Siemens Energy

• Lead and mentor a team of data management professionals, providing guidance and fostering a collaborative environment.
• Develop and implement strategic goals for the team, aligned with organizational objectives.
• Ensure continuous professional development and performance management of team members.
• Offer strategic guidance and assistance to different data domains in Siemens Energy and collaborate effectively to enhance the implementation of the data governance framework.
• Oversee the establishment and enforcement of data quality standards and procedures.
• Support implementation of data quality metrics and reporting mechanisms to monitor and improve data accuracy and consistency across domains.
• Collaborate with multi-functional teams to identify data quality issues and their impact on business processes. Drive and support the design and delivery of the projects to address data quality issues.
• Provide thought leadership and industry standard methodologies on the right architecture, tool and governance model. Work on new ideas like using Data Quality for Artificial Intelligence, designing value Quantification approaches, data monetization opportunities etc.
• Develop and manage the organization's master data & reference data strategy, standards and processes to ensure consistency, accuracy, and reliability of master data across all business systems and support the integration and synchronization of reference data across various platforms.
• Work with business to standardize and harmonize master data definitions and processes and identify and document master data and reference data entities.
• Provide thought leadership on the right tools and approaches needed for data management in SE to make us future proof.

• University degree in information technology, Data Science, Business Administration or a related field.
• Longlasting experience in data management and data quality roles, in large scale enterprise set up with proven leadership capability.
• Proven track record of developing and implementing enterprise data quality, data management strategies and initiatives.
• Excellent leadership, communication, and interpersonal skills. Strong analytical, problem-solving, and decision-making abilities.
• Solid understanding of data quality, master data, and reference data management principles and practices. Experience with data modeling, data architecture, and database management systems is preferred.
• Proficiency with data management tools and technologies, such as SQL, ETL tools, data governance platforms, and MDM solutions like Collibra, Informatica, or Ataccama, or Talend.

At Siemens Energy, we are more than just an energy technology company. With ~100.000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.      

• In addition to an attractive remuneration package in line with the market, you can expect an attractive employer-financed company pension scheme
• We also offer the possibility to become a Siemens Energy shareholder
• We offer our employees the opportunity to work flexibly and remotely, and our inspiring offices provide space for collaboration and creativity
• The professional and personal development of our employees is very important to us. We provide them with the opportunities to learn and develop in a self-determined way, various attractive programmes and learning materials are available for this purpose
• In relation to the "compatibility of family and work", we have a wide range of offers, e.g. flexible working time models, childcare places at many locations, the possibility of trial part-time work or even a sabbatical.