Business Operations manager-AI program manager

3 days ago

SainteAnnedeBellevue QC, Montreal Regional Municipality, QC; Montréal region; Québec Province, Canada Socket.dev Full-time

Building the space between proven and possible, MDA Space 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 global MDA Space team of more than 5,500 space experts 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 that’s 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, we’ll take you there. For more information, visit

We are looking for an AI Program Manager to join our satellite systems team at our Montreal office.

We are seeking an AI Program Manager to partner with local business departments and enable the responsible adoption of AI across the business unit. This role serves as the operational and enablement lead for the AI function by translating strategy into execution, coordinating delivery, and supporting secure, effective, and value-driven AI adoption.

The AI Program Manager will operate at the intersection of AI delivery, stakeholder enablement, policy stewardship, and day-to-day execution to ensure AI initiatives are well governed, well monitored, clearly catalogued, and aligned with organizational standards and values.

About the Role

Key Responsibilities

AI Project Management

  • Lead planning, budgeting, scheduling, and execution of core enterprise AI initiatives
  • Develop, prioritize, and coordinate the AI roadmap for the business unit
  • Coordinate with the internal AI development team on product evaluation, benchmarking, dataset creation, and the development or adaptation of AI tools and workflows while ensuring compliance with corporate policies
  • Translate strategic AI direction into actionable plans and day-to-day execution
  • Monitor deployed AI tools, identify issues, and coordinate timely resolution with the appropriate teams

Stakeholder Engagement & Enablement

  • Act as a primary operational point of contact for business teams engaging with AI capabilities
  • Manage intake, triage, and response for day-to-day AI and ChatMDA inquiries from across the site
  • Support change management and adoption efforts to help teams use AI effectively and appropriately

Responsible AI & Data Security Stewardship

  • Uphold, promote, and help operationalize the organization’s AI policies, standards, and governance principles
  • Champion responsible AI practices, including cyber and data security, privacy, and appropriate use of AI tools

Knowledge Management & Communications

  • Develop, maintain, and curate AI knowledge assets, including FAQs, internal web pages, approved AI tools lists, and guidance materials
  • Ensure AI documentation is clear, accurate, current, and aligned with policy and security expectations
  • Share lessons learned and practical knowledge with other business areas

Use-Case Discovery & Continuous Improvement

  • Proactively identify and explore new AI and automation use cases within the business area
  • Collaborate with stakeholders to assess feasibility, value, and readiness of potential AI applications
  • Support business area experimentation, pilots, dataset generation, and iterative improvement of AI solutions

Required Experience & Qualifications

  • 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
  • Excellent written and verbal communication skills,