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Added 24 mins ago
Program Assistant (80% FTE)
University of Toronto
Toronto, ON
…various programs. Programs are available to all undergraduate engineering disciplines and recent data indicate that approximately 70% of graduating students are completing one or more of…
Added 39 mins ago
Manager, Asset Management
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Rocky View No 44, AB · Rocky View County, AB
Reporting to the Director, Infrastructure Delivery & Capital Projects, the Manager, Asset Management leads the County’s corporate asset management program and oversees municipal land…
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Quality: incoming inspection, supplier quality and field failure data that feeds back to engineering
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Product Manager - AI Platform
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Work closely with ML, engineering, underwriting ops, and business stakeholders to define and deliver the roadmap
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Product Manager - AI Platform
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Work closely with ML, engineering, underwriting ops, and business stakeholders to define and deliver the roadmap
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Shape the future of air navigation services in Canada. Reporting to the Director, ATM and Safety Performance, the Manager, Air Traffic Management (ATM) and Safety Performance Analytics…
Added 2 hours ago
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Project Assistant
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RQ00833 - Program Manager - Senior
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Senior Technical Analyst, Data Engineering and Business Intelligence
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As a Senior Technical Analyst, Data Engineering and Business Intelligence, at Fidelity Investments Canada, you will focus on building, automating and scaling internal data pipelines and…
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Senior Lead Developer Back-End
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City Manager
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Montreal, QC · Urban agglomeration of Montreal, QC
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As the Director of Cyber Security Engineering, you will lead the strategic vision and implementation of advanced security frameworks, leveraging automation and AI/ML to enhance threat…
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Customer Supply Chain Intern (Jan-Sept 2027)
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As a Customer Supply Chain Intern, you will be part of a dedicated team based in Mississauga, Ontario and reporting to the Director, Customer Supply Chain.
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Data Scientist, Model Performance Monitoring and Reporting
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The Advanced Analytics and AI team is the central hub of data science and AI expertise within CIBC and is leading the way to apply the best practices in predictive science, machine…
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We are seeking an experienced Director, FinOps (Cloud Financial Management) to build, lead, and mature an enterprise FinOps program focused on delivering measurable and sustainable cloud…
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Added 22 hours ago
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Added 22 hours ago
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Rogers Communications

Mgr. Enterprise Risk Mgmt (AI & Cyber)

Toronto, ON, Canada

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Job details

Posting language: English
Posted: Sep 24, 2026

Original job description

Looking to join a growing financial services team? Rogers Bank, a subsidiary of Canada's leading wireless, cable and media company, is expanding and seeking passionate individuals to develop and implement innovative financial solutions and experiences. The bank offers unique cash-back benefits and financing options for Rogers purchases using cutting-edge technology. Interested? Take the next step and consider this opportunity to make a meaningful impact with Rogers Bank.

Who we are looking for:

As Manager, Enterprise Risk Management (AI, Cyber) for Rogers Bank, this position provides independent second-line oversight of artificial intelligence, technology and cyber risk. The role supports the responsible adoption of AI, machine learning, generative AI and agentic technologies within the Bank’s approved risk appetite and applicable regulatory expectations.

The Manager oversees risk across the AI lifecycle, from intake and risk classification through implementation, monitoring, material change and retirement. The role considers model, technology, cyber, third-party, data, privacy, operational, compliance, customer and reputational risks and provides independent advice and effective challenge to management.

What you will do:

Provide independent advice and effective challenge on AI use cases, third-party solutions and material changes, with clear recommendations to management and governance committees.
Assess whether AI risks have been identified, evaluated and managed appropriately and whether residual risk remains within approved risk appetite.
Oversee the completeness and quality of the AI inventory and its alignment, where applicable, with model, technology, data and third-party inventories.
Review the adequacy of lifecycle controls, including testing, validation, human oversight, access management, monitoring, incident response, fallback arrangements and retirement plans.
Define and monitor appropriate risk indicators and thresholds, including model performance, drift, stability, harmful or unexpected outputs, overrides, incidents and customer impacts.
Provide second-line oversight of AI-related technology, cyber and third-party risks, including data leakage, unauthorized access, model manipulation, insecure integrations, vendor dependency and operational resilience.
Coordinate the identification, escalation, remediation and closure of AI risk issues, regulatory findings and internal audit observations.
Monitor regulatory developments and emerging practices and recommend proportionate enhancements to the Bank’s AI risk framework.
Prepare clear reporting on material AI risks, use cases, incidents, issues and control effectiveness for senior management and governance committees.

