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Added 8 mins ago
Marketing Specialist, Quebec and French Canada
Canadian Cancer Society
Montreal, QC · Quebec, QC
$52,000 to $62,000 CAD / year
Full-time
Support the Senior Marketing Manager with the development and execution of integrated French language advertising campaigns across Fundraising, mission and brand priorities
Added 38 mins ago
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Support the Senior Marketing Manager with the development and execution of integrated French language advertising campaigns across Fundraising, mission and brand priorities
Added 3 hours ago
Marketing Specialist, Quebec and French Canada
Canadian Cancer Society
Montreal, QC
$52,000 to $62,000 CAD / year
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Support the Senior Marketing Manager with the development and execution of integrated French language advertising campaigns across Fundraising, mission and brand priorities
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QuadReal Property Group

Manager, AI Delivery

Calgary, AB, Canada

Pay: The expected annualized base salary range for this role is $140,000-$160,000.
Job type: Full-time
Apply by: Oct 31, 2026
Posting language: English
Posted: Oct 1, 2026

Apply About employer

Applications open in a new tab.

Original job description

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 invests directly through operating platforms in which it holds an ownership interest and via programmatic partnerships.

QuadReal seeks to deliver strong investment returns while creating sustainable environments that bring value to the people and communities it serves. Now and for generations to come.

QuadReal: Excellence lives here.

www.quadreal.com

Role Description

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.

This is the connective role on the team. 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 is a functional manager, not a pure people leader. 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.

The hardest part of this role is judgment. Business stakeholders bring more ideas than the team can build, and they do not arrive labelled. Some are valuable, some only sound urgent, some are both. This individual separates them, quantifies what is real, sequences the rest, and says no clearly enough that the relationship still works afterward.

This Person Will

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
Make prioritization and trade-off calls across competing initiatives, and defend them to sponsors and leadership
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

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.

QuadReal Property Group will provide reasonable accommodation at any time throughout the hiring process for applicants with disabilities or for those needing job postings in an alternate format. If you require accommodation, please advise the Talent Acquisition team member you are working with and include the following: Job posting #, your name and your preferred method of contact.

Apply About employer

More about this job

Responsibilities

Own end-to-end delivery of the AI portfolio, including prioritization, sequencing, quality, capacity, budget oversight, and business value measurement. Lead and develop the delivery team while providing technical judgment, managing stakeholders and vendors, and ensuring solutions meet enterprise standards and are adopted.

Requirements

Requires at least five years delivering technology solutions, including two years managing people or leading a delivery team, plus hands-on experience shipping LLM or ML solutions and using AI tools daily. Candidates should demonstrate strong prioritization, value assessment, capacity planning, software delivery lifecycle knowledge, communication, and judgment in ambiguous situations.

Skills

AI Delivery Management
LLM and Machine Learning Solutions
AI Prioritization
Portfolio and Roadmap Management
Capacity Planning
Value Quantification
Prompt and Agent Design
AI Evaluation and Accuracy Testing
Retrieval and Context Design
API and MCP Integration
CI/CD and Release Management
Stakeholder Management
Vendor Management
Team Leadership and Coaching
AI Governance

Benefits

Performance-Based Incentive Plan
Health and Dental Benefits
Pension Plan
Paid Time Off

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Large Language Models
Machine Learning
Agentic Workflows
Prompt Design
Model Selection
AI Evaluation
Retrieval-Augmented Generation
Context Design
APIs
Model Context Protocol
Python
TypeScript
Azure
Microsoft 365
Microsoft Fabric
Power Platform
Yardi
Enterprise Resource Planning
CI/CD
Source Control
Code Review
Release Management
AI Governance
Data Readiness
Human-in-the-Loop Design
Agile Delivery
Capacity Planning
Vendor Management
Commercial Real Estate

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