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Added 6 mins ago
HT
Manager, Internal Controls
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Bolton, ON
- Full-time
Excellent project management, problem solving and analytical skills
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FB
Business Analyst
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- Full-time
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Added 35 mins ago
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nesto

Director of AI Delivery

Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 25, 2026
Posting language: English
Posted: Oct 26, 2026

Original job description

The bright side of mortgages

nesto is Canada's leading digital residential mortgage lender, offering Canadians the lowest rates from the get-go – with total transparency and no haggling.

About Us

As Canada's pioneer in online mortgage lending, nesto is transforming the way Canadians finance their homes. Our mission is to offer a positive, empowering, and transparent property financing experience, simplified from start to finish.

Borrowers benefit from rates that are often lower than those offered by the big banks, along with an exceptional end-to-end mortgage experience powered by best-in-class AI technology. Fast, simple, and fully digital, nesto has been recognized as CLA Lender of the Year for three consecutive years. That's the bright side of mortgages.

Nesto Group

Nesto Group is Canada's leading provider of mortgage technology and financing solutions, with more than CAD $80 billion in residential and commercial mortgages under administration. Trusted by many of the country's leading financial institutions, we combine over 50 years of mortgage expertise with proprietary cloud and AI technology to transform the future of lending.

Powered by our proprietary cloud and AI technology, nesto has become one of Canada's fastest-growing mortgage lenders, gaining market share across direct-to-consumer (D2C) residential lending, the broker channel, and multi-family commercial lending. Recognized as one of Deloitte's Fast 50 companies for three consecutive years, we continue to push the industry forward through innovation, technology, and customer-focused solutions.

Operating through our family of brands – CMLS, nesto, and Nesto Cloud – our mission is to build Canada's mortgage ecosystem of the future and create a true Canadian champion in lending technology and financial services. Learn more at: https://nestogroup.ca/

Work Location

Hybrid, based in our Toronto or Montreal office. In-office expectations vary with business needs. If you are based in Montreal, expect to travel to Toronto a couple of times per month.

Why We Are Hiring

Maestro, our AI-powered underwriting platform, already runs inside nesto, with AI agents making real-time, policy-based decisions. We are now bringing it to financial institution clients through Nesto Cloud. You will be the first leader of client AI delivery. Your mission is to run the program that puts a fleet of AI agents live in Canadian banks’ production environments. As our Director of AI Delivery, you'll own it end to end: the delivery plan, the pod, the day-to-day client relationship, and the evidence that moves each agent through requirements, testing, model-risk approval, live-file shadow, joint change management, and progressive production activation. You will also write the repeatable deployment playbook we reuse for every client that follows.

What You'll Be Doing

Lead Maestro delivery. Set a clear delivery approach amid uncertainty and build trust with client executives.
Own the plan and stage exits. Own the plan across underwriting agents. Call each stage exit against its written proof point across our 9 stages: scoping, process mapping, golden sets, configuration, evaluation, model governance, shadow, change management, and progressive production decisioning.
Lead the pod. Lead a senior delivery pod (delivery managers, underwriting expert, data scientists, program PM) day to day. Guide the AI Delivery Managers as they gather requirements for each agent. Work with the assigned PM and the relevant delivery and technical colleagues to keep implementations moving. Run standups and working sessions, and build and defend the steering narrative. The client Sponsor makes the final call on the story.
Chair eval review. Run the weekly review of agent performance evidence and turn it into build and tuning priorities for Engineering. Data Scientists produce the evidence. You review it and do not produce it yourself.
Lead the model-risk relationship. Lead the relationship with the client’s model-risk team. Land validation packages for each condition family and secure the risk and governance sign-offs that authorize shadow and production.
Run the shadow program. Adjudicate divergences, re-validate for drift, and report value foregone to client executives each month.
Own change management and readiness. Co-own the joint readiness sign-off with the client and make sure the pilot group is trained and running the new workflow.
Build the deployment playbook. Write the repeatable process that takes AI agents from client requirements through testing and client approval into production. Document each agent’s deployment as you go. The playbook is a core deliverable, not a retrospective.
Protect scope. Hold client “small asks” to the config log and SOW change process. Nothing gets absorbed silently.

What You Bring

You have a client-facing delivery background, as an engagement manager, Delivery Director, or Implementation Director.
You have run senior delivery teams on client sites and led working sessions with EVP-level executives.
You have led client AI implementations hands-on, from requirements through production.
You know ML/AI delivery well enough to chair an eval review, question precision and recall trade-offs, and translate model evidence into language a risk committee can act on.
You define written exit criteria, produce the artifacts that back them, and document decisions.

Nice-to-Have

Experience implementing AI for banks or other regulated organizations, including model-risk validation.
Experience implementing your own company’s product at the client.
Mortgage or retail-credit domain knowledge, or experience with staged production rollouts of decisioning systems.
Comfort building the playbook while running it in a scale-up.

