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AI Project Manager

Job Description - AI Project Manager

  • Global Retail Exposure - Work on AI/GenAI initiatives with international business impact.
  • High-Visibility AI Team - Work closely with AI leadership, product, engineering and business stakeholders.
  • Growing AI Function - Opportunity to join while the team is expanding and help shape how AI products are delivered.
About the Role We are looking for an AI Project Manager to join a growing AI team within a leading global retail organization.
You will manage the end-to-end delivery of AI, GenAI, and digital product initiatives, working closely with business stakeholders, product teams, developers, Data Scientists, and QA teams.
This role goes beyond traditional project tracking. We are looking for someone who understands what the product is trying to achieve, who the users are, and how the solution creates business value, while ensuring projects are delivered successfully from initial planning through production launch.

Key Responsibilities
  • Lead AI and technology projects from initiation through delivery and launch
  • Manage project scope, timelines, resources, risks, dependencies, and stakeholders
  • Establish project governance and maintain delivery plans, RAID logs, status reports, and change controls
  • Work closely with developers and technical teams to understand dependencies and delivery constraints
  • Coordinate testing, UAT, defect resolution, and production readiness
  • Work with Product and Business teams to ensure solutions deliver the intended business value
  • Identify delivery issues early and proactively drive solutions
  • Explore practical ways to use AI and automation to improve project delivery and team productivity


What We're Looking For
  • Strong Technology Project Management / Delivery Management experience
  • Proven experience independently leading projects end-to-end
  • Good understanding of the product lifecycle and software development lifecycle
  • Practical knowledge of project governance and PM methodologies
  • Strong understanding of testing, UAT, and release management
  • Excellent communication and stakeholder-management skills
  • Commercial mindset with an understanding of customer and business value
  • Proactive, resourceful, and able to work independently
  • Genuine interest in AI, with examples of using AI tools or automation to solve real problems or improve workflows


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