Enterprise Knowledge (EK) is hiring for a full-time Semantic Modeler to join our growing Knowledge and Data Services Sector. In this role, you will be responsible for supporting semantic model development for client projects across the full model development spectrum, from initial use case development and discovery, through model drafting, validation, and implementation, to developing a governance plan for ongoing model improvement. You’ll work with cleared federal agencies to develop strategies, guide implementation, and apply agile principles to translate business needs into clear, actionable plans.
As with all of our positions, we seek independent thinkers with exceptional written and oral communication skills. This position demands a deep understanding of business strategy and development, experience with knowledge & data management technology solutions, business analysis, and consulting skills.
Responsibilities
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Lead semantic modeling for complex client projects from start to finish
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Drive use case development, conducting discovery sessions to identify key model entities to inform initial model drafting
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Conduct knowledge asset analysis activities (such as corpus analysis) to gauge model relevancy
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Lead validation activities to engage project stakeholders and client subject matter experts (SMEs)
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Work closely with engineering teams (internal and/or client-side) to support and ensure optimal model implementation
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Develop governance plans to inform the ongoing maintenance and scaling of semantic models
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Additionally, contribute to EK’s robust Knowledge Base by developing thoughtful and impactful Thought Leadership
As an EK team member, you will join a fast-growing company that is committed to equity and inclusion, have the opportunity to work in a collaborative workplace, take advantage of our unique benefits, and help build our innovative culture. To read more about the impactful work we are doing and to see the latest thought leadership from EK, follow us on LinkedIn.
Requirements
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The candidate must have an active Top Secret SCI clearance
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At a minimum, candidates must have 6-8 years of relevant work experience (which may include time spent earning relevant advanced degrees)
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This hybrid role requires that you live within a comfortable, commutable distance of our Arlington, VA office and be willing to work in a SKIFF up to 5 days per week
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As a federal contractor, Enterprise Knowledge will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1, and O-1, or any EADs or other forms of work authorization that require immigration support from an employer
Required Skills and Qualifications:
In order to be successful in this role, you will need to have familiarity with and proven successful experience in the majority, if not all, of the following areas:
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Previous semantic modeling experience (which may include the development of metadata, taxonomies/ thesauri, content models, data models, and/or ontologies) for enterprise-scale applications
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Proven success applying information architecture best practices
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Familiarity with best practices in knowledge management
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Proven experience analyzing, evaluating, and optimizing enterprise search
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Ability to communicate advanced concepts to a variety of audiences in a variety of formats, from interpersonal communication to visual modes, including lightweight wireframes
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Willingness and ability to develop new skills, especially ontology and knowledge graph development
While prior experience developing ontology models and knowledge graphs is not required, you will be expected to complete advanced modeling training in-house to develop these skills and develop a proficiency in these areas in a timely manner.
Preferred Skills and Qualifications:
The ideal candidate will also demonstrate a range of the following skills:
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Knowledge of best practices and approaches for search analytics
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Application of user testing/ user research to inform UI/UX strategy
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Strong data modeling skills
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Advanced visual design skills to convey complex subjects
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Experience developing and deploying an auto-tagging initiative to support asset findability and discoverability
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Experience leveraging Generative AI to support semantic model development and evaluation while retaining explainability
While not required, the following will be viewed as highly beneficial for this role:
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Advanced degree(s) in Information Science/ Library and Information Science, Engineering/Data Management, Data Engineering, Linguistics, Philosophy, or similar.
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Content modeling experience
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Work experience in archives, records management, special collections, or similar
Salary Information:
EK considers a broad range of factors in considering employee salary including a candidate’s skills, experience, education, certifications, past successes, and qualifications. A range for a starting pay for this role is $120,000 to $135,000 with most candidates likely to fall in the lower half. This range does not guarantee a specific salary and may be adjusted based on the needs of the company and the candidate’s qualifications.
Data Privacy Notice:
Enterprise Knowledge (EK) is committed to protecting your personal information. When you submit your application, we collect and process your personal data solely for recruitment and hiring purposes. We will not use your information for any other purpose without your explicit consent.
We may share your information with third parties only as necessary to evaluate your application or comply with legal requirements. If we need to use your data for a purpose beyond the original intent or disclose it to additional third parties, we will provide you with prior notice.
You have the right to access the personal information we hold about you and to request corrections, amendments, or deletion of any inaccurate data or data processed in violation of applicable privacy principles. Requests for such changes will be reviewed and accommodated unless the burden or expense of providing access would be disproportionate to the risks to your privacy, or where the rights of other individuals may be affected.
By submitting your application, you acknowledge that you have read and understood this notice. If you have any questions about how we handle your personal data or need to update your information, please contact us at [email protected]
