TÜV SÜD – A global leader in the field of testing, inspection, management system certification and product certification renowned for quality, integrity and technical excellence.

Established more than 150 years ago in Germany, TÜV SÜD is a leading global provider of technical services with more than 28,000 highly skilled employees across 1,000 offices worldwide. TÜV SÜD offers a wide range of testing & product certification, inspection, auditing & system certification, training and knowledge services. We are a premium quality, safety, and sustainability solutions provider.

Responsibilities

• Take over full functional and technical ownership of our enterprise-wide data analytics platform, supporting self-service BI, advanced analytics, and data governance – currently based on Microsoft Fabric.
• Manage the platform lifecycle, including release planning, update coordination, testing concepts, and the technical operation in close collaboration with IT and business units.
• Gather and prioritize and implement platform-related requirements from stakeholders (e.g., functionality, integration, governance), evaluate technical feasibility, and ensure compliance with data privacy and security standards.
• Ensure the platform architecture supports secure, scalable usage by data engineers, data analysts, business users, and data scientists.
• Maintain all necessary documentation and concepts, such as platform architecture, security concepts, data protection, integration and interface and operations concepts.
• Collaborate with data architects, IT security, data privacy teams, procurement, and external vendors – including vendor selection and management for development, support, or operations.
• Maintain a product roadmap and implement it to meet the expectations of the users.

Qualifications:

• Solid experience as Application Owner, Platform Owner, or a similar role in analytics, BI, or data platform domain.
• Good understanding and experience with corporate IT management processes.
• Technically fluent with tools like Microsoft Fabric, Power BI, Azure Synapse, or similar data management platforms.
• Understand data management, data models, ETL processes, interfaces (e.g., ODBC, REST, SQL, DWH), and data governance practices.
• Comfortable navigating between business and IT, documenting and prioritizing requirements in a structured way. Being able to manage the expectations of multiple stakeholders is important.
• Customer oriented and ability to translate customer requirements into feasible technical solutions.
• Independent, solution-oriented and a strong communicator – fluent in German and English.