AI Manager

MDA•Brampton, ON

About The Position

We are seeking a Manager - Artificial Intelligence (AI) to partner closely with the Senior Director of Artificial Intelligence (AI) within MDA Space’s 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 day‑to‑day execution, ensuring that AI initiatives are well‑executed, monitored, catalogued, and aligned with organizational standards and values.

Requirements

Bachelor’s 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
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, business‑driven AI use cases

Nice To Haves

PMP Certification

Responsibilities

Build and own road‑maps, schedules, and budgets for enterprise AI initiatives
Lead the internal AI squad (product testing, data set creation, tool‑chain design) and keep work focused on clear, short‑term goals
Turn strategic direction into day‑to‑day tasks and monitor live AI tools for bugs or misuse, driving fixes fast.
Serve as the go‑to operational contact for any team that wants to use AI or ChatMDA
Manage intake, triage, and response to AI requests across the organization
Run lunch‑and‑learns, demos, and knowledge‑sharing sessions; co‑create AI training programs with Learning & Development
Champion change‑management to accelerate safe adoption
Embed the company’s AI policies, governance, and ethical standards into every project.
Partner with Cybersecurity, IT, Legal, Compliance, and HR to ensure privacy, data‑security, and proper use.
Produce quick‑reference guides, FAQs, and training that make the rules easy to follow.
Curate a living AI knowledge base consisting of FAQs, internal site pages, approved‑tool lists, best‑practice guides.
Keep all AI documentation up‑to‑date, clear, and aligned with policy
Deliver consistent messaging on AI capabilities, limits, and acceptable use
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
Liaise with external AI vendors, track deliverables, and verify they meet internal standards.
Lead early‑stage demos and assessments to vet new partners
Draft, review, and polish AI‑related proposals, briefs, FAQs, and presentations
Prepare concise updates for senior leadership and governance boards
Ensure transparent decision‑making and traceability of all AI work