Logo Enercity AG

Head of Department Data & AI Solutions

New

Job

  • Level
    Lead
  • Job Field
    IT, Data, DevOps
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Location
    Hanover
  • Working Model
    Onsite
  • Job Summary

    In this role, you lead the Data and AI team, developing data-driven solutions for energy trading, including architecture definition, analytics, and governance processes.

    Your role in the team

    • You will take on the strategic leadership and development of the team while also advancing the Data & AI architecture of the department - including defining target images, standards, and roadmaps for data integration, data management, and AI applications.
    • Development and enhancement of data-driven decision-making foundations for energy trading, including the development, implementation, and utilization of advanced analytics, predictive models, and backtesting functionalities to evaluate and optimize trading strategies.
    • In addition, you will oversee the operational management of the Data Engineering, Platform, and AI projects teams and ensure that the operation of the platforms remains efficient and scalable.
    • Furthermore, you ensure quality, stability, security, and compliance across the entire data and AI infrastructure - including monitoring, incident and change management, as well as MLOps governance.
    • In close collaboration with other departments, you identify data-driven use cases and oversee their implementation into scalable solutions – from data collection to the operational deployment of the models.
    • Promotion of innovation, knowledge transfer, and engineering excellence in the Data & AI domain, including coaching teams, introducing modern technologies and methodologies, is also part of your responsibilities.

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    Our expectations of you

    Education

    • You hold a successfully completed Master's degree in Computer Science, Business Informatics, Data Science, or a comparable qualification.

    Qualifications

    • In addition, you stand out through high self-initiative, a passion for innovation, as well as a pronounced analytical and strategic mindset.
    • You are fluent in both German and English in conversational contexts.
    • A communication and leadership skills, as well as your enthusiasm for data-driven business models and modern AI technologies, complete your profile.

    Experience

    • Many years of practical experience in the field of automated trading (energy or financial markets) as well as solid expertise in the development, implementation, and operational management of data-driven trading strategies.
    • You bring several years of experience in leading Data Engineering or AI teams - ideally in the energy or IT sector - and possess solid expertise in building and operating modern data platforms, cloud technologies, and MLOps processes.

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    What we offer

    • In this role, you ensure that the data and AI capabilities of the Trading & Energy division are developed, managed, and sustainably scaled.
    • You lay the foundation for data-driven decision-making while simultaneously ensuring compliance with governance and regulatory requirements that are essential in a regulated environment.
    • Your value contribution is immediately visible - through faster time-to-value, stable data and AI platforms, higher value realization, and improved data quality.

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    Benefits

    Work-Life-Integration

    Topics You Will Work On

    Job Locations

    • Location Hanover

      Niedersachsen

      Germany

    About Your Employer

    Enercity AG

    Enercity AG

    As one of the 10 largest and most sustainable energy service providers in Germany, enercity offers you the chance to help shape the energy transition. We are currently undergoing a transformation that is changing our corporate culture drastically.

    Description

  • Founding Year
    1826
  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Power Sector, Economy
  • Logo Enercity AG

    Head of Department Data & AI Solutions

    Location
    Hanover
    Working Model
    Onsite
    Diversity
    Open for all genders

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