AI Governance Specialist

Role Summary Reporting to the Director, AI Architecture & Governance, this role executes and maintains the AI Standards and Processes, governance tooling, AI inventory, and compliance evidence that operationalize the team's AI governance framework. It provides the day-to-day, hands-on capacity behind the governance and compliance function. Responsibilities Develops and maintains the AI Standards and Processes covering acceptable use, model risk management, third-party AI vendor assessment, and AI data governance Operationalizes AI data governance controls for AI-specific concerns: training data provenance and lineage, PII handling in training and inference pipelines, data bias and representativeness requirements, consent management, and right-to-erasure implications for trained models Tracks the evolving regulatory landscape and drafts updates to the AI standards and processes for review Maintains the AI inventory and model registry; audits entries for completeness and accuracy while project teams register and maintain their own Assembles and maintains compliance evidence (audit trails, control attestations, regulatory mappings) demonstrating adherence to AI regulations and internal standards Builds and operates governance tooling and automation (dashboards, audit trails, compliance checks) Background & Qualifications Experience in AI/ML governance, compliance, technology risk, or a related regulatory function Working knowledge of AI-specific frameworks and legislation (NIST AI RMF, ISO 42001 & 23053, EU AI Act, and the proliferating landscape of US state-level AI legislation) Experience with policy or standards development, regulatory tracking, and compliance evidence/documentation Experience with GRC processes, data governance, or audit methodology is a plus Skills Authoring and maintaining standards, processes, and governance documentation Regulatory tracking and translation of requirements into actionable AI standards and processes AI data governance: data provenance and lineage, PII handling, bias and representativeness, consent management Compliance evidence and audit-trail management AI inventory and model registry maintenance Governance tooling and automation (dashboards, audit trails, compliance checks) Cross-functional collaboration with Legal and Engineering Vacancy Status This posting is for an existing vacancy. Base Salary The anticipated base salary range for this position is CAD $95,000 to $135,000 annually. Final base salary will be determined based on geographical location, experience, and qualifications. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! It is the policy of Mobility to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Mobility will provide reasonable accommodations for qualified individuals with disabilities.

The role is responsible for executing and maintaining AI standards, processes, and governance tooling to operationalize the AI governance framework. This includes managing the AI inventory, tracking regulatory landscapes, and assembling compliance evidence for internal and external audits.

Candidates need experience in AI/ML governance, technology risk, or regulatory functions with working knowledge of frameworks like NIST AI RMF and the EU AI Act. Experience in policy development, GRC processes, and data governance is highly preferred.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• AI Governance
• Regulatory Tracking
• AI Data Governance
• Compliance Evidence Management
• Model Registry Maintenance
• Governance Tooling Automation
• Cross-functional Collaboration
• Policy Development
• Risk Management
• Audit Methodology

• Data & Analytics
• Legal
• Technology
• Management & Leadership
• Software

Expérience minimale

5+ ans

Postuler avant le

16 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Mid-Senior level