Project Manager - AI Products

QuadReal Property Group•Toronto, ON

1d•CA$95,000 - CA$110,000•Hybrid

About The Position

The AI & Digital Innovation team runs many concurrent AI initiatives and vendor engagements, and it pivots priorities often. What it needs is someone who drives the work to done: managing obligations and sub-tasks to completion, running the delivery cadence, keeping the team focused, and tracking things down internally so nothing stalls. This is a hands-on delivery person, not an analyst. This individual will keep initiatives on rails for the VP/Director, the Program Manager, and solution owners, and they are the recurring channel that moves project outputs and data to stakeholders. They surface capacity constraints and risks up to the Program Manager early, before they become problems.

Requirements

3-6 years managing the delivery of projects or programs (project management, delivery lead, scrum master, or similar)
Demonstrated agile/scrum experience in an environment where priorities shift frequently
Strong stakeholder communication: can write clear status updates and move information between delivery teams and stakeholders without it getting lost
A driver who closes loops: chases blockers, tracks things down, and keeps work moving to completion
Comfortable with project management tools (ClickUp, Jira, Asana, or similar)
Technically curious: you use AI tools daily (Claude, ChatGPT, Copilot) and can keep up in a technical delivery context

Nice To Haves

Scrum/PMP/PMI-ACP or equivalent delivery certification
Comfortable with numbers: can maintain budget trackers, cost models, and ROI/adoption data (Excel/Sheets)
Experience building lightweight status or usage dashboards (Excel, Power BI, Looker)
Experience with Microsoft Power Platform (Power Automate, Power Apps, Power BI) or basic scripting (including with AI assistance)
Familiarity with Azure, Microsoft 365, or enterprise IT environments
Real estate, financial services, or asset management industry background
Experience coordinating delivery for AI/ML, data, or software teams

Responsibilities

Own the day-to-day delivery: break initiatives into sub-tasks, assign owners, chase blockers, keep things moving
Run an agile/sprint cadence that fits a team that pivots priorities frequently
Be the recurring stakeholder communication channel: pass project outputs and data to the Enablement Lead and stakeholders, send weekly status
Surface capacity constraints, dependencies, and risks to the Program Manager early
Delivery & Project Management (40%): Break active initiatives into sub-tasks with clear owners and next milestones; drive them to completion
Run the team's delivery cadence (sprint planning, stand-ups, retros) suited to frequent priority changes
Keep the team focused: track blockers and dependencies, chase them down internally, escalate what is stuck
Maintain ClickUp as the single source of truth for what is in flight, who owns it, and what is next
Keep deliverables tracked against quarterly roadmap targets; the Program Manager sets priorities
Stakeholder Communication & Reporting (25%): Be the recurring channel that moves project outputs and data from delivery work to the Enablement Lead and business stakeholders
Send clear weekly status: what shipped, what is blocked, what is next, what changed
Surface capacity constraints, trade-offs, and delivery risk to the Program Manager early
Prepare delivery materials for leadership updates and planning cycles with the Director
Program Operations & Coordination (20%): Support the intake, triage, and tracking of AI requests and initiatives; the Program Manager sets priorities
Coordinate logistics with vendors, contractors, and internal stakeholders to hold delivery timelines
Keep team documentation current: decision logs, meeting notes, process maps, runbooks
Track down information, approvals, and dependencies across the wider organization
Measurement & Process Support (15%): Maintain the core trackers and dashboards the Program Manager, Director, and solution owners rely on (status, budget-vs-actual, adoption/ROI data feeds); pull numbers on request
Document recurring team workflows (intake, triage, rituals) and standardize templates
Identify repetitive manual work and build lightweight automations (Power Automate, Python, AI-assisted) once processes are stable