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Added 1 hour ago
GD
AI Governance & Risk Manager
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Ottawa, ON
- $120,000 to $160,000 CAD / year
- Full-time
The Manager, AI Governance & Risk will help position responsible AI as a business enabler and competitive differentiator, fostering an environment where innovation can scale with confidence.
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General Dynamics Mission Systems–Canada

AI Governance & Risk Manager

Ottawa, ON, Canada

$120,000 to $160,000 CAD / year · Full-time

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Job details

Pay: $120,000 to $160,000 CAD / year
Job type: Full-time
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

Build bold. Deliver impact. Win together.

At General Dynamics Mission Systems–Canada, we’re not just engineering technology - we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical solutions that enhance national security, strengthen communities, and protect the people we serve.

If you’re looking for meaningful work that contributes to a safer, more secure world, you’ll find purpose here. Every day, your skills will directly impact programs that matter.

Job Description

Reporting to the Chief Digital & Information Officer (CDIO), the Manager, AI Governance & Risk will lead the establishment, execution, and continuous evolution of the enterprise AI governance program.

At General Dynamics Mission Systems, governance is not viewed as a control mechanism designed to restrict innovation. Rather, governance provides the guardrails, accountability, and trusted operating framework within which ideation, experimentation, and creativity can thrive. The objective of this role is to enable the safe, responsible, and accelerated adoption of artificial intelligence across the enterprise while reducing organizational, regulatory, security, privacy, and operational risk.

This leader will serve as the organization’s primary authority for AI governance, partnering with business leaders, technologists, cybersecurity teams, legal counsel, privacy professionals, data practitioners, and operational stakeholders to ensure AI solutions deliver business value while meeting corporate, customer, and regulatory requirements.

The successful candidate will establish governance frameworks that are proportional to risk, enabling low-risk innovation to move quickly while ensuring appropriate oversight for higher-risk use cases. This role requires a blend of strategic leadership, risk management expertise, technical understanding of modern AI systems, and the ability to influence outcomes across the enterprise without direct authority.

The Manager, AI Governance & Risk will help position responsible AI as a business enabler and competitive differentiator, fostering an environment where innovation can scale with confidence.

Key Responsibilities

AI Governance Strategy & Leadership

Develop and maintain the enterprise AI Governance Framework, including policies, standards, operating procedures, controls, and oversight mechanisms.
Establish a scalable governance operating model supporting Generative AI, Agentic AI, Machine Learning, and Intelligent Automation initiatives.
Provide strategic guidance to executive leadership regarding AI governance, responsible AI, regulatory developments, and enterprise risk.
Drive organizational alignment around responsible AI principles and governance expectations.
Serve as the primary escalation and decision-support authority for AI governance matters.
Promote governance as an enabler of innovation, ensuring guardrails are practical, proportionate to risk, and focused on enabling positive business outcomes.

AI Risk Management

Conduct and oversee AI risk assessments for new and existing AI systems, applications, platforms, and use cases.
Develop and maintain AI risk classification and risk-tiering methodologies.
Assess risks associated with Generative AI, Large Language Models, Agentic AI systems, autonomous decision-making, AI-enabled business processes, and third-party AI services.
Develop mitigation strategies and remediation plans for identified risks.
Maintain enterprise AI risk registers, issues logs, exceptions, and remediation tracking.

Responsible AI & Governance Operations

Develop governance review processes that support rapid experimentation while ensuring appropriate safeguards.
Establish AI intake, review, approval, and monitoring processes.
Create reusable governance templates, assessment frameworks, playbooks, and guidance materials.
Define governance requirements relating to human oversight, explainability, transparency, security, data privacy, intellectual property protection, model monitoring, and accountability.
Build self-service governance capabilities that empower teams to assess and manage low-risk use cases efficiently.

Agentic AI Governance

Develop governance approaches for agentic and autonomous AI systems.
Assess AI capabilities involving tool calling, agent-to-agent communications, Retrieval-Augmented Generation, memory systems, external integrations, autonomous workflow execution, and human approval gates.
Evaluate operational, technical, legal, and compliance risks associated with advanced AI architectures.
Establish governance guardrails appropriate to system autonomy, decision reversibility, mission impact, and business risk.

