Data Ontology & Standards Engineer/Scientist

Bachelor’s degree in Information Science, Computer Science, Data Science, or related field. Responsibilities: Develop and maintain knowledge models, including mission-relevant terms, definitions, hierarchies, and relationships.

Overview:

Apogee is seeking a Data Ontology & Standards Engineer/Scientist to Lead the design and governance of mission-focused data ontologies, standards, and knowledge models to enable interoperable, integrated intelligence data across NASIC and partner enterprises.

 

 

****Contingent Upon Contract Award****

Responsibilities:

• Develop and maintain knowledge models, including mission-relevant terms, definitions, hierarchies, and relationships.
• Define and document data standards that enable consistent data integration and reuse.
• Collaborate with cross-functional teams (mission analysts, engineers, architects, data owners) to validate and adopt standards.
• Guide data architecture planning and standard approval processes in coordination with governance bodies.
• Support integration of ontologies and standards into tools, repositories, and workflows.
• Produce the monthly Data Ontology Posture Report documenting progress against mission requirements and recommended standards.

Qualifications:

Minimum Experience:

Citizenship: Must be a US citizen 
Clearance: Ability to obtain and maintain TS/SCI
Education / Years of Experience:

• Bachelor’s degree in Information Science, Computer Science, Data Science, or related field.
• 8+ years of experience in data architecture, ontology/metadata design, or enterprise data management.
• Experience defining and managing controlled vocabularies, taxonomies, or ontologies in complex domains.
• Strong understanding of data modeling concepts and data integration patterns.
• Demonstrated ability to lead cross-functional standards and governance efforts.

Preferred Qualifications:

• Experience with semantic technologies (e.g., RDF/OWL, knowledge graphs) or standards such as UML, OWL, or SKOS.
• Background in intelligence data standards or community data models.
• Experience implementing data standards within cloud or enterprise platforms.
• Familiarity with MBSE, digital engineering, or analytics platforms that consume standard data models.

Additional Information
Location:  Wright Patterson AFB Dayton, OH
On-site/Hybrid/Remote: On-site
Travel: Occassional