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AI Project Manager - Delivery Lead

NOVIPRO

Mississauga

Hybrid

CAD 90,000 - 120,000

Full time

10 days ago

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Job summary

A leading consulting firm is seeking an AI Project Manager – Delivery Lead for a 12-month contract in Mississauga. The successful candidate will manage large-scale AI initiatives, ensuring alignment between business goals and technical delivery in a hybrid work model. Key responsibilities include managing timelines, stakeholder communications, and project governance. Strong experience in managing complex technical projects and proficiency in Agile methodologies are essential. Bilingual skills in French and English are a plus.

Qualifications

  • 5 to 10+ years of experience in technology project delivery, ideally in AI or digital transformation contexts.
  • Proven experience managing complex technical projects using Agile, Scrum, or Kanban frameworks.
  • Strong understanding of IT concepts: APIs, data flows, system integration architecture.

Responsibilities

  • Oversee the end-to-end execution of AI projects.
  • Manage timelines, deliverables, and milestone planning.
  • Align business expectations with project execution phases.
  • Lead daily pod operations including Scrum tasks.

Skills

Technology project delivery
Agile methodologies
Stakeholder management
Budgeting
Data integration architecture
Scrum
Communication skills

Tools

Jira
Azure DevOps
Databricks
Job description

NOVIPRO, a consulting firm specializing in information technology, is supporting a major player in the manufacturing sector in recruiting an AI Project Manager – Delivery Lead. This role will support two large-scale artificial intelligence initiatives funded through ScaleAI, in partnership with recognized innovation organizations.

Key details and work conditions
  • Job type: 12-month contract
  • Hourly: 37.5 hours/week
  • Work location: Hybrid – 2 days a week in Mississauga
  • Language: Bilingual (French and English) or English-speaking only
  • Start date: Ideally by December 1st
  • Office closure: December 24 to January 2
  • Resume: Must be submitted in English
Responsibilities

The Delivery Lead will oversee the end-to-end execution of one of two AI projects:

  1. Inventory & Pricing optimization
  2. Improved information access for a technical support group

In both cases, the role ensures alignment between business goals and technical delivery, acting as a key liaison across teams.

  • Manage timelines, deliverables, and milestone planning for the AI delivery pod
  • Align business expectations with project execution phases
  • Maintain clear project governance and enforce scope management
  • Translate business needs into technical execution plans and user stories
  • Lead daily pod operations (includes Scrum Master and Product Owner tasks)
  • Identify and elevate risks or blockers to the program management office
  • Define and monitor key performance indicators (KPIs) for delivery success
  • Support project financial tracking (budgeting, cost control, burn rate)
  • Produce project artifacts (status reports, RAID logs, playbooks, templates)
  • Drive communication with internal and external stakeholders
  • Lead change management activities and promote adoption
  • Encourage reuse of tooling, templates, and components to reduce duplication
  • Assist business units in framing operational use cases and qualifying intake
Required skills and qualifications
  • 5 to 10+ years of experience in technology project delivery, ideally in AI or digital transformation contexts
  • Proven experience managing complex technical projects using Agile, Scrum, or Kanban frameworks
  • Proven experience managing projects involving Databricks as a core data or ML platform
  • Strong understanding of IT concepts: APIs, data flows, system integration architecture
  • Project delivery experience using Azure DevOps or Jira
  • Skilled in budgeting, cost analysis, and KPI monitoring
  • Excellent stakeholder management and communication skills
  • Ability to coordinate cross-functional teams and drive change initiatives
  • Strong analytical and organizational capabilities
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