Policy, Compliance & Regulatory Oversight

Maintain AI governance policies and standards in alignment with organizational objectives.
Monitor the evolving AI regulatory and compliance landscape.
Translate regulatory, contractual, and corporate requirements into practical governance controls.
Support enterprise compliance efforts relating to NIST AI RMF, NIST Cybersecurity Framework, CMMC, DFARS, ITAR, Controlled Goods, privacy legislation, export controls, ISO/IEC 42001, and customer-specific AI requirements.
Coordinate governance evidence and reporting activities supporting audits and assessments.

Metrics, Reporting & Executive Communications

Develop AI governance metrics, key performance indicators, and maturity measures.
Produce executive-level reporting on governance effectiveness, emerging risks, compliance posture, and program health.
Provide recommendations to leadership regarding governance priorities, investment opportunities, and risk treatment strategies.
Develop dashboards and reporting mechanisms that demonstrate both risk reduction and innovation enablement outcomes.

Cross-Functional Collaboration

Partner with leaders across Information Technology, Cybersecurity, Data & Analytics, Legal, Privacy, Engineering, Security, Contracts, Human Resources, and Business Operations.
Facilitate governance review boards and stakeholder working groups.
Provide coaching and guidance to project teams and business leaders adopting AI technologies.
Foster a culture of responsible experimentation, ideation, creativity, and continuous learning.

Qualifications

Required Qualifications

Bachelor’s degree in Computer Science, Information Systems, Cybersecurity, Risk Management, Business Administration, Data Science, Engineering, or a related discipline.
Minimum 10 years of relevant experience in AI governance, technology governance, cybersecurity, risk management, compliance, data governance, internal audit, enterprise architecture, or a related discipline.
Demonstrated experience developing governance frameworks, policies, standards, or enterprise controls.
Strong understanding of modern AI technologies, including Generative AI, Large Language Models, Agentic AI, Machine Learning, and Intelligent Automation.
Experience conducting risk assessments and translating complex requirements into actionable, proportionate controls and guardrails.
Strong understanding of enterprise governance, risk, and compliance principles.
Excellent executive communication, presentation, stakeholder management, and influencing skills.
Demonstrated ability to operate independently and drive cross-functional outcomes.

Preferred Qualifications

Master’s degree in a related field.
Experience establishing or operating an enterprise AI governance program.
Experience within a regulated industry such as aerospace, defence, government, financial services, or critical infrastructure.
Experience with Microsoft Copilot, Azure AI Foundry, OpenAI, Anthropic, Google AI, or similar enterprise AI platforms.
Experience supporting enterprise AI adoption at scale.
Familiarity with cloud governance, cybersecurity governance, and data governance programs.
Active security clearance or the ability to obtain and maintain a security clearance.

Preferred Certifications in any of the following:

IAPP Artificial Intelligence Governance Professional (AIGP)
Certified Information Systems Security Professional (CISSP)
Certified Information Security Manager (CISM)
Certified in Risk and Information Systems Control (CRISC)
Certified Information Systems Auditor (CISA)
Certified in the Governance of Enterprise IT (CGEIT)
ISO/IEC 42001 Lead Implementer or Lead Auditor
Project Management Professional (PMP)

It is a requirement that General Dynamics Mission Systems-Canada be registered with the Canadian Controlled Goods program and that all of its workforce be security assessed. Successful applicants must meet all applicable security requirements, including but not limited to the ability to obtain and maintain a Canadian government security clearance. Applicants may be required to meet additional security requirements in order to gain access to technical data, classified areas or information that is subject to international regulations. You must be eligible to work in Canada.

