A diversified investment and operating organization is seeking a senior enterprise data leader to establish and own a governed semantic and ontology capability supporting a modern enterprise data platform.
This role will ensure consistent definitions of business entities, metrics, and relationships across multiple data sources. The successful candidate will combine hands-on architecture, ontology and semantic engineering, governance, stakeholder leadership, and technical team oversight to enable reliable reporting and AI-driven business applications.
RESPONSIBILITIES- Design canonical business entities, enterprise taxonomies, ontologies, and semantic models.
- Define certified enterprise metrics and maintain consistency across reporting consumers.
- Lead semantic model implementation, source-to-semantic mapping, and knowledge graph development.
- Establish stewardship, lineage, security integration, version control, and semantic validation.
- Support enterprise BI, natural-language querying, RAG, and agentic AI through governed interfaces.
- Lead technical resources and coordinate across data engineering, governance, security, and business teams.
- Establish standards for model accuracy, testing, and production change management.
- Own the semantic roadmap, adoption strategy, and measurable business outcomes.
Role Requirements- Significant enterprise data architecture or related experience, with strong production implementation depth.
- 5+ years of enterprise semantic, ontology, or knowledge graph ownership.
- At least one semantic or ontology capability successfully delivered into production and business adoption.
- Enterprise semantic or metric tooling experience, with Microsoft Fabric particularly important.
- Strong RDF, RDFS, OWL, SPARQL, SHACL, SKOS, and graph technology knowledge.
- Dimensional, canonical, and enterprise data modeling expertise.
- AI grounding, natural-language query, RAG, and agent-related data integration experience.
- SQL, Python, version control, CI/CD, and automated validation.
- Technical team leadership, governance, and senior stakeholder engagement.
- Bachelor's degree in a related discipline or equivalent practical experience.
PREFERRED EXPERIENCE- Microsoft Purview and Dynamics 365 Finance & Operations.
- Enterprise catalogs such as Collibra or Alation.
- Industry ontologies and Palantir Foundry modeling.
- Vector database or ontology-informed retrieval experience.
- Relevant advanced degree or certification.