Siemens Energy

• Data Accountability: Develop and implement policies and procedures to improve data accountability and operationalize the Data Roles & Responsibilities Framework at Siemens Energy. Lead Enablement and Training Programs for the data roles. Support the build of Data communities in the business areas and bring them closer to our formally established data roles.
• Data Security: Lead the development and execution of comprehensive data security and data access management strategies, policies and procedures which are essential for protecting an organization's data assets, mitigating risks, ensuring compliance, and maintaining collaborator trust.
• Data Retention: Lead development of retention framework and secure disposal methods to retain data only as vital and dispose of it securely.
• AI Governance: Lead AI Governance team working on establishing policies and processes to ensure ethical, responsible, and compliant use of AI.
• Work closely with multi-functional teams of Business, Data domains, Cyber security, Legal and Compliance, Artificial Intelligence, Applications teams etc.
• Manage and mentor a team of data professionals, providing guidance, training, and support to achieve departmental goals.
• Develop and implement strategic goals for the team, aligned with organizational objectives.
• Partner Engagement: Collaborate with collaborators across the organization to align strategies with business objectives.
• Innovation: Stay abreast of industry trends and emerging technologies and incorporate innovative solutions to enhance data accountability, data security AI governance

• University degree in computer science, information technology, data science, or a related field.
• Longlasting experience in data management, data governance, data ownership and data security governance roles within large-scale enterprise environments, showcasing proven leadership capabilities.
• Strong track record in developing and implementing effective data governance frameworks.
• Exceptional leadership, communication, and interpersonal skills, complemented by robust analytical, problem-solving, and decision-making abilities. Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities.
• Solid understanding of data accountability or data ownership, data security and compliance principles and practices.
• Proficiency with data governance tools such as Collibra, Informatica, Ataccama, or Talend, ideally with experience in data modeling, architecture, and database management systems.

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.