Team Lead Customer Solutions (f/m/d) - Data & AI E.ON Digital Technology GmbH

Stellenbeschreibung:

The Team – your impact

As Team Lead (f/m/d) you are responsible for the development of strategies, the acquisition and delivery of large Data and Analytics programs in time, budget, and quality by leading and growing a team of data scientists and engineers.

Your Role – meaningful & rewarding

  • Lead a team of data scientists and data engineers with your vision for transformation and digitalization within the energy industry
  • Coach and develop a team capable of responding to changing business needs and priorities, drive continuous improvement in performance and quality according to individual’s level of competence
  • Deliver key performance objectives and ensure high-performance across full project life cycle via effective resource planning and scheduling, as well as on‑time, on‑budget, within‑scope and high‑quality project execution
  • Contribute hands‑on in engagements and develop transformative and innovative data products with your deep experience in data science and data engineering
  • Build and strengthen key stakeholder relationships, serve as the primary point of contact for business and technology partners from different E.ON countries, inspire them and identify impactful opportunities for data and analytics solutions
  • Develop strategies to increase engagement opportunities
  • Take ownership of the P&L of your unit and ensure utilization of your team
  • Contribute towards employer branding by speaking at conferences, writing articles and being active on social media

Your Profile – authentic & open-minded

  • You have several years of professional work experience in data science, IT consulting or similar fields of business
  • You have significant professional experience in a leading role within a global data department
  • You have experience in disciplinary leadership of a team of a significant size
  • You have extensive knowledge in the customer solutions business, especially in energy retail and commondity products
  • You have a PhD degree in an interdisciplinary field between economics and AI or a related technical discipline and significant hands‑on work experience
  • You have a proven track record of pitching, selling and delivering innovative data projects
  • You have professional experience in ML model training in Python and you have successfully contributed to open source and/or internal machine learning software
  • You have professional experience in working with state‑of‑the‑art cloud technologies on Azure
  • You have professional knowledge about MLOps and best practice when it comes to software development, such as version control, CI/CD, monitoring, automation and testing (Azure DevOps is a plus)
  • You have excellent leadership, communication, and presentation skills
  • Fluent in English and German

Our Benefits – smart & useful

  • Enjoy flexibility : You can combine coming to the office and working from home flexibly. It’s even possible to go on workation for up to 20 days per year within Europe.
  • Advance your development: We grow and we want you to grow with us. Learning on the job, exchanging with others, or taking part in an individual training – our learning culture enables you to bring your personal and professional development to the next level.
  • Get connected: Take the opportunity to engage in our Digital Empowerment Communities for collaboration, learning, and network building.
  • Recharge your battery: You have 30 days of paid vacation per year plus Christmas and New Year's Eve off. Your battery still needs charging? You can exchange parts of your salary for more paid vacation or you can take a sabbatical.
  • Elevate your mobility: From car and bike leasing offers to a subsidised Deutschland‑Ticket – your way is our way.
  • Think ahead: With our company pension scheme and a great insurance package we take care of your future.
  • b is by far not all … We are looking forward to speaking with you about further benefits during the hiring process.

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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

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    27 Nov 2025
  • Standort:

    WorkFromHome

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