Algorithm Accountability Officer

Artificial Intelligence (AI) Governance & Standards Employee

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Overview

As an Algorithm Accountability Officer, you'll play a critical role in ensuring that artificial intelligence systems used across the Department of National Defence operate fairly, transparently, and in accordance with Government of Canada standards. You'll be responsible for reviewing AI algorithms, assessing their potential impacts, and recommending governance measures to minimize risks and ensure compliance with federal regulations and ethical guidelines. This position sits at the intersection of technology, policy, and accountability, making it essential to the responsible deployment of AI within DND operations. Your daily responsibilities will include evaluating algorithmic decision-making systems, conducting impact assessments, documenting AI governance frameworks, and collaborating with technical teams, policy advisors, and senior leadership. You'll develop audit trails, create accountability reports, and ensure that AI systems align with the Treasury Board Directive on Automated Decision-Making and other relevant federal policies. You'll also stay current with evolving AI standards and best practices, contributing to the development of internal guidelines and recommendations. You'll work in a dynamic environment where your expertise helps shape how defence and security operations leverage AI responsibly. This role requires strong analytical skills, attention to detail, and the ability to communicate complex technical concepts to non-technical stakeholders. You may work as part of a specialized AI governance team or embedded within larger IT and strategic planning divisions, depending on your posting location.

Key Responsibilities

Contribute to artificial intelligence (ai) governance & standards projects and initiatives, Develop, test, and deploy AI/ML models and solutions, Analyze data to support evidence-based decision-making, Document technical approaches and ensure responsible AI practices

Required Skills

Python/R programming, Machine learning frameworks, Data analysis, Statistical modelling, Critical thinking, Technical proficiency, Attention to detail, Collaboration, Continuous learning

Typical Education

Post-secondary education or equivalent experience relevant to the position

Training

To succeed as an Algorithm Accountability Officer, you'll typically need a bachelor's degree in computer science, engineering, data science, mathematics, public policy, law, or a related field. Some positions may accept equivalent professional experience in lieu of formal education. Strong foundational knowledge of machine learning, artificial intelligence concepts, and statistical methods is important, though you don't necessarily need to be a software developer. The Government of Canada invests in professional development for employees in emerging fields like AI governance. You may pursue certifications in AI ethics, responsible AI, or data governance through professional organizations and online platforms. Security clearance training (Secret or Top Secret, depending on your assignment) is typically required for DND positions. Ongoing training in government policy, Treasury Board directives, and departmental AI standards will be provided throughout your career. Many employees also develop expertise through participation in interdepartmental working groups and attendance at federal AI governance forums.

Entry Plans

You can enter this career through several pathways within the federal Public Service. The most common route is through a public competition for the Algorithm Accountability Officer position, typically at the AS (Applied Science and Operations Research) classification level or equivalent. These competitions are advertised on the Government of Canada Jobs website and are open to Canadian citizens, permanent residents, and other eligible candidates. If you're already a federal public servant, you may be able to transition into this role through an internal competition or a lateral move if you have relevant experience in IT, policy analysis, data governance, or quality assurance. The Canadian Armed Forces also offers opportunities for military personnel to transition into civilian AI governance roles as part of career progression initiatives. Student and early-career programs such as the Federal Student Work Program or the Post-Secondary Recruitment Campaign (PSRC) may provide pathways to gain experience in AI-related positions before applying for permanent Algorithm Accountability Officer roles. Co-op placements and internships within DND's AI and innovation directorates can also build your credentials and help you network with hiring managers.

Part-Time Options

Part-time and flexible work arrangements for Algorithm Accountability Officer positions are generally available on a case-by-case basis, depending on operational requirements and management approval. Many employees in this role work full-time due to the need for continuity in governance and compliance oversight, though some positions may offer reduced hours or job-sharing opportunities. Remote and hybrid work options have become increasingly common for AI governance roles across the federal government. Depending on your specific posting and departmental needs, you may be able to work from home for a portion of your week, with required in-person attendance for meetings, collaborative sessions, and security-sensitive activities. The pandemic accelerated adoption of flexible work arrangements in DND civilian positions, and many teams now operate with hybrid schedules. Flexibility is typically negotiated as part of your employment agreement and may be subject to security clearance requirements and the sensitive nature of defence-related AI systems you'll be reviewing.