Chief AI Officer
- Canada
Compensation for this cohort ranges from $180k to $330k annually. · Full-time
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Job details
- Pay
- Compensation for this cohort ranges from $180k to $330k annually.
- Job type
- Full-time
- Experience
- 12+ years of experience building and scaling AI, machine learning, or data science capabilities, with at least 5 years in a leadership or executive role
- Posting language
- English
- Posted
Original job description
Axial Search is a specialist executive search firm built for one kind of hire: leaders who help organizations navigate AI transformation. Apply today to express your interest in roles like this one.
Visit our website to learn more about our process and explore free tools for your job search, including our live job market dashboard with salary, skills and hiring trend data from thousands of AI transformation roles.
What The Market Looks Like
Chief AI Officer roles in Canada remain sparse but growing - we've tracked 9 executive-level AI strategy postings across the country over the last six months, concentrated in Ontario, Quebec, and British Columbia. Technology, financial services, and professional services firms are leading hires. Compensation for this cohort ranges from $180k to $330k annually. The strongest candidates combine deep technical fluency with board-level communication skills, proven experience scaling AI initiatives across large organizations, and the ability to translate business strategy into executable AI roadmaps.
Job Responsibilities
Visit our website to learn more about our process and explore free tools for your job search, including our live job market dashboard with salary, skills and hiring trend data from thousands of AI transformation roles.
What The Market Looks Like
Chief AI Officer roles in Canada remain sparse but growing - we've tracked 9 executive-level AI strategy postings across the country over the last six months, concentrated in Ontario, Quebec, and British Columbia. Technology, financial services, and professional services firms are leading hires. Compensation for this cohort ranges from $180k to $330k annually. The strongest candidates combine deep technical fluency with board-level communication skills, proven experience scaling AI initiatives across large organizations, and the ability to translate business strategy into executable AI roadmaps.
Job Responsibilities
- Own the development and execution of the organization's AI strategy, including technology roadmap, capability building, and integration across business units
- Lead the assessment, evaluation, and deployment of AI tools and platforms to drive competitive advantage and operational efficiency
- Build and scale high-performing teams - data scientists, ML engineers, and AI specialists - while fostering a culture of experimentation and continuous learning
- Partner with C-suite and board members to translate AI opportunities into business outcomes, manage risk, and secure investment and resources
- Drive cross-functional collaboration to identify use cases, pilot programs, and full-scale implementations across the enterprise
- Establish governance frameworks, ethical guardrails, and compliance standards for responsible AI deployment
- Represent the organization externally - engage with industry peers, vendors, and thought leaders to stay ahead of market trends
- 12+ years of experience building and scaling AI, machine learning, or data science capabilities, with at least 5 years in a leadership or executive role
- Proven track record taking AI initiatives from strategy through implementation and measuring business impact at scale
- Strong technical foundation - hands-on knowledge of ML/AI architectures, generative AI, and modern data platforms; you don't need to code daily, but you speak the language fluently
- Experience leading and recruiting technical talent, building organizational structures, and embedding AI literacy across non-technical teams
- Demonstrated ability to communicate complex AI concepts to non-technical audiences and influence executive and board-level decision-making
- Understanding of AI governance, ethics, risk, and compliance in regulated or risk-sensitive industries
More about this job
Responsibilities
Develop and execute the organization’s AI strategy, oversee AI platform evaluation and deployment, and build high-performing technical teams. Partner with executives and board members to scale AI initiatives, establish responsible AI governance, and drive enterprise-wide adoption.
Requirements
Requires 12+ years of experience building and scaling AI, machine learning, or data science capabilities, including at least five years in a leadership or executive role. Candidates need strong technical fluency, a record of delivering measurable AI outcomes at scale, experience leading technical teams, and knowledge of AI governance, ethics, risk, and compliance.
Skills
- AI Strategy
- Machine Learning
- Generative AI
- AI Architecture
- Data Platforms
- AI Roadmapping
- AI Implementation
- Team Leadership
- Talent Recruitment
- Executive Communication
- Board-Level Communication
- Cross-Functional Collaboration
- AI Governance
- AI Ethics
- Risk Management
- Regulatory Compliance
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Management & Leadership
- Data & Analytics
- Software
- Consulting
Keywords
- Artificial Intelligence
- AI Strategy
- Machine Learning
- Data Science
- Generative AI
- AI Architectures
- Modern Data Platforms
- Technology Roadmap
- AI Capability Building
- AI Tools
- AI Platforms
- AI Deployment
- AI Initiatives
- Business Impact
- Organizational Scaling
- Data Scientists
- Machine Learning Engineers
- AI Specialists
- Executive Leadership
- Board Communication
- Cross-Functional Collaboration
- Use Cases
- Pilot Programs
- Enterprise Implementation
- AI Governance
- Responsible AI
- Ethical Guardrails
- Risk Management
- Compliance
- AI Literacy