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Aufgabe

As chapter lead (m/w/d) in the Chapter AI & Data Science you have the staff leadership responsibility for the employees following the Group leadership principles in a large chapter of people having strong expertise in machine learning, artificial intelligence, data engineering, data analytics and data science.

  • You are responsible for selected projects/functional topics within the Data Horizontal unit
  • You supervise teams working on these topics and are accountable for the delivery
  • You cooperate with other functional areas within the Data Horizontal unit and co-create the strategy and the data architecture
  • You are responsible for staffing teams working in vertical product teams according to their demands and the competences of the employees
  • You are responsible for the capacity utilization of the chapter, optimizing the chapter using key performance indicators and increasing process efficiency in the task area
  • You ensure future-oriented and sustainable skill development for all employees in line with the business strategy taking functional trends in the market into account: actively sharing knowledge (communities of practice), initiating trainings and promoting talents
  • You cascade the higher-level strategy into your area: briefing your employees and keeping them informed about general matters
  • In alignment with the employees and leads of the chapter you steer the focus areas and competences of the employees and act as a technical go-to person for the leaders of the vertical units and other organizational units

Profil

  • You have multiple years of technical or disciplinary leadership experience; leading (distributed) teams in data science, artificial intelligence, data engineering or machine learning
  • You have proven experience in identifying and developing the specific potentials of talents, supporting their growth by creating the necessary work environment and challenges
  • You have proven theoretical and hands-on knowledge in artificial intelligence, machine learning, data engineering or data science, where you have successfully implemented multiple relevant projects from ideation to deployment
  • You are impact- and outcome-focused and poses a strategic and innovative way of thinking
  • You are a self-driven learner
  • First experience in telecommunication, ideally in DTAG is beneficial
  • Master or comparable degree in computer science, engineering or in a related field. A PhD is a plus
  • You are business fluent in English and German

Was wir bieten

  • Teilzeit möglich

    Bei uns gibt es nicht nur Vollzeit-Jobs - wir bieten diese Stelle auch in Teilzeit an.

  • Weiterbildungsangebote

    Lebenslanges Lernen ist für uns unverzichtbar. Ob vor Ort oder digital. Wir bieten eine große Anzahl an Weiterbildungsmöglichkeiten - vom Seminar bis hin zum berufsbegleitenden Studium.

  • Betriebliche Altersvorsorge

    Gut aufgestellt im Alter - wir bieten eine betriebliche Altersvorsorge und zahlen abhängig von Alter und Einkommen unserer Mitarbeiter*innen regelmäßig auf ein persönliches Versorgungskonto ein.

  • Mitarbeiterrabatte

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  • Gesundheitsangebote

    Die Gesundheit unserer Mitarbeiter*innen ist uns wichtig. Daher bieten wir kostenlose Gesundheitschecks, regelmäßige Vorsorgeuntersuchungen und viele (Online-)Kurse rund um das Thema Gesundheit an.

Über uns

Über uns

Deutsche Telekom AG
We feel as much at home in Bonn as we do in the 50 other countries around the globe where we provide our services. As one of the leading telecommunications providers in Europe, we also have a footprint in the markets in Asia and the United States. We're on our way to become one of the industry's top service companies and want you to help us to get there.

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Lidia Kocsis

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