About QuadReal Property Group QuadReal Property Group is a global real estate investment, development and operating company headquartered in Vancouver, British Columbia. Its assets under management are $98.5 billion. From its foundation in Canada as a full-service real estate operating company, QuadReal has expanded its capabilities globally for investments in equity and debt in both the public and private markets. QuadReal seeks to deliver robust investment returns while creating sustainable environments that bring value to the people and communities it serves. The AI & Digital Innovation team builds and runs AI products used across QuadReal, from document intelligence and underwriting support to agentic workflows connected to our core platforms. The team is small and senior, spanning AI architecture, engineering, business analysis, program management and business engagement, and it moves at the pace of a technology that keeps changing underneath it. What it needs is a manager who owns delivery of the portfolio end to end, makes the prioritization calls, and raises the technical bar without becoming the bottleneck. AI architecture sets the technical direction, business engagement brings the demand, and delivery has to tie the two together into working software that people actually use. This individual is the glue: the single point of accountability for what ships, when, at what quality, and whether the business got the value it was promised. This individual will be in the work: reviewing designs and requirements, sitting in stakeholder sessions, building the value case, and deciding what gives when two initiatives need the same person in the same week. Using AI day to day is central to the job, not a side interest. Intimate,



hands‑on knowledge of how these tools behave is what makes the judgment calls sound and what earns credibility with our stakeholders. They are deliberately hands‑off with senior specialists and hands‑on with team members who are still growing. Some are valuable, some only sound urgent, some are both. Own delivery of the active AI portfolio: scope, sequencing, quality, and the commitments made to the business Manage and develop the delivery team (program and project management, business analysis, engineering) while working alongside senior specialists in AI architecture and business engagement Help business sponsors quantify the value of their initiative before build, and validate it after launch Act as a credible technical counterweight in design, requirements and vendor discussions Own delivery outcomes across the portfolio, not just delivery activity: what shipped, whether it works, and whether the business is using it Manage, coach and develop the delivery team; Set the priorities and outcomes the Project Manager runs the delivery cadence against, and clear the obstacles they elevate Work hands‑off with senior specialists: pressure‑test the thinking, make the call, then get out of the way Hold a consistent quality bar across requirements, design reviews, accuracy and evaluation testing, and release readiness Screen incoming AI requests against the team intake framework: data readiness, technical feasibility, business readiness, minimum viable accuracy,



output verifiability, and build versus buy Partner with business sponsors to quantify value in their own terms (time saved, cost avoided, revenue enabled), then hold the baseline after launch Build a roadmap where initiatives reinforce each other: shared components, common data foundations, and sequencing that compounds rather than competes Design with cost in mind: model AI consumption cost into solution design and flag early when an approach will not scale economically Technical Judgment & Solution Quality (25%) Provide consistent technical direction across initiatives: Own delivery discipline across the development lifecycle: environments, source control, code review, CI/CD, release management, and handoff to run and support AI governance tiers, security and data access requirements, architecture standards, and vendor assessment Stakeholder & Vendor Management (20%) Translate technical constraints into business language, and business asks into buildable scope Report progress, risk and realized value to leadership forums, including the AI Oversight Committee Manage vendor and partner delivery: hold scope, quality and change control, and elevate commercial issues with evidence 5+ years delivering technology solutions, including 2+ years managing people or leading a delivery team ~ Real AI depth, not passing interest: you have shipped LLM or ML‑based solutions and can hold your own on model selection, prompt and agent design, evaluation and accuracy trade‑offs, and where AI is the wrong tool ~ You use AI tools daily and can show us what you have built with them ~ A track record of prioritizing under constraint: you have told a senior stakeholder no, explained why, and kept the relation

📌 Manager, AI Delivery (Canada)
🏢 QuadReal Property Group
📍 Canada