Senior Project Manager (Hybrid)

Morgan Stanley; Montreal; Hybrid; CAD 100,000 - 125,000; Full time

Job summary

A leading financial services firm in Montreal is seeking an experienced Senior Project Manager to lead cross-functional AI initiatives. This role requires in-depth knowledge of AI governance, technology project management, and strong stakeholder management skills. Candidates should have over 8 years of experience in enterprise environments and a background in AI products. The position offers a hybrid work environment and opportunities for professional growth.

Benefits

Comprehensive benefits

Hybrid work environment

Opportunities for growth

Qualifications

• 8+ years of technology project/program management experience.
• Proven delivery across multi-country or regulated industries.
• Direct experience with AI product deployments.

Responsibilities

• Own end-to-end delivery of AI projects.
• Establish and manage integrated plans and executive reporting.
• Lead risk assessments for AI solutions.

Skills

Technology project/program management

Stakeholder management

AI governance and risk frameworks

Automation and scripting practices

Hybrid delivery models

Education

BSc/BA in Computer Science or related field

PMP/Scrum certification

Tools

Jira

Confluence

PowerShell

Job description

Overview

Senior Project Manager (Hybrid) role at Morgan Stanley. We are seeking a seasoned Senior Project Manager 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 Technical Program Management position at Vice President level, which is part of the job family responsible for overseeing and leading the execution of multiple projects and / or programs, working closely with cross-functional teams to ensure alignment with business objectives. Includes program management and related project support roles.

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, hyper care, 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

• 8+ years of technology project / program management in enterprise environments; proven delivery across multi-country or regulated industries (financial services preferred).
• 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.
• BSc / BA in Computer Science, Engineering, or related field (or equivalent experience). PMP and / or Scrum certification is an asset.

Core Skills

• Program leadership : planning, prioritization, dependency management, and executive reporting.
• Risk & issue management with strong problem-solving and decision facilitation.
• Vendor and contract management; ability to drive outcomes with third parties.
• Quality management : test strategy, acceptance criteria, automation coverage, and defect triage.
• Data protection and privacy awareness; ability to work with InfoSec, Legal, and Compliance.
• Change management and adoption : training materials, comms, and stakeholder readiness.

Key Performance Indicators (KPIs)

• On-time, on-budget delivery against agreed scope and quality gates.
• Compliance posture (DLP, access controls, audit logging) and successful governance reviews.
• UAT / production defect density and time-to-resolution; platform reliability and SLA adherence.
• Adoption and satisfaction metrics (active usage, NPS / CSAT), and realized business outcomes.
• Cost efficiency (licensing / utilization optimization) and continuous improvement initiatives implemented.

About Morgan Stanley – Montreal

At Morgan Stanley Montreal, we support the Firm’s global businesses and infrastructure with cutting-edge technology and innovation. The 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. There’s ample opportunity to move across the businesses for those who show passion and grit in their work. All our positions are in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office. Knowledge of French and English is required.

What You Can Expect From Morgan Stanley

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values – putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back – guide the decisions we make every day. We are proud to support our employees and their families with comprehensive benefits. There’s also ample opportunity to move across the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https : / / www.morganstanley.com / about-us / global-offices into your browser.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.

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