Project Manager / Product Owner - AI
- Montréal, QC
- Sur place
- Publié 20 août 2026
- 1 poste
Ouvre un site externe
- Type d’emploi
- Temps plein
- Niveau d’expérience
- Chef d’équipe · 10+ ans
- Formation minimale
- Diplôme professionnel
- Postuler avant le
- 16 févr. 2027
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Niveau d’expérience
- Mid-Senior level
- Mode de candidature
- La candidature directe est offerte
Résumé du poste
Lead cross-functional AI initiatives and enterprise deployments of LLMs like Microsoft Copilot and ChatGPT. Act as Product Owner to manage the AI portfolio backlog, delivery roadmap, and governance across multiple regions.
Détails du poste
We are hiring a seasoned Project Manager / Product Owner to lead cross-functional AI initiatives, with a primary focus on enterprise deployment and enablement of Microsoft Copilot, OpenAI ChatGPT, Anthropic Claude, Grok, Gemini, and other AI products. The role will drive multi-region programmes from discovery through rollout and adoption while owning the product backlog, delivery roadmap, governance, security, compliance, and business value. Own end-to-end delivery of AI enablement initiatives from planning and governance through rollout, hypercare, and handover. Act as Product Owner for the AI portfolio, managing backlog, priorities, acceptance criteria, and release planning. Manage integrated plans, RAID logs, scope, dependencies, decision records, and executive reporting. Coordinate AI product configuration, deployment, and scaling aligned with security, compliance, DLP/Purview, SSO/SCIM, access management, and audit logging. Partner with engineering and L3 teams on integrations including M365, Entra ID, ServiceNow, and Azure OpenAI. Lead AI risk assessments, governance reviews, and security/design reviews. Drive training, communications, adoption, enablement, and success metrics. Monitor usage, performance, cost efficiency, and business outcomes. Bilingual English/French strongly preferred for Montreal-based stakeholders. Mandatory Skills 8+ years of technology Project/Program Management experience in enterprise environments. Direct experience leading enterprise AI / LLM product deployments. Strong understanding of Generative AI and enterprise integration patterns. Experience with AI governance, risk, security, and compliance. Knowledge of DLP/Purview, access management, SSO/SCIM, audit logging, and encryption. Product Ownership experience including backlog management, acceptance criteria, and release planning. Strong stakeholder management, executive communication, risk management, and change managementskills. Experience with connectors and/or Power Platform. Familiarity with Python and/or PowerShell automation concepts. Experience in regulated industries / Financial Services is preferred. Nice to Have PMP and/or Scrum certification. BSc/BA in Computer Science, Engineering, or related field. Experience with M365, Entra ID, ServiceNow, Azure OpenAI, and Power Platform. Experience working across global time zones and follow operating models
Ce que vous ferez
Lead cross-functional AI initiatives and enterprise deployments of LLMs like Microsoft Copilot and ChatGPT. Act as Product Owner to manage the AI portfolio backlog, delivery roadmap, and governance across multiple regions.
Exigences
Requires over 8 years of technology project management experience with direct expertise in enterprise AI and LLM deployments. Candidates should have strong knowledge of AI security, compliance, and product ownership methodologies.
Compétences indiquées
- Gestion de projet · Souhaitée
- Python · Souhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Project Management
- Product Ownership
- Generative AI
- LLM Deployment
- AI Governance
- Risk Management
- Security Compliance
- Backlog Management
- Stakeholder Management
- Change Management
- DLP/Purview
- SSO/SCIM
- Power Platform
- Python
- PowerShell
- Azure OpenAI
Domaines d’emploi
- Technology
- Management & Leadership
- Consulting
- Software
- Data & Analytics
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