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source · wttj·req · jb_f217fc1dd6·listed 23h ago

Data & AI Technical Delivery Manager

NTT DATA·London, England, United Kingdom·Hybrid·Full-time
Sourced listing · wttjNo salary disclosed
Posted
12 June 2026
via wttj
Type
Full-time
Arrangement
Hybrid
United Kingdom
Deadline
13 July 2026
closes in 30d
compensation · not disclosed
Salary not shared
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Summary

the pitch

Join NTT DATA, a leading systems integrator and consulting multinational, as a Data & AI Technical Delivery Manager. In this role, you will lead the execution of profitable professional data and AI delivery, ensuring quality, timing, and financial delivery objectives are met by the team. You will manage multiple delivery teams, work closely with other practices, and be comfortable with various engagement types. The ideal candidate will have a minimum of 10 years of experience in delivery management, with at least 5 years working with data or AI technologies.

Role

posted by company

Join NTT DATA, a leading systems integrator and consulting multinational, as a Data & AI Technical Delivery Manager. In this role, you will lead the execution of profitable professional data and AI delivery, ensuring quality, timing, and financial delivery objectives are met by the team. You will manage multiple delivery teams, work closely with other practices, and be comfortable with various engagement types. The ideal candidate will have a minimum of 10 years of experience in delivery management, with at least 5 years working with data or AI technologies.

Key responsibilities

  • Leads the execution of profitable professional data and AI delivery for NTT DATA and clients, ensuring quality, timing, and financial delivery objectives are met by the team.
  • Responsible for delivery of a large and complex programme, or a few medium sized projects simultaneously from inception to outcome delivery, managing multiple delivery teams.
  • Management of demand planning, forecasting, budgeting and prioritisation of project work within the team, ensuring adherence to delivery methodology, quality and architectural principles.