As an Explainability Analyst with the Department of National Defence, you will play a critical role in ensuring that artificial intelligence systems used across defence and security operations are transparent, trustworthy, and accountable. You will analyze AI models and algorithms to understand how they make decisions, identify potential biases, and communicate complex technical findings to both technical and non-technical stakeholders. Your work directly supports DND's commitment to responsible AI adoption and helps ensure that AI systems align with Canadian values and defence requirements.
Your day-to-day responsibilities will include documenting AI system behaviour, conducting interpretability assessments, testing model outputs for fairness and accuracy, and developing clear explanations of AI decision-making processes. You will collaborate with data scientists, software developers, policy analysts, and military personnel to bridge the gap between technical complexity and operational understanding. You may also contribute to the development of guidelines, standards, and best practices for AI explainability across the department.
You will work in a modern, collaborative environment where innovation in defence technology is valued. Whether working from a DND office, in a hybrid arrangement, or supporting operations across Canada, you will be part of a growing team focused on leveraging AI responsibly to enhance Canada's defence capabilities.
Key Responsibilities
Contribute to artificial intelligence (ai) risk & performance evaluation 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 Explainability Analyst, you should have a bachelor's degree in computer science, mathematics, statistics, engineering, or a related field. Many candidates also pursue or hold a master's degree in AI, machine learning, data science, or a specialized field such as AI ethics or explainable AI. Relevant coursework should include machine learning fundamentals, data analysis, statistics, and programming languages such as Python or R.
Professional certifications in machine learning, data science, or AI can strengthen your application. The Government of Canada encourages ongoing professional development, and DND supports employees pursuing advanced credentials, certifications from recognized institutions, and participation in AI governance and ethics training. You may also have opportunities to attend conferences, workshops, and specialized training in emerging AI technologies, bias detection methodologies, and risk assessment frameworks.
Entry Plans
There are several pathways to join DND as an Explainability Analyst. The primary route is through open Public Service competitions advertised on the Government of Canada jobs website (jobs.gc.ca). These competitions are typically open to Canadian citizens and permanent residents. You may enter at different levels depending on your education, experience, and demonstrated competencies in AI analysis and technical communication.
If you are currently a student or recent graduate, you may qualify for one of DND's student recruitment programs or co-op placements, which provide valuable experience and a pathway to permanent employment. The Federal Student Work Experience Program (FSWEP) and Post-Secondary Recruitment Campaign (PSRC) are common entry points.
Experienced professionals working in other federal departments or the private sector may transition into this role through lateral moves or internal competitions. DND also periodically recruits from external talent pools and maintains eligibility lists from previous competitions. We encourage you to create a profile on the Government of Canada jobs website to receive notifications about relevant opportunities.
Part-Time Options
DND recognizes the importance of work-life balance and offers flexible work arrangements for many positions, including Explainability Analyst roles. Part-time and job-share opportunities may be available depending on operational needs and team structure. These arrangements are typically negotiated with your manager once you are hired.
Remote and hybrid work options are increasingly available across the federal government. Many analytical and research-focused tasks can be performed effectively from home, though some collaboration, meetings, and security-related requirements may necessitate time at a DND office. The specific flexibility available will depend on your location, security clearance status, and team requirements. Discussing your preferences with your hiring manager during the offer stage is an important step in establishing a work arrangement that suits both your needs and DND's operational priorities.
Related Careers
No related military careers on file for this position.
