Expert AI Governance Advisor

Beneva

. Contribute to the establishment and operationalization of the artificial intelligence governance framework .

Posted 9/23/2026full-timeLongueuil • CanadaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI Governance Frameworks, including the development and operationalization of policies and controls throughout the AI solution lifecycle. Proficient in risk management, regulatory compliance, and data governance, with strong communication skills in both French and English.

Highest-signal resume keywords

AI Governance Framework DevelopmentRisk ManagementRegulatory ComplianceData GovernanceAI Model Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Model DevelopmentData IntegrityRisk ManagementModel Lifecycle ManagementQuantitative Tools ProficiencyData Management MethodologiesGovernance Framework OperationalizationGovernance Metrics AnalysisAI Risk AssessmentData Protection

Soft Skills

Communication SkillsStakeholder EngagementFacilitation Skills

Industry Keywords

Artificial Intelligence GovernanceGenerative AIMachine LearningRegulatory FrameworksAutorité Des Marchés Financiers (AMF)Data UtilizationComplianceBusiness ProcessesGovernance PracticesAI Risk Management Culture

About the role

Key responsibilities & impact

Contribute to the establishment and operationalization of the artificial intelligence governance framework
Define, evolve, and ensure the application of the artificial intelligence governance framework, including policies, directives, processes, procedures, and controls covering the entire AI solution lifecycle
Operationalize the artificial intelligence governance framework through the various dedicated governance bodies
Develop and enhance governance practices applicable to generative AI, machine learning, agentic AI, and emerging technologies
Maintain strategic awareness of the regulatory landscape, industry practices, and expectations of oversight bodies
Conduct, review, and challenge risk assessments for AI solutions
Design and evolve methodologies, criteria, tools, and mechanisms for assessing artificial intelligence-related risk
Define governance requirements and controls applicable to the AI solution lifecycle
Act as a subject-matter advisor to business teams and specialized partners
Integrate AI governance requirements into the inventory, classification, monitoring, and portfolio management processes for AI solutions
Produce and present governance metrics, analyses, and reports to senior management and decision-making bodies
Promote the adoption of an AI risk management culture by facilitating governance forums and supporting stakeholders

Requirements

What you’ll need

Bachelor’s degree and a minimum of ten (10) years of experience in a data-related field such as computer science, business intelligence, business administration, actuarial science, statistics, or an equivalent discipline
A minimum of four (4) years of relevant experience in roles related to AI model development, AI governance, data governance, data utilization, data protection, data management disciplines, compliance, or the operationalization of governance frameworks
Expertise in AI model development, data integrity, regulatory compliance, information security, risk management, and model lifecycle management
Proficiency with quantitative tools and programming
Knowledge of one or more data management methodologies, with the ability to apply them at the enterprise level
Experience defining and evolving business processes or deploying training and awareness programs
Knowledge of regulatory frameworks, such as the Autorité des marchés financiers (AMF) guideline on the use of AI
Fluency in French, both spoken and written
Advanced proficiency in English, both spoken and written

Benefits

Comp & perks

Equal opportunity employer
Full-time regular position