Senior Project Manager/Product Owner (Hybrid)

We’re seeking someone to join our team as a Senior Project Manager/Product Owner to lead cross‑functional AI initiatives with a primary focus on enterprise deployments of AI products like ChatGPT and copilot and adjacent generative AI capabilities.

You will drive complex, multi‑region programs from discovery through rollout and adoption, ensuring delivery quality, security, compliance, and measurable business value. This role sits at the intersection of program leadership, AI platform operations, and stakeholder management across technology and business teams.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Cloud & Infrastructure Engineering position at Vice President level, which is part of the job family responsible for managing and optimizing technical infrastructure and ensuring the seamless operation of IT systems to support business needs effectively.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…

What You’ll Do In The Role

• Own end‑to‑end delivery of AI projects from planning and governance through execution, hypercare, and handover to operations.
• Establish and manage integrated plans, RAID logs, decision records, scope baselines, and executive reporting for multi‑workstream programs.
• Coordinate configuration, deployment, and scaling like ChatGPT or copilot in alignment with security, compliance, and regulatory requirements (e.g., DLP, access management/SSO/SCIM, audit logging, responsible AI policies).
• Partner with platform engineering to enable automation, environment readiness, and integrations (e.g., M365, ServiceNow, Slack, Azure OpenAI, Entra ID) and to track operational SLAs/OKRs.
• Lead risk assessments and design reviews for AI solutions; ensure adherence to governance, data privacy and model usage guidelines.
• Plan and orchestrate testing and quality assurance activities (manual and automated), UAT, performance validation, and change management for enterprise‑wide rollouts.
• Facilitate cross‑functional collaboration among security, legal, data protection, architecture, engineering, and business product owners; manage vendor relationships and escalations.
• Define adoption and enablement plans, training, communications, and success metrics; monitor usage, performance, and cost efficiency and drive continuous improvement.
• Drive incident response, problem management, and post‑implementation reviews to ensure platform reliability and user satisfaction.

What You’ll Bring To The Role

• BSc/BA in Computer Science, Engineering, or related field (or equivalent experience). PMP and/or Scrum certification is an asset.
• 8+ years of technology project/program management in enterprise environments; proven delivery across multi‑country or regulated industries (financial services preferred).
• Experience of Connectors and/or Power platform is an asset.
• Direct experience leading deployments of AI products across large global enterprises or similar LLM‑based solutions; 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).
• Hands‑on familiarity with automation and scripting practices (e.g., Python, PowerShell) and CI/CD concepts to coordinate with engineering and QA.
• Expert stakeholder management and communication skills; ability to articulate complex technical topics to non‑technical audiences and senior executives.
• Fluency managing hybrid delivery models (Agile, Scrum, and phase‑gated); proficiency with Jira/Confluence, Project/Planner, and ServiceNow for demand and incident processes.
• Bilingual (English/French) strongly preferred for Montreal‑based stakeholders and partners.

At Morgan Stanley Montreal, we support the Firm’s global businesses and infrastructure with cutting edge technology and innovation. The multi‑faceted and highly technical Montreal team plays a critical role in building and maintaining our leading technology platform, including electronic trading, algorithm trading, cloud engineering, infrastructure, cybersecurity and AI/ML. Morgan Stanley has been rooted in the Montreal community since 2008 and is considered a leading employer among the area’s highly skilled technology talent. There’s ample opportunity to move across the businesses for those who show passion and grit in their work.

All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.

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