N

nesto

AI-powered mortgage lender with unbiased advice

Director of AI Delivery

Program ManagementUpdated on Nov 14
Full-time

About the Job

Requirements

  • Experience in client-facing delivery as an engagement manager, delivery director, or implementation director.
  • Experience leading senior delivery teams at client sites and facilitating working sessions with executive vice-president-level leaders.
  • Experience personally leading client AI solution implementations from requirements through production.
  • Sufficient knowledge of AI and machine-learning project delivery to chair evaluation reviews, challenge precision-versus-recall trade-offs, and translate model evidence into language a risk committee can act on.
  • Ability to define written exit criteria, produce supporting deliverables, and document decisions.

Responsibilities

  • Lead Maestro delivery by defining a clear approach amid uncertainty and building trust with client executives.
  • Own the plan and milestone outputs for the underwriting agents, and make stage-exit decisions based on written validation evidence across nine stages: scoping, process mapping, golden sets, configuration, evaluation, model governance, shadow mode, change management, and gradual production decisioning.
  • Lead the senior delivery team day to day, guide AI delivery managers in gathering requirements for each agent, collaborate with the assigned project manager and delivery and technology colleagues, facilitate daily meetings and working sessions, and build and defend the steering narrative, with the client sponsor making the final decision on that narrative.
  • Chair the weekly review of agent performance evidence and translate it into development and optimization priorities for engineering; review evidence produced by data scientists rather than producing it personally.
  • Lead the relationship with the client’s model risk team, obtain validation of evidence packages for each condition family, and secure risk and governance approvals for shadow mode and production.
  • Manage the shadow-mode program, arbitrate discrepancies, revalidate when drift occurs, and present unrealized value to client executives monthly.
  • Co-lead readiness approval with the client and ensure the pilot group is trained and using the new workflow.
  • Write and maintain the reusable deployment playbook that takes AI agents from client requirements through testing and client approval into production, documenting each agent’s deployment as it progresses.
  • Protect scope by routing client requests through the configuration log and statement-of-work change process.

Desired Qualifications

  • Experience implementing AI for banks or other regulated organizations, including model risk validation.
  • Experience implementing the employer’s own product at a client.
  • Knowledge of mortgages or consumer credit, or experience with gradual production rollouts of decisioning systems.
  • Comfort building a deployment playbook while executing it in a fast-growing scale-up.

About the Company

nesto

AI-powered mortgage lender with unbiased advice

Nesto is a Canadian online mortgage lender that uses technology to simplify the mortgage process. It offers mortgage options through an AI-powered algorithm that estimates the best rate in seconds, then lets customers customize based on personal goals. The application process is straightforward, with easy document uploads for review. Nesto differentiates itself by providing unbiased, commission-free expert advice from a team of over 300 advisors across Canada, helping clients from start to finish and during the life of their loan. Revenue comes from the interest on mortgages, and the company has helped over 400,000 Canadians. Its goal is to make the mortgage experience transparent and customer-friendly by combining advanced technology with accessible expert guidance.

Company size
501-1,000
Company stage
Series E
Total funding
$222.6M
Headquarters
Montreal, Canada
Founded
2018

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