Global Ontology & Semantic Data Architect

Schneider Electric

Lunds kommun

On-site

SEK 1,100,000 - 1,500,000

Full time

14 days+
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Benefits offered by this job

Total Rewards package
Flexible working options
Volunteer leave

Job summary

Schneider Electric is seeking an expert to establish and lead a global ontology and semantic data strategy within our DE Software organization. You will design practical ontologies for buildings, energy management, and automation systems, applying RDF/OWL/SHACL and related standards.

You will partner with product and engineering teams to deliver machine-understandable models, governance processes, and reusable semantic patterns across products.

Qualifications

  • Significant professional experience with ontology engineering, semantic technologies, knowledge graphs, or related disciplines.
  • Hands‑on experience designing semantic models in production environments.
  • Strong understanding of RDF, OWL, taxonomies, and data classification.
  • Experience with data tagging, metadata management, and semantic validation.
  • Ability to explain ontology value to software products and customers.

Responsibilities

  • Establish and lead the global ontology and semantic data strategy for DE Software.
  • Define a common approach to semantic modeling, entity relationships, metadata, classifications, and data tagging.
  • Develop practical ontologies for buildings, energy management, automation systems, and related domains.
  • Apply RDF, RDFS, OWL, SHACL, SPARQL, JSON-LD, and knowledge graphs where appropriate.
  • Establish processes for ontology development, versioning, validation, extension, and governance.
  • Create reusable semantic models that can be adopted across multiple products and engineering teams.
  • Translate operational concepts into machine-understandable models with product architects, software teams, data teams, AI teams, and domain experts.
  • Identify opportunities to use semantic models to improve interoperability, analytics, search, engineering efficiency, and AI capabilities.
  • Partner with the applied AI team to provide structured domain knowledge, grounding, and contextual relationships.
  • Develop reference implementations and working prototypes that demonstrate business and technical value.
  • Evaluate existing industry ontologies, taxonomies, schemas, and standards before creating proprietary extensions.
  • Build a global community of practice around ontology and semantic data.

Skills

Ontology engineering
Semantic technologies
Knowledge graphs
RDF OWL SHACL
Product architecture

Tools

Graph databases
SPARQL
JSON-LD

Job description

Schneider Electric is seeking an expert to establish and lead a global ontology and semantic data strategy within our DE Software organization. You will design practical ontologies for buildings, energy management, and automation systems, applying RDF/OWL/SHACL and related standards.

You will partner with product and engineering teams to deliver machine-understandable models, governance processes, and reusable semantic patterns across products.

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