Apogee Engineering

Provides engineering solutions with client-focused service

Data Ontology & Standards Engineer/Scientist

Data ManagementPosted on Nov 5

Full-timeDayton, OH, USANo salary listed

About the Job

Requirements

A bachelor's degree in Information Science, Computer Science, Data Science, or a related field is required.
At least 8 years of experience in data architecture, ontology or metadata design, or enterprise data management is required.
Experience defining and managing controlled vocabularies, taxonomies, or ontologies in complex domains is required.
A strong understanding of data modeling concepts and data integration patterns is required.
The ability to lead cross-functional standards and governance efforts is required.
U.S. citizenship is required.
The ability to obtain and maintain TS/SCI clearance is required.

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 mission analysts, engineers, architects, and 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.

Desired Qualifications

Experience with semantic technologies such as RDF/OWL and knowledge graphs, or standards such as UML, OWL, or SKOS.
A 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.

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/SCIEducation / 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 InformationLocation: Wright Patterson AFB Dayton, OHOn-site/Hybrid/Remote: On-siteTravel: Occassional

About the Company

Apogee Engineering

Provides engineering solutions with client-focused service

Apogee Engineering provides engineering consulting services, focusing on delivering practical, tailored engineering solutions for clients across various venues and projects. They work by collaborating with clients to understand needs, then designing, developing, and deploying the right engineering approach at the right time, with emphasis on integrity and excellence. The company differentiates itself through a client-first mindset, a small-business, family-like culture, and a commitment to mentoring and professional client support, ensuring reliability and long-term success for clients. The goal is to help clients succeed by providing dependable, effective engineering solutions and trusted partnerships.

Company size: 501-1,000
Company stage: Not listed
Total funding: Not listed
Headquarters: Colorado, United States
Founded: 2004

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