Infrastructure Project Manager

La Fosse
Cambridge, United Kingdom
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 156K

Job location

Cambridge, United Kingdom

Tech stack

Agile Methodologies
Artificial Intelligence
Confluence
JIRA
Big Data
Cloud Computing
Power BI
Large Language Models
Information Technology
Data Management

Job description

We're hiring on behalf of a global technology client for a Senior IT Project Manager to lead the end-to-end delivery of GenAI and AI initiatives, including Copilot-style assistants, automation and AI-enabled workflows.

This is a hands-on delivery role, working across global engineering, operations and enterprise teams to shape, deliver and scale AI solutions.

Responsibilities

  • Lead the end-to-end delivery of multiple AI and GenAI initiatives, from discovery through to production
  • Deliver projects including AI assistants, workflow automation and agentic AI solutions
  • Confidently run multiple initiatives in parallel across Agile or hybrid delivery models, managing dependencies across distributed teams
  • Act as a bridge between technical and non-technical stakeholders, simplifying complex concepts
  • Ensure solutions are scalable, governed and aligned to enterprise standards

Requirements

  • Proven experience delivering GenAI / AI projects end-to-end within large or global organisations
  • Hands-on experience with Copilot or similar GenAI assistant implementations, LLM
  • Background in cloud, data platforms and automation technologies
  • Experience working on large-scale data platforms or transformation programmes, with familiarity with AI governance or responsible AI principles
  • Confident running multiple initiatives at once, working across Agile or hybrid delivery models, and managing dependencies across teams in different locations
  • Knowledge of tools such as Jira, Confluence and Power BI
  • Strong communication skills and comfort operating in fast-moving, ambiguous environments

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