Senior AI Delivery Lead for Global Projects

Hitachi Energy

Birmingham

On-site

GBP 90,000 - 130,000

Full time

7 days ago
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Job summary

Hitachi Energy in the United Kingdom is seeking an experienced Senior Delivery Lead to manage the delivery of AI projects within the global Strategic AI Delivery department. The role requires a strong background in IT/AI project delivery and excellent organizational and communication skills.

You will lead planning, execution, and delivery of AI use cases across capability areas (e.g. Engineering, Finance, Marketing & Sales, Physical AI), collaborate with sponsors and IT/Data teams, develop

Qualifications

  • 8+ years experience as a Project/Delivery Manager.
  • Experience delivering AI projects in large corporations.
  • Strong communication and stakeholder management.
  • Ability to work in a fast-paced, dynamic environment.

Responsibilities

  • Lead the planning, execution, and delivery of AI use cases and projects.
  • Collaborate with sponsors, DAAI Heads, IT, and Data, Analytics & AI Teams to ensure scope execution.
  • Develop detailed project plans with timelines, milestones, and resource allocation using Waterfall, Agile and hybrid methods.
  • Drive creation of concise Statements of Work and manage external vendors/partners.
  • Monitor progress across the AI use case portfolio, identify risks, implement mitigation.
  • Communicate project status, updates, and issues to stakeholders and senior management.
  • Provide leadership and guidance to multinational project teams.

Skills

Project management
AI project delivery
Communication skills
Organizational skills
Agile Scrum

Education

Bachelor’s/Master’s degree

Job description

Hitachi Energy in the United Kingdom is seeking an experienced Senior Delivery Lead to manage the delivery of AI projects within the global Strategic AI Delivery department. The role requires a strong background in IT/AI project delivery and excellent organizational and communication skills.

You will lead planning, execution, and delivery of AI use cases across capability areas (e.g. Engineering, Finance, Marketing & Sales, Physical AI), collaborate with sponsors and IT/Data teams, develop

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