Closed listing
Chief AI Officer
- Canada
Compensation for this cohort ranges from $180,000 to $350,000 annually. · Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- Compensation for this cohort ranges from $180,000 to $350,000 annually.
- Job type
- Full-time
- Experience
- 10+ years of experience leading AI, machine learning, data science, or related technical functions at the executive or senior director level
- Posting language
- English
- Posted
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Archived listing. The details below describe a past opening.
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
We've tracked 6 executive-level AI strategy postings in Canada over the last six months, concentrated in Toronto, Montreal, and Vancouver across technology, financial services, and professional services sectors. Organizations are moving beyond pilot programs and building permanent AI leadership functions - they need executives who can translate business strategy into AI capability and governance. Compensation for this cohort ranges from $180,000 to $350,000 annually. The strongest candidates combine deep AI/ML literacy with boardroom-ready communication skills, a track record of building scaled technical teams, and experience navigating organizational change at the executive level.
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
We've tracked 6 executive-level AI strategy postings in Canada over the last six months, concentrated in Toronto, Montreal, and Vancouver across technology, financial services, and professional services sectors. Organizations are moving beyond pilot programs and building permanent AI leadership functions - they need executives who can translate business strategy into AI capability and governance. Compensation for this cohort ranges from $180,000 to $350,000 annually. The strongest candidates combine deep AI/ML literacy with boardroom-ready communication skills, a track record of building scaled technical teams, and experience navigating organizational change at the executive level.
Job Responsibilities
- Develop and articulate the organization's AI strategy, including use-case prioritization, build-versus-buy decisions, and alignment with business objectives
- Own enterprise AI governance, risk management, and compliance frameworks - including data privacy, model governance, and responsible AI principles
- Build and scale the internal AI/ML team or partner ecosystem, including hiring leadership, defining talent development, and fostering technical culture
- Lead cross-functional collaboration with business units, technology, and legal teams to identify and operationalize high-impact AI initiatives
- Communicate AI roadmap, progress, and business impact to the board, C-suite, and stakeholders; translate technical concepts for non-technical audiences
- Stay current with AI capabilities, emerging tools, and market trends; benchmark competitive landscape and advise on build-or-partner strategies
- Define success metrics and measurement frameworks for AI investments; track ROI and organizational capability maturity
- 10+ years of experience leading AI, machine learning, data science, or related technical functions at the executive or senior director level
- Demonstrated success building and scaling technical teams of 20+ people, including hiring, retention, and leadership development
- Deep fluency in AI/ML fundamentals, current tools and frameworks, and real-world constraints of productionizing AI systems - not just theoretical knowledge
- Proven ability to translate between technical depth and business strategy; comfort presenting to boards and C-level executives
- Track record navigating organizational change, embedding new capabilities, and driving adoption of emerging technologies
- Experience with AI governance, responsible AI practices, data privacy regulation, or related risk/compliance frameworks
More about this job
Responsibilities
The Chief AI Officer will develop and articulate the organization's AI strategy while owning enterprise AI governance, risk management, and compliance frameworks. They are also responsible for building and scaling internal AI/ML teams and communicating the AI roadmap to the board and C-suite.
Requirements
Candidates must have 10+ years of experience leading technical functions at an executive level and a proven track record of scaling teams of 20+ people. Deep fluency in AI/ML fundamentals and experience navigating organizational change are essential requirements.
Skills
- AI Strategy
- Machine Learning
- Data Science
- AI Governance
- Risk Management
- Compliance Frameworks
- Data Privacy
- Technical Leadership
- Change Management
- Boardroom Communication
- Stakeholder Management
- Team Scaling
- ROI Measurement
- Business Strategy
- Model Governance
- Responsible AI
Visa sponsorship
Not detected in the job text
Categories
- Management & Leadership
- Technology
- Data & Analytics
- Consulting
- Software
Keywords
- AI Strategy
- Machine Learning
- Data Science
- AI Governance
- Risk Management
- Compliance
- Data Privacy
- Responsible AI
- Technical Leadership
- Change Management
- Boardroom Communication
- ROI
- Business Strategy
- Model Governance
- Executive Leadership
- Technology
- Financial Services
- Professional Services
- Talent Development
- Productionizing AI
- Build-versus-buy
- Cross-functional Collaboration
- AI Roadmap
- Capability Maturity
- Benchmarking