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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
Candidate requirements
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