AI Project Manager / Product Owner – Enterprise AI, Microsoft Copilot, ChatGPT & Generative AI

Job summary

Lead end-to-end, multi-region enterprise AI initiatives, owning the product backlog and delivery roadmap while coordinating deployment, governance, security, compliance, and operational readiness. Drive adoption through training, communications, usage and cost monitoring, stakeholder engagement, and continuous improvement.

Job details

AI Project Manager / Product Owner – Enterprise AI, Microsoft Copilot, ChatGPT & Generative AI We are seeking a seasoned Project Manager / Product Owner to lead cross-functional AI initiatives, with a primary focus on the enterprise deployment and enablement of the firm’s end user AI products — Microsoft Copilot, OpenAI ChatGPT, Anthropic Claude, Grok and Gemini, together with other AI products as they are introduced (for example Zoom AI Companion). You will drive complex, multi-region programmes from discovery through rollout and adoption, owning the product backlog and delivery roadmap while ensuring delivery quality, security, compliance and measurable business value. This role sits at the intersection of programme leadership, AI product ownership and stakeholder management across technology and business teams. Key Responsibilities Own end-to-end delivery of AI enablement initiatives from planning and governance through execution, hypercare and handover to operations. Act as Product Owner for the AI portfolio: define and prioritise the product backlog, translate business demand into deliverable features, and balance new-feature requests against security, legal and compliance constraints. Establish and manage integrated plans, RAID logs, decision records, scope baselines and executive reporting for multi-workstream programmes. Coordinate the configuration, deployment and scaling of AI products in alignment with security, compliance and regulatory requirements (e.g. DLP/Purview, access management, SSO/SCIM, audit logging, responsible-AI policies). Partner with platform engineering and Level 3 to enable automation, environment readiness and integrations (e.g. M365, Entra ID, ServiceNow, Azure OpenAI) and to track operational SLAs and OKRs. Lead risk assessments and design reviews for AI solutions; ensure adherence to governance, data privacy and model-usage guidelines. Define adoption and enablement plans, training, communications and success metrics; monitor usage, performance and cost efficiency and drive continuous improvement. Keep the business informed and engaged — showcase new features at pace while ensuring they are secure and meet legal and compliance needs. Qualifications & Experience 8+ years of technology project/programme management in enterprise environments; proven delivery across multi-country or regulated industries (financial services preferred). Direct experience leading enterprise deployments of AI or LLM-based products; strong understanding of generative-AI concepts and enterprise integration patterns. Solid grasp of AI governance and risk frameworks; experience implementing security and compliance controls (DLP/Purview, audit logging, access management, encryption). Experience of connectors and/or the Power Platform; hands-on familiarity with automation and scripting concepts (e.g. Python, PowerShell) to coordinate with engineering and QA. BSc/BA in Computer Science, Engineering or related field (or equivalent experience); PMP and/or Scrum certification is an asset. Bilingual (English/French) strongly preferred for Montreal-based stakeholders and partners. Core Skills Programme leadership: planning, prioritisation, dependency management and executive reporting. Product ownership: backlog management, acceptance criteria, release planning and value measurement. Risk and issue management with strong problem-solving and decision facilitation. Stakeholder management and communication; ability to articulate complex technical topics to senior executives. Change management and adoption: training materials, communications and stakeholder readiness. Key Performance Indicators On-time, on-budget delivery against agreed scope and quality gates. Compliance posture (DLP, access controls, audit logging) and successful governance reviews. Adoption and satisfaction metrics (active usage, NPS/CSAT) and realised business outcomes. Speed of new-feature enablement to the business, within security and compliance guardrails. Cost efficiency (licensing/utilisation optimisation) and continuous-improvement initiatives implemented. Working Conditions Based in Montreal; ability to collaborate across global time zones. Operate within the follow-the-sun model across Montreal and Bengaluru, providing single-product ownership (acting as point of contact for one product) while maintaining broad coverage of the full AI portfolio, with structured handover of open items at shift change.

What you’ll do

Lead end-to-end, multi-region enterprise AI initiatives, owning the product backlog and delivery roadmap while coordinating deployment, governance, security, compliance, and operational readiness. Drive adoption through training, communications, usage and cost monitoring, stakeholder engagement, and continuous improvement.

Requirements

Requires 8+ years of enterprise technology project or programme management experience, including direct leadership of enterprise AI or LLM product deployments and familiarity with AI governance, security controls, and enterprise integrations. A BSc/BA in Computer Science, Engineering, or a related field (or equivalent experience) is requested; PMP or Scrum certification and English/French bilingualism are assets.

Listed skills

• Change Management · Preferred
• Executive Reporting · Preferred
• Risk Management · Preferred
• Stakeholder Management · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Programme Leadership
• Product Ownership
• Backlog Management
• Roadmap Planning
• Risk Management
• Stakeholder Management
• Executive Reporting
• AI Governance
• Generative AI
• Enterprise AI Deployment
• Security and Compliance
• Change Management
• Adoption Planning
• Dependency Management
• Automation
• Cost Optimisation

Job areas

• Technology
• Management & Leadership
• Software
• Security & Safety
• Consulting

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