NTT DATA Europe & Latam · Ro, Emilia romagna, Italia ·


Descrizione dell'offerta

Position Summary

The Head of AI Center of Excellence will lead a small, high‑impact team of forward‑deployed builders who work directly on real operational and customer problems, turning AI potential into measurable value for the SAP and managed services business.

Responsibilities

  • Hire, develop, and lead a team of technical AI builders.
  • Improve internal managed services performance through AI.
  • Create a high‑performance culture focused on shipping working solutions.
  • Ensure the team works directly with business and technical stakeholders.
  • Prioritize use‑cases based on value, feasibility, scalability, and strategic relevance.
  • Establish clear entry and exit criteria for CoE involvement.
  • Identify the business problem; validate whether AI is the right mechanism.
  • Define target outcome and KPIs.
  • Build or orchestrate a working MVP.
  • Test with real users, real data and constraints, measure impact.
  • Decide whether to stop, scale, hand over, or productize.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience.
  • 7–10 years of hands‑on experience in full‑stack, backend, platform, integration, or automation engineering, using TypeScript, JavaScript, Python, or similar modern programming languages.
  • Strong understanding of applied AI, generative AI, agentic AI, and automation.
  • Experience building or leading teams that deliver working software or AI solutions.
  • Ability to architect AI systems and challenge technical decisions.
  • Understanding of enterprise IT, application management, or managed services.
  • Strong appreciation of SAP environments and operational realities of SAP services.
  • Experience with ticketing, service management, and operational data.
  • Experience moving ideas from discovery to MVP to production handover.
  • Strong stakeholder management across business, delivery, architecture, and operations.
  • Ability to prioritize based on measurable value rather than hype.
  • Comfort working within enterprise constraints, standards, and platform decisions.
  • Strong communication skills, fluent English; German is a plus.

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