AI Governance Lead / Manager || Remote (Montreal, QC) || Fulltime FTE
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
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Define and implement AI governance, risk, and compliance frameworks .
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Establish policies, standards, and controls for AI/GenAI solutions .
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Ensure compliance with regulatory, privacy, security, and ethical AI requirements.
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Lead AI risk assessments, model reviews, and approval processes .
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Monitor AI models for performance, bias, explainability, transparency, and accountability.
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Drive AI lifecycle governance across development, deployment, and operations.
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Partner with Legal, Security, Data, Risk, and Business teams to align AI initiatives with enterprise requirements.
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Develop governance dashboards, KPIs, metrics, and executive reporting .
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Monitor evolving AI regulations, standards, and industry best practices.
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Promote Responsible AI awareness and governance adoption across business units.
Required Skills
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Strong understanding of AI/ML, Generative AI, LLMs, and MLOps .
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Experience in AI Governance, AI Risk Management, Compliance, or Data Governance .
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Knowledge of Responsible AI principles, Model Risk Management, and AI regulations .
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Familiarity with NIST AI RMF, ISO/IEC 42001, EU AI Act, and Microsoft Responsible AI .
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Strong understanding of AI lifecycle governance, risk assessment, and compliance controls.
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Excellent stakeholder management, leadership, and executive communication skills.
Preferred Qualifications
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Bachelor's or Master's degree in Computer Science, Data Science, Risk, Governance, or a related field .
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8+ years of experience in AI, data, governance, risk, compliance, or related roles.
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Relevant certifications in AI, Risk, Security, or Governance are preferred.
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Experience working with enterprise AI governance frameworks and cross-functional teams is an asset.
Success Measures
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AI regulatory compliance and audit readiness .
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Reduction in AI-related risk exposure .
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Increased adoption of AI governance processes across business units.
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Improved transparency, trust, and business value from AI investments.
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