IT-Systemhaus der Bundesagentur für Arbeit

Project Lead AI Transformation (f/m/d)

Stellenbeschreibung:

A Snapshot of Your Day

Imagine being the driving force behind one of the most consequential technology shifts in the energy sector in a role with a high degree of ownership, autonomy, and decision‑making responsibility. As a Project Lead AI Transformation (f/m/d) you sit at the intersection of strategy and execution, aligning with senior leaders across global regions, facilitating cross‑functional workshops with business units, IT, and external suppliers, and turning ambitious AI goals into scalable, real‑world solutions. You'll rethink how existing processes work, shaping them into digital‑ and AI‑ready workflows that deliver measurable impact. Every day brings a new challenge: balancing short‑term delivery with long‑term transformation, managing complex dependencies, and reporting progress directly to executive leadership.

How You’ll Make an Impact

  • Lead a global AI initiative portfolio from ideation through to industrialization and scaling, delivering measurable outcomes such as efficiency gains, cycle time improvements, cost reductions, and risk mitigation.
  • Shape and evolve the AI roadmap, continuously aligning priorities with business strategy and partnering with data science, engineering teams, and technology partners to ensure feasibility and scalable implementation.
  • Drive process transformation by working closely with business stakeholders to standardize, simplify, and enable existing workflows to become truly digital‑ and AI‑ready.
  • Collaborate across global regions, cross‑functional teams, and external suppliers to ensure AI solutions integrate seamlessly into core business processes and systems.
  • Bring AI adoption across the organization, acting as a key change agent for capability building, while providing high‑quality executive reporting and decision‑making support.

What You Bring

  • University Degree in Engineering, Computer Science, Business, or a related field; PMP, IPMA, Scrum, or equivalent certification is a plus.
  • Many years of experience leading complex, technology‑driven programs or transformation initiatives, with a proven track record in AI, digital transformation, or data‑driven delivery.
  • Solid understanding of AI/ML, data ecosystems, and digital architectures, with the ability to translate real business challenges into scalable, high‑impact AI solutions using agile and hybrid delivery approaches.
  • Demonstrated leadership in international matrix organizations, with strong experience managing external partners and influencing across organizational boundaries at all levels, including senior leadership.
  • Advanced English proficiency is required; German is a strong plus. Willingness to travel internationally is required.

Benefits

  • In addition to an attractive remuneration package in line with the market, you can expect an attractive employer‑financed company pension scheme.
  • We also offer the opportunity to become a Siemens Energy shareholder.
  • We offer our employees the opportunity to work flexibly and remotely, and our inspiring offices provide space for collaboration and creativity.
  • The professional and personal development of our employees is very important to us. We provide them with the opportunities to learn and develop in a self‑determined way, various attractive programmes and learning materials are available for this purpose.
  • In relation to the "compatibility of family and work", we have a wide range of offers, e.g. flexible working time models, childcare places at many locations, the possibility of trial part‑time work or even a sabbatical.

We value equal opportunities and welcome applications from people with disabilities.

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NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    19 Mai 2026
  • Standort:

    Erlangen

    Einsatzort:

    Kreis Nordfriesland, Fachdienst Personal
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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