AI Manager

Building the space between proven and possible MDA Space (TSX:MDA) is a trusted mission partner to the global space industry. A robotics satellite systems and geointelligence pioneer with a 55-year story of world firsts and more than 450 missions MDA Space is a global leader in communications satellites Earth and space observation and space exploration and infrastructure. The MDA Space team of more than 3800 space experts in Canada the US and the UK has the knowledge and know-how to turn an audacious customer vision into an achievable mission bringing to bear a one-of-a-kind mix of experience engineering excellence and wide-eyed wonder thats been in our DNA since day one. For those who dream big and push boundaries on the ground and in the stars to change the world for the better well take you there.

About the Role

We are seeking a Manager - Artificial Intelligence (AI) to partner closely with the Senior Director of Artificial Intelligence (AI) within MDA Spaces enterprise Technology Office. This role serves as the operational and enablement lead for the AI function helping translate strategy into action coordinating delivery and supporting responsible secure and effective adoption of AI across the organization.

This individual will operate at the intersection of AI delivery stakeholder enablement policy stewardship and dayâtoâday execution ensuring that AI initiatives are wellâexecuted monitored catalogued and aligned with organizational standards and values.

Key Responsibilities:

AI Project Management

• Build and own roadâmaps schedules and budgets for enterprise AI initiatives
• Lead the internal AI squad (product testing data set creation toolâchain design) and keep work focused on clear shortâterm goals
• Turn strategic direction into dayâtoâday tasks and monitor live AI tools for bugs or misuse driving fixes fast.

Stakeholder Engagement & Enablement

• Serve as the goâto operational contact for any team that wants to use AI or ChatMDA
• Manage intake triage and response to AI requests across the organization
• Run lunchâandâlearns demos and knowledgeâsharing sessions; coâcreate AI training programs with Learning & Development
• Champion changeâmanagement to accelerate safe adoption

Responsible AI & Data Security Stewardship

• Embed the companys AI policies governance and ethical standards into every project.
• Partner with Cybersecurity IT Legal Compliance and HR to ensure privacy dataâsecurity and proper use.
• Produce quickâreference guides FAQs and training that make the rules easy to follow.

Knowledge Management & Communications

• Curate a living AI knowledge base consisting of FAQs internal site pages approvedâtool lists bestâpractice guides.
• Keep all AI documentation upâtoâdate clear and aligned with policy

• Deliver consistent messaging on AI capabilities limits and acceptable use

UseâCase Discovery & Continuous Improvement

• Scan the business for new AI/automation opportunities
• Work with owners to evaluate feasibility ROI and readiness
• Run pilots build data sets and iterate solutions for higher impact

Vendor & Partner Coordination

• Liaise with external AI vendors track deliverables and verify they meet internal standards.
• Lead earlyâstage demos and assessments to vet new partners

Documentation & Leadership Support

• Draft review and polish AIârelated proposals briefs FAQs and presentations
• Prepare concise updates for senior leadership and governance boards
• Ensure transparent decisionâmaking and traceability of all AI work

Key Competencies:

• Experience supporting enterprise AI platforms (e.g. copilots chatbots internal AI assistants)
• Familiarity with Agile or iterative delivery models
• Experience working in corporate shared services or centralized enablement functions
• Experience partnering with learning & development cybersecurity legal and/or compliance teams
• Strong curiosity about responsible AI and practical businessâdriven AI use cases

Required Work Experience and Skills:

• Bachelors degree in computer science engineering or related fields
• 5 years of experience in program management operations product enablement or technology delivery roles
• Experience working with AI data analytics or digital transformation initiatives
• Deep understanding of GenAI including high-impact use cases for enterprises safety and security considerations prompt engineering techniques shortcomings failure modes and mitigation strategies and adoption and quality metrics
• Demonstrated ability to coordinate teams manage priorities and deliver across multiple parallel initiatives
• Strong understanding of enterprise considerations such as data security privacy and governance
• Excellent written and verbal communication skills including documentation and training content
• Comfortable operating in environments with ambiguity rapid change and evolving technology

Nice to Have:

• PMP Certification

Special Considerations:

Successful candidates must obtain and hold security clearance at thesecret status level and pass security assessment for the Controlled Goods Program (CGP) and be able to obtain higher clearances.

Benefits Statement:

MDA Space offers competitive compensation and benefits to its employees at all of its locations. As a member of the MDA Space team you and your eligible dependents can enroll in a benefits plan that provides a comprehensive level of protection through competitive health care including: health care plans supplemental and flexible drug plans dental and vision benefits disability income protection life insurance group retirement savings plans and an employee assistance program and to their family.

Equal Opportunity Statement:

MDA Space is an equal opportunity employer with a strong focus on diversity and inclusion. We are committed to treating all employees and candidates with respect and dignity. If you require assistance or a reasonable accommodation due to a disability during the application or recruitment process please let us know.

The compensation range for this position is $00 annually. The specific compensation offered will be based on the qualifications and experience of the successful candidate.

Required Experience:

Manager