What you bring:

Practical understanding of AI and machine-learning concepts, including generative AI, large language models, foundation models and agentic systems, sufficient to assess risks and challenge technical stakeholders.
Familiarity with recognized AI governance and risk frameworks, such as the NIST AI Risk Management Framework, EU AI Act, or comparable responsible-AI standards.
Experience assessing third-party AI, cloud platforms, customer-facing AI, automated decision systems, generative AI or agentic workflows.
Demonstrated ability to provide independent challenge, exercise sound judgement, and influence decisions without direct authority.
Excellent written and verbal communication skills, including the ability to explain complex technical and risk matters in plain language.
Proven ability to manage several priorities and work effectively across business, risk, technology and control functions.
Ability to work autonomously, driving commitment and engagement throughout the business, acting as an owner and a hands-on partner.
Undergraduate degree in computer science, engineering, data science, mathematics, statistics, information systems or a related discipline, or equivalent professional experience.

What’s in it for you?

We believe in investing in our people and helping them reach their potential as valuable members of our team. As part of our team, you’ll have access to a wide range of incredible resources, growth opportunities, discounts, and perks, including:

Competitive salary & annual bonus
Competitive & flexible health and dental benefits, pension plan, RRSP, TFSA, and Stock matching programs.
Discounts: Enjoy up to 50% off Rogers Services and Blue Jays Tickets, 25% off TSC items, and a 20% discount on all wireless accessories sold in Rogers stores.
Paid time off for volunteering
Company matching contributions to charities you support
Growth & Development Opportunities:
- Self-driven career development programs (E.g. MyPath program)
- Rogers First: priority in applying to internal roles of interest
Wellness Programs:
- Homewood employee & family assistance program
- Cognitive Behavioural Therapy (CBT) & Virtual therapy sessions
- Low or no-cost fitness membership with access to virtual classes
Our commitment to the environment and diversity:
- Work for an organization committed to environmental protection
- Strong commitment to diversity and inclusion with employee resource groups supporting equity-deserving groups including groups representing People of Colour, 2SLGBTQIA+, Indigenous Peoples, Persons with Disabilities and Women. We all bring something different, and we know what makes us different makes us great.

If you are selected to move forward in the recruitment process, here is what you can expect:

15-minute phone screen with your recruiter, an interview with Hiring Manager, a final round virtual interview with Director of the team. Best of luck!

To protect our people, brand and assets, a pre-employment background check will be conducted. As part of our selection process, all candidates must clear a criminal background check. Additionally, a credit check and drivers abstract may be required depending on the role.

Schedule: Full time Shift: Day Length of Contract: Not Applicable (Regular Position) Work Location: 1 Mount Pleasant (083), Toronto, ON Travel Requirements: None Background Check(s) Required: Criminal Record and Credit Check Posting Category/Function: Banking & Compliance Requisition ID: 343963

To support career growth, collaboration, and high-performing teams, all Corporate Employees are expected to work onsite. We believe that in-person connection strengthens our culture and drives industry-leading performance.

At Rogers, we believe the key to a strong business, is a diverse workforce where equity and inclusion are core to making everyone feel like they belong. We do this by embracing our diversity, celebrating our different perspectives, and working towards creating environments that empower our people to bring their whole selves to work. Everyone who applies for a job will be considered. We recognize the business value in creating a workplace where each team member has the tools to reach their full potential by removing any barriers for equal participation. We work with our candidates who are experiencing a disability throughout the recruitment process to ensure that they have what they need to be at their best. Please reach out to our recruiters and hiring managers to begin a conversation about how we can ensure that you deliver your best work. You matter to us! For any questions, please visit the Recruitment Process FAQ.

Posting Notes: No Selection

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More about this job

Responsibilities

The manager provides second-line oversight of AI, technology, and cyber risks, ensuring responsible adoption of AI technologies within the bank's risk appetite. They are responsible for assessing AI use cases, monitoring lifecycle controls, and providing independent advice to management and governance committees.

Requirements

Candidates must have a practical understanding of AI and machine learning concepts, including generative AI and large language models, along with familiarity with recognized AI risk frameworks. An undergraduate degree in computer science, engineering, data science, or a related field is required, combined with the ability to influence decisions and communicate complex technical matters.

Skills

Enterprise risk management
Artificial intelligence
Cybersecurity
Machine learning
Generative AI
Risk assessment
Regulatory compliance
Data privacy
Third-party risk management
Model validation
Technical communication
Stakeholder management
Governance frameworks
Operational resilience
Incident response

Benefits

Competitive salary
Annual bonus
Health and dental benefits
Pension plan
RRSP
TFSA
Stock matching programs
Employee discounts
Paid time off for volunteering
Charity matching
Career development programs
Wellness programs
Employee and family assistance program
Virtual therapy sessions
Fitness membership

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Risk Management
Artificial Intelligence
Cybersecurity
Machine Learning
Generative AI
Agentic Technologies
NIST AI Risk Management Framework
EU AI Act
Model Risk
Third-party Risk
Data Privacy
Operational Resilience
Regulatory Compliance
Cloud Platforms
Automated Decision Systems
Risk Appetite
Governance
Financial Services
Risk Framework
Internal Audit
Technical Oversight
Control Effectiveness
Risk Indicators
Vendor Dependency
Data Leakage

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