What is it like to be an AI & Cloud Governance Lead at Northbridge Financial The AI & Cloud Governance Lead role ensures that AI solutions and Cloud platforms are used safely, responsibly, securely, and in compliance with internal policies and external regulations—while still enabling innovation and business value. This role works across the organization to ensure all facets are considered. If you are excellent at: Designing and maintain the enterprise AI governance framework, covering: Responsible/ethical AI principles Model lifecycle governance (design, development, testing, deployment, monitoring, retirement), agent monitoring, risk assessments and approval, and accountability expectations. Developing and maintain AI‑specific policies, standards, and guidelines, including acceptable use, transparency, explainability, and risk classification. Establishing an engagement model and build controls to ensure all AI initiatives are captured and associate a risk rating with each initiative. Identifying and assess AI risks such as:



Bias and fairness, privacy and data misuse, security vulnerabilities, and hallucinations and model drift. Maintaining an AI inventory / model register and map risks to controls. Defining and track AI‑related KRIs and issues requiring remediation or escalation. Monitoring evolving AI regulations and standards (e.G., OSFI Guidelines (E-23), NIST and CIS v8) Ensuring AI use cases and vendors align with legal, regulatory, and contractual obligations. Supporting audit readiness for AI governance, including evidence, attestations, and documentation. Act as a central coordination point across: Legal, ERM, Privacy Security, Architecture, Data Science, Engineering, Product and, Business Owners. Embed governance checkpoints into existing SDLC / MLOps processes rather than operating as a separate gate. Defining and maintain cloud governance standards for:

📌 Ai & Cloud Govarnance Lead (Toronto)
🏢 Kibbi
📍 Toronto