Additional Information

The hiring range for this position is $120,000 - $160,000 CAD annually. This role is eligible for a management incentive plan. Our goal is to provide a fair and competitive offer based on an assessment of internal equity and your qualifications, including:

Relevant experience
Technical and non-technical skills
Education and certifications

Benefits

As a full-time employee at General Dynamics Mission Systems–Canada, you’ll enjoy a competitive total rewards package that supports your professional and personal well-being:

Comprehensive medical, dental, and vision coverage for you and eligible dependents from day one (no cost), including flexible benefits options (HCSA) emergency travel insurance, and 24/7 virtual care services.
Employee & Family Assistance Program (EFAP), onsite fitness facilities, and employee resource groups.
Defined Contribution Pension Plan with employer contributions after 3 months, RRSP access from day one, and financial planning support.
Flexible time off including vacation, holidays, parental leaves with top-up options, sick leave, and disability programs.
Career development through learning platforms, educational assistance, mentoring, and reimbursement of professional memberships.
Additional perks such as employee discounts, free onsite parking, social clubs, and an annual scholarship program for employees’ children.

Why join us?

Purposeful Innovation: You’ll work on innovations that genuinely make a difference. You’ll apply advanced thinking, design expertise, and practical problem-solving to help equip military and allied forces with leading-edge systems. You’ll be surrounded by some of the brightest minds in the defence sector, contributing to next-generation technologies in an environment that celebrates creativity, new ideas, and modern solutions.
Connection: We believe people do their best work when they feel they belong, and their ideas can flourish. Different perspectives, experiences, and ways of thinking help us innovate and grow. Strong relationships with our teammates help us unite, overcome challenges, and deliver the world-class quality we’re known for. Here, we are committed to inclusivity and ensures every individual feels valued, respected, and empowered.
Challenging and Rewarding Career Pathways: Your career path matters to us. From mentorship and regular check-ins with your leader to educational support, professional certifications, and continuous training, you’ll have the resources you need to thrive. We encourage internal mobility so you can explore different business areas, broaden your skillset, and expand your network. You’ll be working on high-profile, impactful projects that challenge your skills, expand your expertise, and allow you to both learn from mentors and guide others along the way.

Accommodation

If you require accommodation during any stage of the application process, please contact Human Resources via recruitment@gd-ms.ca.

Closing Date

We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.

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More about this job

Responsibilities

Lead the enterprise AI governance program by developing its framework, operating model, risk assessments, policies, controls, and review processes for AI systems, including generative and agentic AI. Advise executives, coordinate cross-functional governance and compliance activities, and report on program effectiveness while enabling responsible AI adoption and innovation.

Requirements

A bachelor’s degree in a relevant discipline and at least 10 years of relevant experience are required, along with experience developing governance frameworks or controls and assessing technology risks. Candidates should understand modern AI systems and enterprise governance, risk, and compliance, and demonstrate strong executive communication, stakeholder influence, and cross-functional leadership; a master’s degree and relevant certifications are preferred.

Skills

AI Governance
AI Risk Management
Responsible AI
Generative AI
Large Language Models
Agentic AI
Machine Learning
Intelligent Automation
Risk Assessment
Governance Framework Development
Regulatory Compliance
Cybersecurity
Data Privacy
Executive Communication
Stakeholder Management
Cross-Functional Leadership

Benefits

Medical, Dental, And Vision Coverage
Flexible Benefits Options
Emergency Travel Insurance
Virtual Care Services
Employee And Family Assistance Program
Onsite Fitness Facilities
Employee Resource Groups
RRSP Access
Financial Planning Support
Flexible Time Off
Parental Leave Top-Up
Sick Leave
Disability Programs
Career Development And Learning Support
Educational Assistance
Mentoring
Professional Membership Reimbursement
Employee Discounts
Free Onsite Parking
Social Clubs
Annual Scholarship Program

Visa sponsorship

Not detected in the job text

Keywords

AI Governance Framework
Generative AI
Agentic AI
Large Language Models
Machine Learning
Intelligent Automation
Retrieval-Augmented Generation
Microsoft Copilot
Azure AI Foundry
OpenAI
Anthropic
Google AI
NIST AI RMF
NIST Cybersecurity Framework
CMMC
DFARS
ITAR
Controlled Goods Program
ISO/IEC 42001
IAPP AIGP
CISSP
CISM
CRISC
CISA
CGEIT
PMP
Risk Classification
Human Oversight
Model Monitoring
Responsible AI

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