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Chief AI Officer / Head of AI
Chief AI Officer / Head of AI
The Chief AI Officer / Head of AI is a senior executive responsible for leading an organization's artificial intelligence strategy, development, and implementation. This role involves integrating AI technologies into business operations, products, and decision-making processes to drive innovation and competitive advantage, as well as overseeing AI research, data science teams, and machine learning engineers.
About the role
Role Description
A Chief AI Officer (CAIO) / Head of AI is a senior executive responsible for leading an organization’s artificial intelligence strategy, development, and implementation. This role ensures AI technologies are effectively integrated into business operations, products, and decision-making processes to drive innovation and competitive advantage.
Key Responsibilities
- Develop and execute the organization’s AI strategy and roadmap aligned with business goals.
- Lead the design, development, and deployment of AI and machine learning solutions.
- Identify opportunities to apply AI technologies to improve products, services, and internal operations.
- Oversee AI research, data science teams, and machine learning engineers.
- Ensure ethical, responsible, and compliant use of AI technologies.
- Collaborate with executives such as CTO, CIO, CDO, and product leaders to integrate AI across the organization.
- Establish AI governance frameworks, standards, and best practices.
- Manage AI infrastructure, data pipelines, and model deployment strategies.
- Monitor the performance, scalability, and impact of AI systems.
- Stay informed on emerging AI technologies and industry trends to maintain competitive advantage.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or related field.
- PhD is often preferred for research-intensive organizations.
- 10–15+ years of experience in AI, machine learning, data science, or advanced analytics roles.
- Proven experience leading AI teams or large-scale AI initiatives.
- Strong knowledge of machine learning, deep learning, natural language processing, and data engineering.
- Experience with AI platforms, cloud computing, and big data technologies.
- Strong leadership, strategic thinking, and cross-functional collaboration skills.
- Understanding of AI ethics, governance, and regulatory considerations.