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Posted 3 days ago

AI Governance Specialist

@ Hydro One

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Toronto, Ontario

Contract3+ years experience
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SIGNALS

Overview

Hydro One is hiring a contractor AI Governance Specialist for an existing vacancy. The role registers and assesses AI models and tools against the Enterprise AI Policy and frameworks such as NIST AI RMF, ISO/IEC 42001 and the EU AI Act, and bridges technical teams with governance bodies. The posting requires a bachelor's degree, 3+ years of AI/ML lifecycle or stewardship experience, and 3+ years of model risk or compliance experience.

Responsibilities:

  • Register AI models and maintain model cards and TEVV evidence
  • Conduct AI risk assessments and classify risk tiers
  • Monitor model performance, drift and lifecycle compliance
  • Validate data lineage and quality for AI training datasets
  • Advise on AI governance in development and procurement reviews

Requirements summary:

  • Bachelor's degree in Data Science, Computer Science or Engineering
  • 3+ years in AI/ML lifecycle management or stewardship
  • 3+ years in model risk or risk/compliance management
  • Knowledge of NIST AI RMF, ISO/IEC 42001 and EU AI Act
  • Experience with data cataloging, lineage tools and AI platforms

Tools & skills

AI registryData cataloging toolsData lineage toolsDLPRBACDevOps/ALM tools
Source and dates

Source type not verified · apify-linkedin

Employer posting date
2026-11-11
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

SenioritySenior
DepartmentData & analytics
Experience3+ years
Travelair: none · ground: none
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
EducationBachelor’s degree (required), Master’s degree (preferred)
Fields of studyData Science, Computer Science, Engineering

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

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Hydro One

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Job description

Description

This is a temporary contractor position for an existing vacancy.

Purpose

The AI Governance Specialist ensures that all AI models and related data assets comply with the organization's Enterprise AI Policy, Responsible AI principles, and regulatory obligations (e.g., NIST AI RMF, ISO/IEC 23894, ISO/IEC 42001, EU AI Act, Canada AIDA). This role bridges technical teams and governance bodies to maintain transparency, accountability, and ethical standards across the AI lifecycle.

Key Responsibilities

  • Model Governance & Compliance: Register all AI models in the enterprise AI registry; maintain Model Cards, TEVV evidence, fairness/bias assessments; ensure Responsible AI requirements (lawful basis, data minimization, bias testing, explainability, security controls).
  • AI Risk Assessments & Management: Conduct AI risk assessments for all AI tools, agents, and systems developed internally or purchased from vendors, using the Enterprise AI Risk Framework; classify each by risk tier, document risks and required controls, and escalate high-risk cases.
  • Lifecycle Oversight: Monitor model performance, drift, and compliance with TEVV standards; coordinate periodic attestations for NIST/ISO/EU AI Act readiness; support decommissioning and archival processes.
  • Data Stewardship: Validate data lineage, metadata, and quality for AI training datasets; collaborate with Business Data Stewards to enforce data governance policies.
  • Policy & Standards Enablement: Act as a subject matter expert for AI governance in development and procurement reviews; provide guidance on Enterprise AI Policy and Data & AI Risk assessment processes, ensuring risk assessments cover all AI systems.
  • Training & Awareness: Educate teams on Responsible AI practices, compliance workflows; and governance training modules.

Qualifications

  • Bachelor's degree in Data Science, Computer Science, Engineering, or related field; advanced degree preferred.
  • 3+ years in AI/ML development AI/ML lifecycle management or AI/ML stewardship
  • 3+ years experience of model risk, or risk/compliance management.
  • Practical knowledge of AI governance frameworks (NIST AI RMF, ISO/IEC 23894, or ISO/IEC 42001) and emerging regulations (EU AI Act, Canada AIDA).
  • Experience with data cataloging and lineage tools and AI platforms; familiarity with TEVV practices.
  • Strong understanding of privacy, security, and regulatory compliance in AI contexts (PIA/DPIA, DLP, RBAC).

Skills

  • Excellent communication and stakeholder management; ability to translate technical AI concepts into governance requirements.
  • Analytical mindset with attention to detail and risk awareness; strong documentation discipline.
  • Familiarity with DevOps/ALM controls, audit logging, and service principal usage for secure integrations.

Performance Metrics

  • Percentage of AI models registered and compliant with governance standards.
  • Timeliness and completeness of risk assessments, attestations, and model documentation.
  • Reduction in governance exceptions and audit findings; closure rate of remediation actions.

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