Technical Data Governance Manager

Vor 2 Tagen


Hamburg, Hamburg, Deutschland About the team At E, data capabilities are split into two pillars: "data as an asset to innovation" and "data usages as i.e. A Vollzeit

About the Team

E.ON is a pioneer in data innovation, with capabilities split into two pillars: "data as an asset to innovation" and "data usages as i.e. AI and data analytics". As a Technical Data Governance Manager, you will focus on the pillar "data as an asset to innovation" and design and roll-out data governance & management capabilities across multiple digital technologies, platforms, and business units to support our data strategy.

You will be part of the central Data Architecture & Governance team, collaborating with various data and technical teams, and key stakeholders on the central level, such as Digital Strategy, Data Protection, Information Security, Enterprise Architecture, as well as at the business units level across Europe.

Your tasks will include:

  1. Design, embed, operate and scale data governance processes across various data programs, systems, and digital innovations.
  2. Design and automate process and status documentation of metadata and governance requirements.
  3. Collect compliance and business requirements, coordinate task forces, and provide guidance.
  4. Develop a central data governance framework, including definitions, formalization, and roll-out of roles and responsibilities.
  5. Contribute to data strategy and its implementation.
  6. Upskill and share knowledge on data governance and management.
  7. Lead the definition, alignment, and operationalization of sub-strategies for data management and governance.
  8. Collect industry-wide trends and identify data-driven innovation opportunities.

Requirements

We are seeking a highly skilled professional with:

  1. Bachelor or Master's degree in data engineering, data modelling, informatics, data science, economics, or equivalent profession.
  2. Multiple years of experience in project management, data engineering, technical operationalization of data governance roles, and data management functions.
  3. Excellent understanding of data-management, -governance, -strategy, and -architecture tools and technologies.
  4. Good understanding of metadata management concepts and technical connections.
  5. Working experience in building enterprise business glossaries and data ownership & stewardship in data catalog tools.
  6. Strong consulting, facilitation, and communication skills.
  7. Ability to understand and link legal obligations into organizational and technical implications.


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