Senior Ontology & Semantic Process Architect
Senior Ontology & Semantic Process Architect
Senior Ontology & Semantic Process Architect
Senior Ontology & Semantic Process Architect
Siemens
Industrie und Maschinenbau
München
- Art der Beschäftigung: Vollzeit
- Hybrid
- Zu den Ersten gehören
Senior Ontology & Semantic Process Architect
Über diesen Job
- München - Bayern - Deutschland
What we offer you
- 2 to 3 days of mobile working per week as a global standard
- Development opportunities for both personal and professional growth
- 30 leave days and a variety of flexible working models that allow time off for yourself and your family
- Share matching programs to become a shareholder of Siemens AG
- Appealing Siemens pension benefits
Since each of over 300,000 team members feels that other benefits are particularly important, and we cannot list our entire benefit portfolio here, you can find more information here .
The individual benefits are subject to regulatory, contractual, or corporate conditions.
You’ll make an impact by
- Semantic Discovery & Knowledge Extraction:
- Lead workshops with stakeholders to extract domain concepts, relationships and operational insights, transforming "tribal knowledge” into formal semantic structures.
- Translate processes, pain points and business logic into unified semantic models, identifying inconsistencies across hubs.
- Designing Conceptual Ontologies & Structures:
- Create domain-specific conceptual ontologies, mapping processes, entities and relationships.
- Develop reusable patterns, templates and semantic modeling guidelines designed to scale across departments.
- Align semantic models with DS service portfolios and AI use cases.
- Advisory for AI, Automation & Process Transformation:
- Act as a trusted advisor to leadership, product teams and business units, identifying use cases where ontology enhances AI reasoning, process harmonization and decision automation.
- Communicate the strategic importance of semantics within AI transformation initiatives, helping bridge the gap between business needs and GenAI solutions.
- Governance & Standards:
- Establish modeling standards, governance processes and semantic conventions.
- Maintain the semantic "single source of truth” within key domains, ensuring scalability and accuracy.
- Cross-Functional Collaboration:
- Partner with data engineers and technical graph modeling teams to ensure seamless handover from business conceptual models to technical implementations.
- Validate technical ontology builds against business meaning and operational accuracy.
- Evangelism & Capability Building:
- Train teams on semantic modeling, best practices and the strategic value of ontology.
- Expand the Ontology Community of Practice across Siemens.
- Enable globally consistent semantic frameworks that scale across the GBS ecosystem.
This is how you'll win us over
- Education: Master’s degree in Systems Thinking, Industrial Engineering, Information Systems or a related field.
- Experience & Skills:
- Extensive professional experience in consulting, business architecture, semantic modeling or process management.
- Proven ability to conceptualize complex systems and communicate their meaning in simple, logical frameworks.
- Extensive experience conducting workshops, requirements engineering or business analysis.
- Solid understanding of enterprise processes like AP, Procurement, Order Management, HR and Finance.
- Familiarity with AI and automation initiatives, specifically how semantics enhance their functionality.
- Ways of working:
- Outstanding analytical and conceptual thinking skills, paired with a strong ability to structure meaning and create logical relationships.
- Exceptional communication and stakeholder management abilities, particularly in cross-functional and international environments.
- Proactive approach to challenges with a focus on structured problem-solving and knowledge building.
- Comfortable explaining complex concepts, facilitating discussions and managing information architecture.
- Languages: Fluent English is essential; German proficiency is a strong advantage.
- Nice-to-Have:
- Exposure to semantic modeling tools or frameworks like BPMN, UML, taxonomies, and domain models.
- Conceptual knowledge of GenAI, such as RAG, knowledge graphs, or AI agents.
- Familiarity with tools such as Miro, Jira, Confluence, or similar collaboration platforms.
You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!
At Siemens, we believe that feeling valued and included is the foundation for doing great work. That’s why we aim to create an inclusive workplace where everyone feels a sense of belonging, and where individual perspectives and experiences are celebrated. Our commitment to fairness and respect extends to every applicant.
As an equal opportunity employer , we welcome applications from individuals of all backgrounds and particularly encourage applications from persons with disabilities.
About us
Imagine being part of a company where you deliver innovative services across functions.
That's exactly what we do at Siemens Global Business Services. We are the creative force that provides other units of Siemens AG with state-of-the-art services. Whether it's fine-tuning business management, optimizing human resources, supply chains, or engineering, you'll find us involved. Are you ready to redefine the boundaries of what's possible?
You can find more information about the department and its services here .
www.siemens.de/careers – if you would like to find out more about jobs & careers at Siemens.
FAQ – if you need further information on the application process.