AI Project Manager

We are seeking an execution-focused hands-on AI Project Manager to coordinate day-to-day operations across our regional AI portfolio support the AI Center of Excellence (CoE) and guide early-stage AI solution lifecycles through execution. Reporting directly to the Head of AI and Analytics this mid-level working role provides hands on operational and project management support across the entire initiative lifecycle from problem framing through industrialization.

The AI Project Manager will lead the initial phases of AI centric solutions including MVP (Minimum Viable Product) definition and deployment strategies for scaling and industrializing Generative AI and Agentic AI applications. Additionally this position concretely supports the Head of AI and Analytics in establishing and running the cross functional AI Working Committee to drive the North American AI strategy partners with external consulting firms through SOW management to discover and evaluate high value use cases and facilitates delivery rhythms with technical data teams to bridge strategic goals and operational reality.

AI Solution Lifecycle MVP Definition & Agile Delivery (40%)
. Initial Phase Leadership & MVP Definition: Lead the initial phases of AI centric solutions including MVP (Minimum Viable Product) definition and deployment strategies for scaling and industrializing Generative AI and Agentic AI applications across business functions.
End to End Delivery Support (Inception to Deployment): Partner with business domain leads data scientists and data engineers to guide initiatives from early problem definition and technical feasibility assessments through proof of concept (PoC) validation establishing clear success metrics and business KPIs.
. Agile Governance & Delivery Rhythms: Facilitate sprint planning daily standups iteration reviews and backlog refinement sessions within Agile/SAFe environments. Apply structured project controls managing scope schedules risks and stage gate milestones in alignment with Airbus LBIP processes.
. Transition to Operations & UAT: Define operational readiness criteria coordinate User Acceptance Testing (UAT) and prepare deployment instructions training materials and handover documentation to ensure seamless industrialization and long-term organizational adoption.
Vendor Engagements SOWs & Consulting Support (30%)
. SOW Structuring & Lifecycle Management: Collaborate directly with internal sponsors procurement and technical leads to draft review and refine Statements of Work (SOWs) establishing crisp deliverables acceptance criteria and contracted milestones for third party consulting partners.
. Consulting Discovery & Use Case Identification: Partner with external consulting firms during discovery workshops to uncover evaluate and prioritize high value operational AI use cases across North American business domains.
. Deliverable Review & Quality Assurance: Conduct structured technical and operational reviews of vendor outputs and deliverables verifying alignment with contract criteria business objectives and enterprise data standards.
. Budget & Milestone Governance: Monitor active consulting engagements against contracted scopes tracking vendor billing milestones burn rates purchase orders and deliverable timelines.

AI Working Committee CoE Enablement & Strategy Support (25%)
. AI Working Committee Setup & Facilitation: Directly support the Head of AI and Analytics in establishing organizing and facilitating the cross functional North American AI Working Committee driving alignment and tracking action items that advance the regional AI strategy.
. AI Center of Excellence (CoE) Operations: Coordinate central AI CoE activities including community forums knowledge sharing webinars AI tool access workflows and best practice enablement across regional sites.
. Portfolio Tracking & Pipeline Transparency: Maintain initiative intake pipelines project dashboards and milestone boards tracking AI initiatives from ideation to production.
. Leadership Briefings & Reporting: Prepare executive briefing decks steering committee alignment summaries and progress scorecards for regular leadership governance.
Other duties as assigned.

. Core Experience: 3 to 5 years of practical project management or project coordination experience within an enterprise IT analytics or software delivery environment.
. AI Lifecycle & MVP Definition: Proven hands-on experience guiding or leading the initial phases of AI/ML or advanced analytics solutions defining MVP boundaries and coordinating technical teams through prototyping testing and rollout.
. Generative & Agentic AI Lifecycle Exposure: Familiarity with the operational requirements lifecycles and deployment strategies for scaling Generative AI models LLMs and emerging Agentic AI workflows into business operations.
. SOW & Consulting Coordination: Demonstrated experience drafting reviewing or managing Statements of Work (SOWs) evaluating third party consulting deliverables and tracking vendor milestone progress.
. Delivery Methodologies: Practical experience managing project workflows using Agile/Scrum or Scaled Agile Framework (SAFe) principles alongside formal corporate stage gate controls.

Preferred:
. Direct experience supporting an AI/Data Center of Excellence (CoE) strategic working group or executive steering committee.
. Industry experience in aerospace manufacturing or complex matrixed organizations.
. Bachelors degree in business administration Information Systems Computer Science Data Analytics Project Management or a related field.
. Advanced degree or professional certification(preferred) PMI ACP CSM or SAFe POPM / Agilist

Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set level experience relevant training and licensure and certifications. To support the ability to reward merit-based performance CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $110800.00 $194000.00.
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CGIs benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the share purchase plan
. Paid time off for vacation holidays and sick time
. Paid parental leave
.Learning opportunities and tuition assistance
. Wellness and Wellbeing programs

• Artificial Intelligence
• Project Management

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