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• Design and evolve EPC-domain ontologies covering equipment, materials, assets, vendor data, schedules, and engineering documents
• Build enterprise knowledge graphs using RDF/OWL and property graph models to unify structured and unstructured data
• Develop semantic taxonomies, metadata models, and controlled vocabularies for improved data interoperability
• Implement ETL/ELT pipelines to ingest data from ERP, BIM, EAM, procurement, and project systems into graph databases
• Perform entity resolution, deduplication, and golden record creation for EPC entities
• Enable semantic search and retrieval using SPARQL, Cypher, Gremlin, and hybrid graph + vector approaches
• Define ontology governance including versioning, lineage, stewardship, and change management processes
• Collaborate with SMEs to validate semantic models across EPC lifecycle stages (FEED, execution, commissioning, operations)
• Optimize graph performance through indexing, query tuning, caching, and scalable architecture design
• Develop documentation, data dictionaries, and adoption guidelines for enterprise-wide usage
• Support AI/ML integration including graph embeddings, RAG pipelines, and feature generation
• Contribute to roadmap and tooling strategy for enterprise semantic capabilities
Job ID: 146487229