This Role Might Be for You If

You have delivered AI solutions for enterprise clients on high-visibility projects and know how to earn their stakeholders’ trust.
You get energized when there is no playbook to follow and can turn uncertainty into a clear, structured approach.
You do well under high expectations on a project that matters deeply to the client.
You work well with a growing team of delivery, product, and technical colleagues.

Interview Process

Recruiter Screen (30 min): A quick intro call to learn about your background and give you a real picture of the role.
Discovery Call (30 min): A conversation with the hiring manager to dig into your experience and assess mutual fit.
Case Study: A chance to showcase your skills through an open-ended, scenario-based exercise relevant to the role.
Case Study Interview (60 min): A deep dive into your submission, with time to get to know some team members and ask about the role and company.
Final Non-Technical Interview (60 min): You'll meet with the recruiter and two additional stakeholders for a final conversation before a decision is made.
Offer Stage: Pending successful background and role-specific vetting checks, you'll receive a formal offer to join the team.

Why You'll Love Working Here

We believe great people do their best work when they're supported professionally, personally, and financially. That's why we offer a comprehensive rewards package designed to help you thrive at every stage of your career.

Competitive Rewards – Competitive compensation, performance incentives (where applicable), and recognition for your contributions.
Health & Wellness – Comprehensive medical, dental, and vision coverage, Health & Wellness Spending Accounts (where applicable), telemedicine, Employee Assistance Programs, and mental health support for you and your family.
Time to Recharge – Generous vacation (4 weeks), floater days, and statutory holidays to help you recharge.
Planning for the Future – RRSP matching to support your long-term financial wellbeing.
Family Support – Enhanced maternity and parental leave top-up programs.
Learning & Growth – Education assistance, mentorship, training, and opportunities to build your career across Nesto Group.
Tools for Success – Modern technology, collaborative teams, and the resources you need to do your best work.

Life at nesto

At nesto, we're passionate about challenging the status quo and building a better mortgage experience and saving money on their mortgages for Canadians. We foster a culture of collaboration, transparency, and creativity where every team member is empowered to take ownership, make an impact, and grow. If you're looking to solve meaningful problems alongside ambitious, supportive teammates, you'll feel right at home here.

Diversity, Equity & Inclusion

At Nesto Group, we believe diverse perspectives make us stronger. We are committed to fostering an inclusive workplace where everyone feels respected, supported, and empowered to succeed.

We welcome applications from people of all backgrounds, including Indigenous Peoples (First Nations, Inuit, and Métis), persons with disabilities, members of racialized communities, women, and members of the 2SLGBTQIA+ community.

If you require accommodation during any stage of the recruitment process, we are committed to working with you to meet your needs.

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More about this job

Responsibilities

Lead end-to-end delivery of Maestro AI underwriting agents for financial institution clients, managing the delivery plan, senior delivery pod, client relationships, evaluation reviews, model-risk approvals, shadow programs, and progressive production activation. Develop and document a repeatable deployment playbook while managing scope, client readiness, and executive reporting.

Requirements

Requires a client-facing delivery leader with experience leading senior teams, executive working sessions, and hands-on enterprise AI implementations from requirements through production. Candidates should understand AI and machine-learning evaluation, be able to interpret model evidence for risk stakeholders, and establish written exit criteria and supporting documentation.

Skills

Client-Facing Delivery
AI Implementation
Program Management
Executive Stakeholder Management
Requirements Gathering
Delivery Planning
Team Leadership
Machine Learning Evaluation
Precision And Recall Analysis
Model Risk Management
Model Governance
Change Management
Production Readiness
Performance Evaluation
Scope Management

Benefits

Competitive Compensation
Performance Incentives
Medical Insurance
Dental Insurance
Vision Coverage
Health And Wellness Spending Accounts
Telemedicine
Employee Assistance Program
Mental Health Support
Four Weeks Of Vacation
Floater Days
Statutory Holidays
RRSP Matching
Maternity And Parental Leave Top-Up
Education Assistance
Mentorship
Training

Visa sponsorship

Not detected in the job text

Keywords

Maestro
AI Agents
Artificial Intelligence
Machine Learning
Mortgage Technology
Financial Services
Underwriting
Nesto Cloud
Client Delivery
Program Management
Requirements Gathering
Process Mapping
Golden Sets
Configuration
Model Evaluation
Model Governance
Model-Risk Validation
Shadow Testing
Change Management
Progressive Production Decisioning
Precision And Recall
Drift Validation
Risk Committee
Deployment Playbook
Statement Of Work
Regulated Organizations
Retail Credit
Decisioning Systems
Executive Stakeholder Management

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