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Hays

Lead AI Governance

Toronto, ON, Canada

$90 to $95 CAD / hour · Contract

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Job details

Pay: $90 to $95 CAD / hour
Job type: Contract
Apply by: Dec 2, 2026
Posting language: English
Posted: Nov 2, 2026

Original job description

Job Title: Lead AI Governance

Location: Toronto, ON (Onsite)

Duration: 06 Months contract with possibility of extension

Pay Rate: 90-95/hour on CAD on Inc.

Job Description:

We are seeking an experienced AI Governance Lead (Practitioner) to lead and operationalize AI governance and Responsible AI practices across enterprise AI, Generative AI, and agentic AI solutions. The role establishes practical governance mechanisms for AI use-case intake, inventory and classification, risk assessment, Responsible AI, model risk management, data/privacy, security, regulatory readiness, human oversight, deployment approval, and ongoing monitoring. The practitioner collaborates with business, AI engineering, architecture, cybersecurity, data governance, privacy, legal, compliance, and risk teams to ensure AI solutions are developed and operated responsibly throughout their lifecycle.

Responsibilities:

Implement and operationalize an enterprise AI Governance and Responsible AI framework.
Define governance policies, standards, controls, decision rights, and approval processes.
Establish clear accountability across business, engineering, data, security, privacy, legal, and risk functions.
Embed governance checkpoints into AI development and deployment processes.
AI Inventory, Classification & Risk Assessment
Maintain an inventory of enterprise AI systems and use cases and ensure accountable ownership for each.
Classify AI solutions by capability, business use, data sensitivity, and potential impact; establish risk-based governance requirements.
Maintain governance documentation and evidence.
Own model risk management practices for AI/GenAI models, including validation expectations and ongoing performance oversight.
Own AI approval processes, including governance gates and production release approvals.
Responsible AI, Lifecycle & GenAI / Agentic AI Governance
Embed Responsible AI principles (fairness, transparency, explainability, safety, privacy, human oversight) into the AI lifecycle.
Define governance controls specific to GenAI and agentic AI, including prompt-injection risk, tool/API access, guardrails, model evaluation, and model/data lineage. Regulatory Readiness, Third-Party AI & Assurance
Own regulatory readiness for AI, mapping controls to applicable regulations and frameworks.
Own third-party / vendor AI governance, including assessment of externally sourced AI solutions.
Lead governance assurance activities, including control testing, audit readiness, and support for internal and external audits.
Partner with security, privacy, and risk teams on AI risk, security, and privacy controls.
Establish continuous governance and monitoring for AI solutions in production.

Experience & Qualifications

Hands-on experience implementing an AI Governance or Responsible AI program.
Experience governing enterprise GenAI/LLM solutions.
Experience working with AI engineers, data scientists, and architects.
Experience conducting AI risk/control assessments and establishing AI inventories and risk classifications.
Experience supporting governance reviews and production approvals.
Experience with audits, regulatory compliance, and governance programs in regulated industries such as insurance or financial services.
Experience working with security, privacy, compliance, risk, and legal teams.
Experience assessing third-party/vendor AI solutions.

Must-Have Skills:

AI Governance and Responsible AI
AI risk management and model risk management
AI lifecycle governance
AI use-case classification and inventory/registry management
Governance controls and evidence
Human-in-the-loop governance
AI monitoring and oversight

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More about this job

Responsibilities

Lead the implementation and operation of enterprise AI governance and Responsible AI practices, including AI inventories, risk classification, model risk management, approval processes, and lifecycle monitoring. Establish governance controls for generative and agentic AI, oversee regulatory and third-party assurance, and coordinate with business, engineering, security, privacy, legal, compliance, and risk teams.

Requirements

Requires hands-on experience implementing AI governance or Responsible AI programs, governing enterprise GenAI/LLM solutions, and conducting AI risk assessments, inventories, classifications, and production reviews. Experience with audits, regulatory compliance, regulated industries, cross-functional risk and privacy teams, and third-party AI assessments is also required.

Skills

AI Governance
Responsible AI
AI Risk Management
Model Risk Management
AI Lifecycle Governance
AI Use-Case Classification
AI Inventory Management
Governance Controls
Governance Documentation
Human-in-the-Loop Governance
AI Monitoring and Oversight
Generative AI Governance
Agentic AI Governance
Regulatory Readiness
Third-Party AI Governance
Audit Readiness

Visa sponsorship

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Keywords

AI Governance
Responsible AI
Enterprise AI
Generative AI
Agentic AI
Large Language Models
AI Use-Case Intake
AI Inventory
AI Classification
Risk Assessment
Model Risk Management
Model Validation
Human Oversight
AI Lifecycle
Prompt Injection
Tool and API Access
Guardrails
Model Evaluation
Model and Data Lineage
Data Privacy
Cybersecurity
Regulatory Compliance
Third-Party AI
Vendor Governance
Control Testing
Audit Readiness
Production Approval
Continuous Monitoring
Financial Services
Insurance

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