AI Governance and Risk Implementation Lead

1. month contract.

Loc: Toronto, ON

Hybrid

This is an individual contributor / subject matter expert role

About the Role

The successful candidate will be responsible for helping implement the AI governance roadmap, facilitating cross-functional collaboration across the AI lifecycle, developing governance processes and controls, and providing status reporting to senior leadership.

Key qualifications include experience with the NIST AI RMF, ISO 42001, executive-level communication, and the ability to translate governance requirements into technical language and vice versa.

- The role is primarily governance-focused rather than cybersecurity-focused.
- Client recently developed a NIST AI Risk Management Framework (AI RMF) playbook.
- An initial maturity assessment was completed to identify current-state gaps and opportunities for improvement.
- A 12-month roadmap was created to address identified gaps and operationalize standards, guardrails, processes, and controls supporting responsible AI adoption.

Role Scope and Responsibilities

- Partner with stakeholders throughout the AI lifecycle, from intake through decommissioning.
- Operationalize AI governance standards, guardrails, processes, and controls.
- Lead and support cross-functional working sessions.
- Develop materials in advance of governance discussions.
- Help establish an operating model, including ownership,



cadence, and governance processes.
- Provide ongoing status reporting and progress updates to senior management, particularly within Technology.

What they will do

- Apply NIST AI RMF concepts across the AI lifecycle, including integration into existing governance, risk management, and monitoring activities.
- Develop, implement, and operationalize AI governance standards, procedures, and guidance aligned with the NIST AI RMF maturity assessment findings.
- Facilitate cross-functional working sessions and help establish a sustainable AI governance operating model.
- Develop scalable workflows and control guidance to support consistent AI governance implementation across the enterprise.
- Translate AI principles and risk requirements into explicit control expectations, review checkpoints, and implementation guidance.
- Develop executive-level presentation materials to communicate NIST AI RMF priorities, implementation progress, and key risk considerations.
- Partner with the Project Manager to support workstream planning, monitor deliverables, and enable timely execution against agreed priorities.

AI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.

📌 AI Governance and Risk Implementation Lead - mississauga
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