AI Delivery Manager

AI Delivery Manager

Job Type - Contract – 6 months with high likelihood of extension

Location – 1 – 3 times per MONTH Hybrid (Toronto, ON)

Pay Rate - $50 - $70/hr

Your New Company

Our client is a leading organization in the retail sector, delivering innovative technology solutions that support critical business operations and customer-facing services. They are seeking an experienced AI Delivery Manager to support multiple agile teams working on high-visibility initiatives.

Your New Role

The AI Delivery Manager is a senior, independent delivery leader accountable for driving day-to-day execution across assigned AI Pods and initiatives within the AIDA AI Operating Model. The role translates business priorities into executable plans and coordinates Product, Business, AI Engineering, Data Science, Architecture, Data Platform, Security, Operations, and IT partners.

This is not a Scrum Master, project coordinator, meeting facilitator, or reporting-only role. The Delivery Manager owns the delivery management process and execution coordination; business and technical owners retain accountability for their decisions, approvals, solutions, and outcomes.

Key responsibilities include:

1. Delivery Leadership

• Convert priorities into plans with milestones, deliverables, dependencies, decision points, forecasts, and accountable owners.

• Proactively drive execution, resolve gaps, and maintain realistic commitments.

• Coordinate UAT, go/no-go decisions, release readiness, deployment, and operational handoffs.

2. Governance, RACI, and Intake

• Partner with AI leadership to design, document, implement, and improve a practical, reliable intake process and AI Operating Model.

• Own and maintain the delivery RACI, decision rights, handoffs, governance documentation, and escalation paths.

3. Communication and Follow-Through

• Translate approved Operating Model, RACI, and intake decisions into clear guidance, actions, owners, and timelines.

• Communicate decisions consistently and drive implementation follow-up across Business Partner, Product, AI, and IT teams.

4. Stakeholder Leadership

• Independently engage stakeholders and organize working sessions.

• Identify missing sponsors or decision-makers.

• Challenge unclear scope, unrealistic timelines, and unassigned dependencies.

• Escalate issues with context, impact, options, and recommendations.

5. AI Delivery Complexity

• Manage uncertainty from discovery and experimentation through pilots and production.

• Distinguish prototype completion from business readiness.

• Coordinate data, integration, evaluation, reliability, monitoring, platform capacity, cost, and operational dependencies.

• Re-plan when findings change.

The role is not accountable for model accuracy, architecture design, or technical implementation.

Core Delivery Outputs

• Integrated portfolio roadmap and forecasts.

• Initiative delivery plans.

• Current RACI and handoff map.

• Intake and Operating Model guidance.

• RAID, action, and decision trackers.

• Capacity and resource dependency visibility.

• Weekly executive status reports and escalations.

• UAT, release, and transition checklists.

• Adoption and value tracking with business owners.

Artifacts must be lightweight, current, and decision-oriented.

Accountability and Decision Rights

AI Delivery Manager

• Delivery planning, coordination, governance, RACI, dependencies, risks, visibility, readiness, and follow-through.

AI Leadership

What You'll Need to Succeed

Must-Have Qualifications

Required

• 7+ years of delivery, program management, or technology leadership experience.

• Experience delivering complex enterprise technology programs.

• Experience leading cross-functional Agile teams.

• Experience managing concurrent initiatives, roadmaps, risks, and portfolio governance.

• Strong SDLC, stakeholder management, and executive communication capabilities.

Preferred

• AI/ML, Generative AI, Data Science, Analytics, or Data Platform delivery experience.

• Cloud experience (GCP, AWS, or Azure).

• Familiarity with the AI lifecycle, Agentic AI, RAG, LLM applications, or conversational AI.

• Relevant retail or enterprise-domain experience.

What You Need to Do Now:

• If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
• If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.

This posting is for an existing vacancy with the organization.

AI may be used to screen, assess or select applicants for the position