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Posted 11 days ago

Chief AI Officer

@ Axial Search

Canada

Full-time10+ years experience
Apply now
SIGNALS

Overview

Axial Search, a specialist executive search firm, is recruiting a Chief AI Officer on a full-time basis to own the organization's AI strategy from roadmap execution through board and C-suite reviews. The role leads AI/ML team building, governance and vendor decisions, and requires 10+ years in AI/ML or data work with at least 5 years in a senior leadership role.

Responsibilities:

  • Own the organization's AI strategy and roadmap
  • Lead AI/ML team recruitment, capability building and retention
  • Partner with business units to prioritize and measure AI use cases
  • Drive AI governance, risk and compliance frameworks
  • Manage vendor relationships and make or buy decisions on AI platforms

Requirements summary:

  • 10+ years in AI/ML, data science or data engineering
  • 5+ years in a director, VP or chief-level leadership role
  • Hands-on technical literacy in LLMs, ML models and data architecture
  • Track record of shipping AI to production at enterprise scale
  • Experience with AI governance, model risk and ethical considerations
  • Board or C-suite presentation skills
Source and dates

Source type not verified · apify-linkedin

Employer posting date
2026-11-03
First seen by our source
2026-11-14
Source record updated
2026-11-14

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SeniorityExecutive
DepartmentBusiness operations
Experience10+ years
Management experience5+ years
Manages peopleYes
Hours per week40 (estimated)
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer moderate

Summary and details written by AI from the posting; the employer’s posting is the authority.

Axial Search

FieldValue
Open jobs on Jobsy2
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

We've tracked 12 executive-level AI strategy postings across Canada in the last six months, with concentration in Toronto, Montreal, and Vancouver. The strongest candidates bring a blend of hands-on AI/ML fluency and boardroom credibility: they've shipped AI initiatives end-to-end, can articulate business value in financial terms, and know how to govern risk and talent. Compensation for this cohort ranges from $180K to $330K annually, depending on company stage and scope. Technology, financial services, and professional services firms are leading the hiring.

Job Responsibilities

  • Own the organization's AI strategy, from competitive positioning through roadmap execution and quarterly business reviews with the board or C-suite
  • Lead AI/ML team recruitment, capability building, and retention; set technical standards and foster a culture of experimentation and accountability
  • Partner with business units to identify high-impact AI use cases, prioritize investment, and measure ROI across pilots and production deployments
  • Drive governance, risk, and compliance frameworks around model governance, data quality, and ethical AI; ensure alignment with regulatory requirements
  • Manage vendor relationships and make or buy decisions on platforms, tools, and third-party AI services
  • Communicate AI capability, progress, and market trends to executives, boards, and stakeholders; shape organizational readiness and change management
  • Integrate AI strategy with existing digital and business transformation initiatives; work across finance, operations, and product teams

Candidate Requirements

  • 10+ years in AI/ML, data science, or data engineering; at least 5 years in a leadership role (director, VP, or Chief-level) responsible for strategy, team, and P&L
  • Hands-on technical literacy: familiarity with model types (LLMs, classical ML, etc.), training and deployment pipelines, and data architecture; not required to code, but must review technical work credibly
  • Proven track record shipping AI products or capabilities in production; experience scaling from proof-of-concept to enterprise deployment
  • Experience navigating AI governance, model risk, bias, compliance, and ethical considerations in regulated or high-stakes environments
  • Board or C-suite presentation skills; ability to translate technical complexity into business impact and secure executive buy-in
  • Experience building and leading high-performing technical teams; comfort recruiting, retaining, and developing AI talent in a competitive market
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All of CanadaRemote · Hybrid · On-site · Field

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