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AI Governance Lead / Manager || Remote (Montreal, QC) || Fulltime FTE

Full-time

Acestack

AI Governance Lead / Manager

Location: Montreal, QC - 100% Remote
Employment Type: Full-Time Permanent FTE

Role Purpose: Establish and operationalize AI governance frameworks to ensure responsible, secure, compliant, and value-driven adoption of AI across the enterprise.

Key Responsibilities

  • Define and implement AI governance, risk, and compliance frameworks .

  • Establish policies, standards, and controls for AI/GenAI solutions .

  • Ensure compliance with regulatory, privacy, security, and ethical AI requirements.

  • Lead AI risk assessments, model reviews, and approval processes .

  • Monitor AI models for performance, bias, explainability, transparency, and accountability.

  • Drive AI lifecycle governance across development, deployment, and operations.

  • Partner with Legal, Security, Data, Risk, and Business teams to align AI initiatives with enterprise requirements.

  • Develop governance dashboards, KPIs, metrics, and executive reporting .

  • Monitor evolving AI regulations, standards, and industry best practices.

  • Promote Responsible AI awareness and governance adoption across business units.

Required Skills

  • Strong understanding of AI/ML, Generative AI, LLMs, and MLOps .

  • Experience in AI Governance, AI Risk Management, Compliance, or Data Governance .

  • Knowledge of Responsible AI principles, Model Risk Management, and AI regulations .

  • Familiarity with NIST AI RMF, ISO/IEC 42001, EU AI Act, and Microsoft Responsible AI .

  • Strong understanding of AI lifecycle governance, risk assessment, and compliance controls.

  • Excellent stakeholder management, leadership, and executive communication skills.

Preferred Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Risk, Governance, or a related field .

  • 8+ years of experience in AI, data, governance, risk, compliance, or related roles.

  • Relevant certifications in AI, Risk, Security, or Governance are preferred.

  • Experience working with enterprise AI governance frameworks and cross-functional teams is an asset.

Success Measures

  • AI regulatory compliance and audit readiness .

  • Reduction in AI-related risk exposure .

  • Increased adoption of AI governance processes across business units.

  • Improved transparency, trust, and business value from AI investments.

Vacancy posted 1 day ago
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