, a consulting firm specializing in information technology, is supporting a major player in the manufacturing sector in the recruitment of 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.
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Key details and work conditions
Job type
: 12-month contract
Hourly :
37.5 hours/week
Work location
: Hybrid - 2 to 3 days per week onsite in Montreal's north shore
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
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Responsibilities
The Delivery Lead will oversee the end-to-end execution of one of two AI projects:
Inventory & Pricing optimization
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 escalate 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
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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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