people, process, and technology, including the responsible adoption of artificial intelligence-and will build, scale, and ...

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Head Of Artificial Intelligence information

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$22K

$96.6K

$221K

How much do head of artificial intelligence jobs pay per year?

As of Aug 16, 2026, the average yearly pay for head of artificial intelligence in the United States is $96,611.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $125,500.00 per year, depending on experience, location, and employer.

How does the head of artificial intelligence typically collaborate with cross-functional teams within an organization?

As the Head of Artificial Intelligence, you will regularly partner with teams across engineering, product management, operations, and executive leadership to ensure AI-driven initiatives align with overall business goals. Collaboration often involves defining project requirements, setting data strategies, and ensuring ethical AI practices. You may also mentor data scientists and machine learning engineers, while translating technical concepts for non-technical stakeholders. This cross-functional work is crucial for successful AI integration and driving organizational impact.

What does a head of artificial intelligence do?

A Head of Artificial Intelligence leads the strategy, development, and implementation of AI initiatives within an organization. They oversee AI research, manage data science and engineering teams, and collaborate with other departments to integrate AI solutions into business processes. Their responsibilities also include staying updated on the latest AI trends, ensuring ethical AI practices, and aligning AI projects with the company’s overall goals. They play a key role in driving innovation and maintaining a competitive edge through advanced technologies.

What is the difference between Head Of Artificial Intelligence vs Data Science Manager?

AspectHead Of Artificial IntelligenceData Science Manager
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fields; extensive experience in AI projectsDegree in Data Science, Statistics, or related fields; experience in data analysis and modeling
Work EnvironmentLeads AI teams, oversees AI strategy, and innovation in tech companiesManages data science teams, focuses on data analysis, and business insights
Employer & Industry UsageTech firms, AI startups, R&D departmentsFinance, healthcare, retail, and other industries with data-driven decision making

The Head Of Artificial Intelligence primarily focuses on leading AI strategy and innovation, requiring advanced technical credentials and experience in AI projects. In contrast, a Data Science Manager concentrates on managing data analysis teams and deriving insights from data. Both roles are vital in tech-driven industries but differ in scope and focus.

What are the key skills and qualifications needed to thrive as a head of artificial intelligence?

To thrive as a Head Of Artificial Intelligence, you need advanced expertise in machine learning, data science, and computer science, typically backed by a graduate degree and significant industry experience. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and project management tools, as well as relevant certifications, is crucial. Exceptional leadership, strategic thinking, and communication skills enable effective team management and cross-functional collaboration. These skills ensure successful AI project delivery, innovation, and alignment with organizational goals.
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Infographic showing various Head Of Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $96,611 per year, or $46.4 per hour.

Senior Manager of Artificial Intelligence

finnegan

Washington, DC • On-site

Full-time

Posted 5 days ago


Job description

The Senior Manager of AI leads the firm’s enterprise-wide artificial intelligence strategy and advances legal and operational excellence through responsible, impactful AI adoption. This role guides the transition from isolated experimentation to a cohesive, governed AI program that positions AI as a core business enablement function. Reporting to the Director of Litigation Technology and Knowledge Management, the Senior Manager of AI defines and executes a comprehensive AI roadmap, translating technical concepts into measurable business value across legal and operational workflows.

The role oversees the development, deployment, and optimization of AI and machine learning solutions, with a focus on cost efficiency, scalability, ethical use, and sustained impact. The Senior Manager serves as a trusted advisor and thought partner to firm leadership, working crossfunctionally with senior stakeholders to drive adoption, establish governance, and fosters a culture of innovation