SO_Data Governance and Data Catalog Management Expert_2026

About the role

Role Overview As a Data Governance Expert, with data catalog focus, you will be responsible for: - Driving the technical implementation of the data governance framework based on the data management and governance policy with special focus on metadata management field and data cataloging. - Data Catalog technical Migration - Identifying data governance and metadata management use cases and solving them with a data catalog solution. - Defining a metadata management concept and implementing the concept in the data catalog solution. - Defining and maintaining meta-model in the data catalog - Identifying the main data resources and connecting them with the data catalog. - Maintaining the metadata and improving the metadata management in the data catalog. - Creating and maintaining business glossary in the data catalog/business glossary solution. - Training and enabling the data stewards in the metadata management, governance, and data catalog fields. - Defining and establishing a standard for metadata management and catalog for Powertrain Solution (PS) organization and include different aspects like enterprise requirement, technology drivers, economics, business policies and data processing need. - Managing and improving the data catalogue solution. - Consulting the data stewards, business units, plants, and teams in data governance, metadata management and data catalog topics and in building/improving the data management for their use cases. - Education : University degree (master's degree/diploma/PhD) with focus on data scientist, data management, information technology or comparable education. - Personality : Team-minded, open to learn, independent, good communication and coordination skills - Working Practice: Agile mindset, high level of self-motivation - Experience and knowledge: 5+ years of experience and expertise in the data governance and metadata management field in an automotive context or in comparable industries - IT-Skills: Experience with data catalogue, data management tool, query languages (SQL), python, java (optional), ETL and data integration solution, API development solutions, SAP (optional), Databricks, Data warehouse, MS-SQL Databases, SaaS solutions, AWS, Azure. - Languages: Very good English skills- both written and spoken, Good German language skills (optional)

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