At Siemens Energy, we believe we can. Our technology is key, but our people make the difference. Brilliant minds innovate, connect, and create solutions that transform the world’s energy systems.
If you’re passionate about making an impact, this is your chance!
Experience : 4 – 8 Year
Location : Pune, Mumbai, Bangalore
A Snapshot of Your Day
As a Data Steward for Product Data, you will play a pivotal role in ensuring that Siemens Energy’s data assets are managed in alignment with governance standards and best practices. You will actively support and participate in core data initiatives to increase the maturity of the product data domain. Your responsibilities will include supporting the implementation of the data governance framework, maintaining metadata and lineage, data modelling, improving data quality and collaborating with other data governance professionals and business stakeholders to guarantee FAIR data – findable, accessible, interoperable and reusable.
How You’ll Make an Impact
• Governance Implementation: Leverage Siemens Energy’s data governance framework across the data landscape of the PLM process and the product data domain,
ensuring adherence to internal and external standards.
• Data initiatives: Actively drive data initiatives and support IT projects with data architecture expertise.
• Metadata & Lineage Management: build up metadata repositories and data lineage documentation to foster transparency and traceability of the applications
in the product data domain.
• Data Modelling: build logical, conceptual and semantic data models to improve the understanding and transparency of data connections across the system
landscape.
• Quality Assurance: Define and monitor product data related quality rules, ensuring trusted data is available for analytics and reporting.
• Data Steward Collaboration: Work closely with the data domain manager, other data stewards and business users to integrate governance practices into daily
operations.
• Enablement: Promote data literacy and data governance awareness.
What You Bring
• Degree in Computer Science, Engineering, or a related discipline (preferred).
• Proven experience in data governance, data management, or compliance in enterprise environments.
• Strong knowledge of data governance frameworks, data quality principles, and data modelling practices.
• Expertise in semantic web standards (RDF, OWL, SHACL) for conceptual data modelling and ontology development (Good to have - Knowledge graph, AWS
Neptune).
• In-depth understanding of PLM and the product data domain, particularly within engineering environments.
• Familiarity with governance tools (e.g., Collibra), data catalog solutions, and modelling frameworks (e.g., ArchiMate); experience in semantic modelling
tools (e.g., Protégé).
• Proficiency in SQL, SPARQL, Python, and low-code ETL applications (e.g., Alteryx).
About the team
In Siemens Energy – GT PRM, we are driving the energy transition by building a reliable, sustainable, and digital grid.
We contribute to growth and market participation of GT by driving innovation, shaping the product lifecycle infrastructure, fostering standardization and growing our people backbone
