Manager, AI Delivery

Role overview

Delivery and team leadership

• Own portfolio outcomes, roadmap, capacity planning, sequencing, and delivery quality.
• Manage and develop the delivery team; establish priorities, coach team members, and remove delivery obstacles.
• Maintain quality across requirements, design reviews, evaluation, release readiness, and handoff to support.

Prioritization and technical judgment

• Assess incoming requests for data and business readiness, feasibility, accuracy, verifiability, and build-versus-buy considerations.
• Define and validate business value, communicate trade-offs, and stop or defer low-value work.
• Guide LLM applications, agentic workflows, retrieval and context design, integrations, evaluation, and human-in-the-loop approaches.
• Maintain development lifecycle discipline and ensure solutions meet enterprise governance, security, access, and architecture requirements.

Stakeholders and vendors

• Translate business needs into buildable scope and explain technical constraints to stakeholders at all levels.
• Report progress, risk, and realized value to leadership forums, including the AI Oversight Committee.
• Manage vendor delivery, scope, quality, change control, and commercial escalations.

Required experience

• At least 5 years delivering technology solutions, including 2 or more years managing people or leading a delivery team.
• Has shipped LLM- or ML-based solutions and can discuss model selection, prompt and agent design, evaluation, accuracy trade-offs, and appropriate use of AI.
• Uses AI tools daily and can demonstrate work built with them.
• Has experience prioritizing constrained work, quantifying business value, and planning capacity across competing initiatives.
• Has software development project experience with environments, code review, CI/CD, and release management.
• Demonstrates strong communication, emotional intelligence, sound judgment, and ability to mentor team members.

Preferred qualifications

• Commercial real estate, asset management, or financial services background is a plus.
• Python or TypeScript coding, Azure, Microsoft 365, Fabric, Power Platform, enterprise integrations, APIs, MCP, or Yardi experience is a plus.
• Agile delivery, vendor and SOW management, and adoption or benefit measurement experience are a plus.

Compensation

• Expected annualized base salary is CAD 140,000–CAD 160,000.
• Additional total rewards may include a performance-based incentive plan, health and dental benefits, pension, and paid time off.

Additional information