Semantic Data Modeler with AI and Ontology Expertise

• We are seeking an experienced Semantic Data Modeler with strong AI, ontology, and knowledge graph expertise to design and govern enterprise semantic models that make data consistent, interoperable, and AI-ready.
• This role will bridge traditional data modeling, semantic-layer design, ontology engineering, and GenAI-enabled analytics by translating complex business concepts into governed semantic structures that support BI, self-service analytics, semantic search, knowledge graphs, and natural language query experiences., * Design, develop, and govern enterprise semantic data models that define business entities, attributes, relationships, hierarchies, metrics, dimensions, and KPIs.
• Translate business requirements into conceptual, logical, physical, and semantic model designs that align with enterprise data architecture and governance standards.
• Develop ontology-driven semantic structures, including taxonomies, controlled vocabularies, canonical concepts, relationship types, constraints, and reusable business definitions.
• Design and maintain knowledge graph-ready models that support semantic interoperability, entity resolution, relationship-aware analytics, semantic search, reasoning, and AI grounding.
• Map relational, dimensional, API, streaming, and Lakehouse data structures into governed semantic models and ontology concepts.
• Partner with business stakeholders, domain SMEs, data architects, data engineers, BI teams, AI/ML teams, and governance teams to resolve data-definition conflicts and validate model design.
• Support GenAI and natural language analytics use cases by enabling consistent business terminology, semantic grounding, metadata enrichment, and trusted data definitions.
• Establish ontology and semantic modeling governance practices, including versioning, naming standards, change management, lineage, data quality rules, and reuse guidelines.
• Document semantic assets, including entity definitions, relationship definitions, business rules, model mappings, assumptions, constraints, and data lineage.

• 8+ years overall IT/data experience, including 5+ years in data modeling and semantic model development; y
• 2+ years preferred in ontology, knowledge graph, or AI-enabled data products, * 8+ years of experience in data architecture, data modeling, data warehousing, analytics, information architecture, or related data management roles.
• 5+ years of hands-on experience designing logical, physical, dimensional, relational, and semantic data models.
• Strong understanding of semantic modeling concepts, including business entities, dimensions, measures, hierarchies, canonical models, metadata, business glossaries, and semantic layers.
• Hands-on or working knowledge of ontology and knowledge representation concepts, including classes, properties, relationships, constraints, axioms, taxonomies, and controlled vocabulary.
• Experience or strong familiarity with semantic web and ontology standards such as RDF, RDFS, OWL, SKOS, SHACL, SPARQL, JSON-LD, or Turtle.
• Experience with knowledge graph concepts, graph data modeling, entity resolution, relationship modeling, graph query patterns, and semantic validation.
• Strong SQL skills with the ability to analyze, profile, validate, and reconcile data across multiple source systems.
• Experience with cloud-based data platforms such as Collabra, OneLake, Azure, SQL Server, Snowflake, Databricks, or equivalent modern data platforms.
• Ability to collaborate with AI, ML, data science, and analytics teams to support AI-ready data products, semantic grounding, and natural language query use cases.
• Strong communication and facilitation skills to translate complex business concepts into formal models that are clear to both technical and non-technical stakeholders.

AI and GenAI Skills:

• Understanding of how semantic models, ontologies, and metadata improve AI/GenAI outcomes through grounding, context enrichment, explainability, and reduced ambiguity.
• Familiarity with Text-to-SQL, natural language BI, semantic search, retrieval-augmented generation, and AI-assisted analytics patterns.
• Ability to define AI-consumable business terms, entities, relationships, metrics, synonyms, and domain rules for trusted query and retrieval experiences.
• Experience supporting AI-ready data products by aligning source-system data, canonical models, metadata, lineage, and governed business definitions.
• Exposure to vector search, embeddings, LLM prompt grounding, knowledge graph-enhanced RAG, or graph-based context retrieval is preferred.
• Ability to partner with AI/ML engineers and data scientists to identify the semantic structures required for model features, reasoning, recommendations, and intelligent automation.

Ontology and Knowledge Graph Skills:

• Ability to design business ontologies that define enterprise concepts, concept hierarchies, relationships, constraints, and reusable domain vocabulary.
• Experience creating taxonomies, controlled vocabulary, canonical models, and concept schemes that standardize meaning across business and technical teams.
• Familiarity with RDF, OWL, SKOS, SHACL, SPARQL, RDFS, JSON-LD, Turtle, and linked-data principles.
• Experience mapping relational schemas, dimensional models, APIs, and Lakehouse tables into ontology concepts and knowledge graph structures.
• Knowledge of ontology governance practices such as versioning, change control, deprecation policies, stewardship, reuse standards, and cross-domain alignment reviews.
• Familiarity with ontology and graph tools such as Protégé, TopBraid, PoolParty, VocBench, Neo4j, Stardog, GraphDB, Amazon Neptune, or equivalent platforms is preferred.
• Ability to apply semantic validation rules and constraints to improve model quality, consistency, and interoperability.
• Awareness of industry reference ontologies and models such as FIBO, BIAN, GS1, TM Forum, OSI or other domain-specific standards is preferred.

ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-owned company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Candidate Data Collection Disclaimer: At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.