Manager, AI Delivery

Responsibilities

• Delivery Ownership & Team Leadership (30%)
• 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 clear expectations and give direct feedback early rather than at review time
• Set the priorities and outcomes the Project Manager runs the delivery cadence against, and clear the obstacles they escalate
• Own the portfolio roadmap, capacity plan and budget-versus-actual through the Program Manager, and make the capacity and sequencing calls yourself
• Distribute ownership so no initiative is single-threaded through one person, including this role
• 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
• Stay in the work: prototypes, prompt and agent design, code and design reviews, stakeholder sessions, documentation
• Prioritization & Value Definition (25%)
• Screen incoming AI requests against the team intake framework: data readiness, technical feasibility, business readiness, minimum viable accuracy, output verifiability, and build versus buy
• Make and communicate sequencing decisions when initiatives compete for the same capacity, and revisit them as conditions change
• Partner with business sponsors to quantify value in their own terms (time saved, cost avoided, revenue enabled), then hold the baseline after launch
• Defer or stop work that will not pay off, and explain the reasoning in a way the sponsor can accept and repeat
• 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: LLM application patterns, agentic workflows, retrieval and context design, API and MCP integration, evaluation, and human-in-the-loop design
• Interrogate requirements rather than transcribe them: decompose compound asks, surface conflicting requirements, and force priority calls before build starts
• Own delivery discipline across the development lifecycle: environments, source control, code review, CI/CD, release management, and handoff to run and support
• Make sure solutions are instrumented so adoption and benefit can be measured rather than estimated
• Operate inside enterprise guardrails: AI governance tiers, security and data access requirements, architecture standards, and vendor assessment
• Stakeholder & Vendor Management (20%)
• Act as the credible face of delivery to the business, from analyst to executive, and the person stakeholders come to early rather than late
• Translate technical constraints into business language, and business asks into buildable scope
• Handle hard conversations well: timeline slips, scope cuts and feasibility limits delivered without damaging the relationship
• 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 escalate commercial issues with evidence
• Experience and Qualifications
• Must-Have
• 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 relationship intact
• Demonstrated ability to help a business partner quantify value, including honesty about where the numbers were soft
• Experience owning capacity planning across competing initiatives, including the judgment to move people mid-flight and the willingness to make that call
• High emotional intelligence and excellent communication: you read a room accurately, adjust to your audience, and can be direct without being abrasive
• Experience managing within or as part of a software development project: environments, code review, CI/CD and release management
• Comfortable being hands-off with senior experts and hands-on mentoring junior team members, and clear on when each is called for
• Sound judgment in ambiguity: you weigh what the business says it needs against what is actually going to move, and sequence accordingly
• Nice-to-Haves
• Commercial real estate, asset management or financial services background
• Hands-on coding ability (Python, TypeScript) sufficient to review work and build a working prototype
• Azure, Microsoft 365, Fabric or Power Platform environments
• Enterprise integration experience: APIs, MCP, and core platforms such as Yardi or comparable ERP
• Agile delivery experience in a fast-moving environment where scope and sequencing evolve as the technology does
• Vendor and SOW management, including change order and scope discipline
• Experience standing up measurement or instrumentation for adoption and benefit tracking
• This job posting is for an existing vacancy within our organization.
• The expected annualized base salary range for this role is $140,000-$160,000.
• Based on the position, QuadReal offers a competitive total rewards package in addition to the base pay, which may include a performance-based incentive plan, comprehensive health & dental benefits, pension plan, and paid time off.
• The actual salary offered will take into consideration a wide array of factors including, but not limited to, the individual’s skill, experience, education and training, the market compensation of the role, and the consideration to internal equity.
• We value diverse experiences and perspectives. Even if your skills don’t align 100% with the listed qualifications or salary range, we encourage you to apply – you may be a great fit for this role or others in our community. Applicants may also be considered for alternative positions within the organization where their qualifications and experience align more closely with available opportunities.
• We use artificial intelligence (AI) technology — alongside human review — to assist in screening and assessing applicants for this position. Our recruitment team remains involved in all decisions.
• Candidates must be legally authorized to work in Canada as the company does not provide work permit sponsorship for this role.
• Note to Recruiters: QuadReal does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to QuadReal, directly or indirectly, will be considered QuadReal property. QuadReal will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for engaged services to submit resumes.
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