Data Governance Manager

At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow’s reality. Find out more about the Digital world of Siemens here:

Are you ready to be part of the journey and help us make real what matters?

Join our team as a developer for future software technologies and drive the digital transformation of our products within Digital Industries Software.

• Data governance framework according to SDC/Collibra
• Bring Collibra to life and own it for the Data Domain:
  Software
• Driving/implementing definitions, data structures, creation of Meta Data for data products (objectives: enable data lineage/transparency and prepare data to usable by AI)
• Be instrumental for creation process of data products/ develop a data product strategy for DI SW
• Establish a certification process for data products
• Drive a change management process into the business to adopt definitions in the business

Be the leader of the platform for central “golden standard” reporting

• You have a global mandate to shape the next level of technology for a holistic, consistent, and reliable reporting landscape
• You introduce a data aggregation layer platform to set the North Star within DI SW Finance reporting, which enables/implements a governance framework
• You strive the balance between centralized reporting governance and decentralized organizational needs (federal approach)
• You are working in liaison with different analytic teams, and you have the global mandate to harmonize reporting needs and define the corporate standard
• Develop and maintain reporting standards: establish, document, and enforce comprehensive reporting governance policies, standards, and procedures to ensure consistency, accuracy, and reliability across all organizational reports.
• Ensure data quality and integrity: implement processes and controls to monitor and improve the quality, accuracy, and completeness of data used in reporting, collaborating closely with data owners and IT teams.
• Manage reporting lifecycle: oversee the entire lifecycle of reports, from initial requirements gathering and design to development, testing, distribution, and eventual retirement, ensuring efficiency and effectiveness.
• Stakeholder collaboration: partner with various business units, IT, and data analytics teams to understand reporting needs, define clear requirements, and ensure reports meet strategic objectives.
• Compliance and risk management:
  Collibra and SDC alignment is needed.
• Tooling and best practices: drive the adoption of best practices for reporting tools and methodologies, providing guidance and training to report developers and end‑users.
• Documentation and knowledge management: maintain robust documentation for all governed reports, including data definitions, business rules, source systems, and distribution methods.

• Educational Background:
  Bachelor's degree in Business Administration, Information Systems, Data Science, Finance, or a related quantitative field.
• Professional
  
  Experience:
  
  5+ years of experience in data governance, reporting, business intelligence, data analytics, or a similar role with a strong focus on data quality and control.
• Reporting Expertise:
  Proven experience in designing, developing, and governing enterprise‑level reports and dashboards.
• Data Governance Knowledge:
  Solid understanding of data governance principles, data quality frameworks, and data lifecycle management.
• Analytical
  
  Skills:
  
  Strong analytical and problem‑solving abilities, with a keen eye for detail and accuracy.
• Communication &
  
  Collaboration:
  
  Excellent written and verbal communication skills, with the ability to articulate complex concepts clearly to both technical and non‑technical audiences.
• Technical Proficiency:
  Familiarity with reporting tools (e.g., Power BI, Tableau, Qlik Sense, SAP Analytics Cloud) and experience with SQL or other data‑querying languages.
• Project Management:
  Ability to manage multiple priorities and projects in a fast‑paced environment.

• Master's degree in a relevant field.
• Experience with large‑scale data…