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SPECIALIST CAREERS · CANADA & THE US

AI governance jobs

Help organizations make and document sound decisions about AI. Explore responsible AI, governance and risk-focused roles alongside their employer requirements.

AI risk assessmentUse-case reviewProgram deliveryTechnical communication

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Deloitte Curated from employer

AI Governance Manager

Remote · Canada · Toronto / Ottawa / Halifax · Permanent

AI governanceRiskPrivacy
Pay: see employerView role Source checked 2026-10-29

Each role shows its source-check date and known location restrictions. A listing can close before its review window ends; confirm current availability with the employer. How we review listings.

UNDERSTAND THE WORK

AI governance
career guide.

By TaskBull AIJobs · Updated October 30, 2026

What AI governance professionals work on

AI governance connects organizational decisions with the systems people build and use. Work can include reviewing use cases, identifying risks, documenting ownership and tracking actions across a program. Teams may collaborate with engineering, privacy, legal and business functions. The practical question is how a proposed use is assessed and monitored over time, rather than whether a policy document exists.

Compare analyst, manager and responsible AI roles

AI governance analyst, manager and responsible AI titles can involve different levels of ownership. Some positions emphasize technical evaluation; others need program management, risk assessment or stakeholder coordination. A manager vacancy requiring several years of relevant experience should not be treated as an entry-level route. Compare the stated responsibilities with evidence from your own technical or transferable work.

Use frameworks as tools for structured thinking

Frameworks can help organize questions, evidence and responsibilities. NIST’s AI Risk Management Framework is one voluntary reference; it is not a universal legal requirement. For a portfolio exercise, describe a bounded AI use case, its stakeholders, possible failures and a review process. Explain assumptions and follow-up actions. Avoid claiming that a checklist alone establishes legal compliance or eliminates risk.

Check the scope of the role and the hiring location

Before applying, distinguish governance delivery from hands-on security or model research. Ask which functions own decisions and how the team measures progress. Remote roles can list particular Canadian or US locations, and regulated or customer-facing work may have additional requirements. Confirm compensation, permitted working locations and authorization directly with the employer.

Sources and reading

Career guidance draws on the examples below and TaskBull’s editorial analysis. Employer sources describe their own roles; they do not endorse this board.

BEFORE YOU APPLY

Your career
questions.

Do AI governance jobs require coding?

It depends on the role. Technical evaluation positions can require programming; program and risk roles may emphasize other skills. Read the actual qualifications instead of assuming every governance job is coding-free.

Are responsible AI jobs the same as AI safety engineering?

They can collaborate, but governance often centers on organizational processes, ownership and risk decisions. Safety engineering can build technical tools, safeguards and evaluations. Compare the scope of each vacancy.