About the role
Company Description
Job Description
We are seeking a Knowledge Engineer to join our Data Product & Operations team. In this role, you will build and maintain taxonomies, controlled vocabularies, and domain ontologies that bring structure to complex defense acquisition data. Working alongside data engineers and data scientists, domain experts, and product teams, you'll create semantic models that provide structured knowledge to AI systems and enable effective search, classification, and analysis across Govini's Ark platform.
This role requires systematic analytical thinking, strong communication skills, and a passion for combining theoretical rigor with practical implementation. The ideal candidate brings hands-on experience in taxonomy and ontology development, along with the ability to guide teams in adopting semantic technologies.This role is a full-time position located out of our office in Pittsburgh, PA.
This role may require up to 10% travel
Scope of Responsibilities
- Build and maintain ontologies, taxonomies, and controlled vocabularies for defense acquisition domains
- Map unstructured data to structured semantic models that integrate with Ark's data infrastructure
- Establish metadata standards and modeling guidelines in collaboration with data engineering and data science teams
- Partner with product and domain experts to translate business requirements into semantic solutions
- Document semantic models and provide guidance to support team adoption and effective use
- Help drive organization-wide understanding and adoption of semantic technologies and best practices.
- Track adoption and measure impact, continuously refining models, tools, and practices
Qualifications
- U.S. Citizenship is required
- Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field
- 3+ years of experience developing ontologies, taxonomies, or knowledge graphs
- Hands-on experience with ontology editors (e.g., Protégé, TopBraid) and graph databases (e.g., Neo4j, RDF stores)
- Working knowledge of semantic web standards (OWL, RDF, SKOS, SPARQL)
- Proven ability to collaborate with technical and non-technical stakeholders to translate requirements into semantic models
- Understanding of how AI/ML and generative AI systems leverage structured knowledge and ontologies
- Active U.S. security clearance or ability to obtain one
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Master’s degree in Data Science, Computer Science, Information Systems, or a related field
- Familiarity with defense acquisition data and processes
- Experience with data modeling, schema design, or metadata management
Aplyr's read
Govini leverages data analytics to empower government agencies, attracting professionals passionate about technology and public service.
What's promising
- •Govini provides critical data-driven insights to government agencies, enhancing decision-making processes.
- •The company is at the forefront of integrating AI into government technology solutions.
- •Govini's focus on public sector clients ensures stable demand and project continuity.
What to watch
- •High reliance on government contracts can lead to revenue fluctuations due to policy changes.
- •Navigating complex government procurement processes can delay project timelines.
- •Intense competition in the government tech space pressures Govini to continuously innovate.
Why Govini
- •Govini specializes in data analytics specifically tailored for government needs.
- •The company offers a unique blend of technology and public sector expertise.
- •Govini's solutions are designed to address specific challenges faced by defense and space agencies.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Govini
Govini is a data analytics company that provides insights and analytics to government agencies and contractors, helping them make data-driven decisions.