Lead Information Security Analyst, Continuous AI Risk Management Expert (T & I) (Telework/Hybrid)

Lead Information Security Analyst, Continuous AI Risk Management Expert (T & I) (Telework/Hybrid)

20 Sep
|
Radio-Canada
|
Montreal

20 Sep

Radio-Canada

Montreal

Position Title

Lead Information Security Analyst, Continuous AI Risk Management Expert (T & I) (Telework/Hybrid)

Status Of Employment

Contractee Long-Term (Durée déterminée)

Position Language Requirement

English, French

Language Skills

English (Reading - C - Advanced), English (Speaking - C - Advanced), English (Writing - B - Intermediate), French (Reading - C - Advanced), French (Speaking - C - Advanced), French (Writing - B - Intermediate)

Work at CBC/Radio-Canada

At CBC/Radio-Canada, we create content that informs, entertains and connects Canadians on multiple platforms. Our successes and accomplishments are driven by embodying and upholding values, which include creativity, integrity, inclusiveness and relevance.

Do you think you have the ability and drive to keep up with this exciting, ever-changing industry? Whether it be in front of the camera, on air, online or behind the scenes, you would be joining a team that thrives on making connections and telling stories that are important to Canadians.

Unposting Date

2026-09-29 11:59 PM

Behind the scenes, but ahead of the curve: help us develop the next-generation public service media organization.

Technology & Infrastructure (T&I;) is the backbone and the future-forward arm of CBC/Radio-Canada. Our purpose is to constantly innovate to evolve and maintain the Corporation’s technology and infrastructure. We are the people that make stuff work. We make connections between media content, systems, people and places. We are the space in between.

A place with purpose. CBC/Radio-Canada has always been a highly regarded pioneer of media technology — not just in Canada but around the world. Today, we are transforming ourselves into a modern and agile public service media organization. Technology is the driving force, and we are the team making it happen.

This is a hybrid role with a mix of in-office and remote work.



Work arrangements will be discussed with hiring managers per departmental guidelines.

Your Role

CBC/Radio-Canada is seeking a Lead Analyst, Continuous AI Risk Management Expert, to design, build and lead the enterprise-wide governance, security and continuous risk management program for artificial intelligence (covering both traditional AI and generative AI) across the Corporation.

In this role, you will design and deploy an enterprise AI risk assessment framework and conduct continuous evaluations of AI systems throughout the AI life cycle (from design to production). You will collaborate closely with data protection analysts, as well as the legal, compliance and enterprise architecture teams, to identify, measure and mitigate cybersecurity risks associated with AI technologies.

This position can be based in Montreal or Toronto.

What’s In It For You

Challenges. We spend our days solving problems of all kinds. Media files are highly nuanced and incredibly complicated; updating, installing and supporting technologies that are organization-wide and that impact broadcasting content is a time-sensitive, complex technical feat. And that’s just the beginning. You’ll be working with leading-edge data management, cloud, IP broadcasting, AI, security and reliability technologies.

As Lead Analyst, You Will

- Design and deploy the AI risk assessment framework: Develop, formalize and implement a standardized risk assessment methodology tailored to AI systems,



including ethical impact matrices, model criticality criteria, bias analysis, algorithmic vulnerability assessments and data exposure risks.
- Support enterprise AI governance architecture: Collaborate closely with architecture teams and governance committees to design, integrate and evolve the security foundation for AI technologies across the Corporation.
- Maintain the AI inventory and classification: Build and manage a centralized registry of all AI systems, models (internal, SaaS, open-source) and AI agents deployed across the organization, classified by risk level.
- Conduct continuous model risk assessments: Perform technical risk evaluations on current AI use cases, analyzing training data security, prompt/query confidentiality, algorithmic bias and intellectual property risks.
- Perform AI security testing: Define and execute specialized security and adversarial testing for AI and large language models (LLMs).
- Assess third-party AI and SaaS solutions: Partner with the Third-Party Risk Management (TPRM) Analyst to evaluate the security posture, privacy controls and model-training policies of external vendors. Provide specialized AI expertise to analyze contractual data-use terms (e.g., ensuring corporate data is not used for model training), evaluate SaaS API security and verify privacy guarantees in third-party environments.
- Manage the AI risk register: Document, maintain and map AI-specific model vulnerabilities, technical debt and approved exceptions in the risk register.
- Assess program maturity: Conduct periodic evaluations of AI governance maturity, developing dashboards and tracking key performance indicators (KPIs) and key risk indicators (KRIs) for executive and governance committees.
- Maintain industry expertise: Stay current on information security best practices

📌 Lead Information Security Analyst, Continuous AI Risk Management Expert (T & I) (Telework/Hybrid)
🏢 Radio-Canada
📍 Montreal

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