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General Dynamics

Builds submarines, combat vehicles and business jets

AI Governance & Risk Manager

Regulatory Compliance & EthicsConfirmed live in the last 24 hours
Full-timeOttawa, ON, CanadaHybrid

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Systems, Cybersecurity, Risk Management, Business Administration, Data Science, Engineering, or a related discipline.
  • At least 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.
  • Experience establishing governance frameworks that are proportional to risk and enable appropriate oversight.
  • Experience assessing AI systems, applications, platforms, use cases, and third-party AI services.
  • Ability to operate independently and drive cross-functional outcomes.
  • Eligibility to work in Canada and ability to obtain and maintain a Canadian government security clearance; additional security requirements may apply for access to technical data, classified areas, or internationally regulated information.

Responsibilities

  • Develop and maintain the enterprise AI Governance Framework, including policies, standards, operating procedures, controls, and oversight mechanisms.
  • Establish a scalable governance operating model for Generative AI, Agentic AI, Machine Learning, and Intelligent Automation initiatives.
  • Provide strategic guidance to executive leadership on 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 practical, risk-proportionate governance guardrails that enable positive business outcomes and innovation.
  • 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, issue logs, exceptions, and remediation tracking.
  • 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 for human oversight, explainability, transparency, security, data privacy, intellectual property protection, model monitoring, and accountability.
  • Build self-service governance capabilities to help teams assess and manage low-risk use cases efficiently.
  • 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.
  • 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 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.
  • 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 leadership recommendations on governance priorities, investment opportunities, and risk treatment strategies.
  • Develop dashboards and reporting mechanisms to demonstrate risk reduction and innovation enablement outcomes.
  • 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.

Desired Qualifications

  • A master's degree in a related field.
  • Experience establishing or operating an enterprise AI governance program.
  • Experience in 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.
  • A certification in one or more 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, or Project Management Professional (PMP).

About the Company

General Dynamics

Builds submarines, combat vehicles and business jets

General Dynamics builds warships, nuclear submarines, combat vehicles, and munitions for the U.S. military and allied governments, plus Gulfstream business jets for corporations and private owners. Gulfstream designs large, long-range jets and maintains them through its own service centers and completion shops. A separate technologies arm runs IT, cybersecurity, and command-and-control systems for defense and federal civilian agencies. The company earns its money from multiyear government contracts for ships, vehicles, and services, and the rest from selling and servicing jets. General Dynamics was founded in 1952 and is based in Reston, Virginia.

Company size
10,001+
Company stage
IPO
Headquarters
Reston, VA
Founded
1952

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