Data Ontology & Standards EngineerScientist

Apogee is seeking aData Ontology & Standards Engineer/ScientisttoLead 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****

• 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.

MinimumExperience:

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

• Bachelors 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