Senior Technical Delivery Manager Sovereign AI
Montreal-based non-profit academic AI research institute advancing machine learning through open-science research, talent development, technology transfer, responsible AI, and industry innovation.
Funding history
Investors
About Mila – Québec Artificial Intelligence Institute
Mila is a non-profit AI research hub created through collaboration between Université de Montréal and McGill University, with Polytechnique Montréal and HEC Montréal. Its community conducts machine-learning research and supports AI adoption, training, and technology transfer.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead end-to-end partner deployments, from discovery and feasibility assessment through planning, deployment, operational handoff, and adoption review. You will coordinate concurrent deployments, manage delivery plans and risks, align technical and executive stakeholders, gather partner feedback, and turn deployment lessons into reusable playbooks and product recommendations.
Requirements
- Five or more years of technical delivery, technical project or program management, enterprise software implementation, or comparable customer-facing experience
- Experience leading complex software or platform deployments for external enterprise customers or partners
- Experience managing concurrent deployments, scope, milestones, dependencies, risks, stakeholder communication, and acceptance criteria
- Technical fluency with cloud or on-premises infrastructure, containers, orchestration, networking, security, and operational readiness
- Working knowledge of AI systems including model serving, retrieval, agent orchestration, evaluation, and observability
- Experience conducting customer or user discovery and forming product recommendations
- Strong written and verbal English and French communication skills
- Relevant university degree or equivalent professional experience
Responsibilities
- Lead partner discovery and assess deployment feasibility with Engineering
- Define and maintain delivery plans, scope, milestones, dependencies, risks, resources, and acceptance criteria
- Serve as the partner’s primary delivery contact and communicate progress, decisions, risks, and changes
- Bridge internal teams and deployment partner teams throughout implementation
- Identify delivery risks and recommend changes to scope, sequencing, timing, or readiness
- Conduct structured feedback sessions with partner administrators and users
- Develop reusable playbooks, templates, acceptance criteria, and review practices
Benefits
- Comprehensive group insurance including health, dental, disability, life, travel, and extended benefits
- Employee and family assistance program
- Telemedicine service
- 20 days of vacation upon hiring
- Retirement savings plan with a minimum 4% employer contribution
- Flexible benefits package including lifestyle credits, enhanced insurance, additional vacation, and enhanced retirement contributions
- Flexible working hours
- Summer schedule
- Possibility of telecommuting