Job Title: Senior Project Manager
Location: Downtown Toronto (3x per week on-site)
Contract Length: 1 year with strong chance of extension or conversion

Our client is seeking a seasoned, hands-on Senior Project Manager to lead the delivery of enterprise-wide data and integration projects, including a flagship AI initiative. This role is ideal for a practitioner who thrives in an evolving, immature project management environment and possesses the unique ability to blend rigorous methodology with empathetic, high-touch stakeholder management. You won't just be managing a timeline; you will be the driving force establishing a culture of project discipline. You will partner closely with business leaders to define business cases, translate visions into concrete requirements, and establish rock-solid project charters before managing those deliverables.

Responsibilities:

1. Project Management Discipline & Framework Establishment

• Introduce, adapt, and champion core project management fundamentals tailored to a small-to-mid-size organization.
• Meet the organization where it is; pragmatically adjust methodologies to fit a developing PM environment without causing organizational friction.
• Coach, mentor, and guide cross-functional stakeholders on project best practices, building overall organizational capability and discipline.

1. Project Discovery & Scoping

• Act as a trusted advisor to business stakeholders, guiding them through the process of defining and building robust business cases.
• Facilitate workshops to extract, analyze, and translate ambiguous business needs into clear, actionable requirements.
• Define, lock down, and define project scope while authoring comprehensive project charters to align executive sponsors and delivery teams.

1. Enterprise Platform & AI Delivery

• End-to-end management of complex, enterprise-wide platform deployments, specifically focusing on complex data architectures, pipelines, and system integrations.
• Successfully plan, execute, and deliver AI/Machine Learning related initiatives, navigating the unique lifecycle challenges (data readiness, model training, iterative deployment) inherent to AI projects.
• Manage technical dependencies, risks, and resource constraints across engineering, and business teams.

Qualifications:

• Minimum of 8+ years of dedicated project management experience, with a proven track record in small-to-mid-size organizational environments.
• Proven success delivering enterprise-scale data platforms, API/system integrations, and at least one successfully deployed AI or Advanced Analytics project.
• Demonstrated experience maturing a low-maturity PM environment.
• Exceptional emotional intelligence (EQ) and patience. You must be comfortable with guiding stakeholders through discovery and change management.
• Mastery in authoring Project Charters, Scope Statements, Risk Registers, and Business Case documentation.
• PMP, PMI-ACP, CSM, or equivalent practical experience demonstrating a deep toolkit of methodologies.