AI Governance Analyst / AI Governance Specialist / AI Governance Manager

Role Description The AI Governance Analyst / Specialist / Manager is a remote role focused on supporting responsible, compliant, and ethical use of AI within the Microsoft Learn Student Ambassadors Francophone community. Day-to-day tasks include assessing AI-related initiatives, identifying governance risks, and developing guidelines and best practices aligned with responsible AI principles. The role involves collaborating with student ambassadors and partner communities to review AI tools and content, ensure data protection and compliance with relevant standards, and promote transparency and accountability in AI usage. The AI Governance professional will draft policies, create educational materials, support training sessions in French and English, and help monitor adherence to governance frameworks across projects and events.

Qualifications

• AI governance and ethics skills, including familiarity with responsible AI principles, risk assessment, and policy development.
• Knowledge of data protection, privacy, and compliance frameworks relevant to AI (e.g., GDPR concepts, algorithmic transparency, fairness frameworks).
• Analytical and research skills to evaluate AI tools and initiatives, synthesize findings, and propose practical governance recommendations.
• Communication and documentation skills, including the ability to write clear guidelines, reports, and educational content in French and English.
• Collaboration and stakeholder engagement skills to work effectively with students, community leaders, and technical experts in a remote, multicultural environment.
• Basic understanding of AI technologies and machine learning concepts; experience with AI platforms or cloud services (e.g., Microsoft Azure AI) is an asset.
• Strong organizational and time management skills, with the ability to manage multiple initiatives and meet deadlines independently.
• Commitment to inclusion, accessibility, and non-discriminatory practices in technology and learning environments.
• Background in computer science, data science, law, ethics, public policy, or a related field is beneficial; students and early-career professionals are encouraged to apply.