Data Governance Context Engineer

Description du poste

We are seeking a Data Governance Context Engineer to design, evolve, and operationalize semantic models and knowledge graphs that enhance data understanding and reuse across the organization. This is a hands-on individual contributor role focused on ontology design, semantic consistency, and collaboration with business and technology partners. You will work closely with subject matter experts and data teams to translate real-world business concepts into structured semantic models supporting analytics, AI, and data integration use cases. This role is ideal for a senior professional with a strong foundation in semantic technologies and a passion for working at the intersection of data, business context, and meaning.

Principales responsabilités

• Partner with business subject matter experts to understand data domains and define key concepts, relationships, and definitions
• Design, maintain, and evolve ontologies, taxonomies, and semantic models aligned with business processes
• Build and manage knowledge graphs to standardize meaning across datasets and systems
• Develop and maintain RDF-based representations using semantic web standards
• Ensure semantic models remain consistent, scalable, and adaptable to evolving business needs
• Collaborate with data and platform teams to integrate semantic models into data platforms
• Document and publish reusable semantic artifacts and best practices
• Utilize Python and AI techniques to support semantic workflows

Qualifications requises

• 6+ years of experience in semantic modeling, ontology development, or knowledge graph implementation
• Hands-on experience designing and applying semantic models in real-world data environments
• Strong knowledge of semantic web technologies such as RDF, RDFS, and OWL
• Experience working with knowledge graph platforms (e.g., Neo4j)
• Ability to translate business concepts into structured semantic representations
• Familiarity with Python for data processing, automation, or semantic workflows
• Strong communication skills and ability to collaborate with technical and non-technical stakeholders
• Bachelor’s degree or equivalent practical experience

Qualifications préférées

• Experience with graph-enabled AI approaches such as GraphRAG
• Familiarity with Collibra or other AI/ML data quality solutions
• Knowledge of data stewardship, metadata management, data lineage, and master data management
• Exposure to business intelligence tools and automation platforms

Formation

Education: Bachelors Degree