Semantic Modeler

Responsibilities

Lead semantic modeling for complex client projects from start to finish
Drive use case development, conducting discovery sessions to identify key model entities to inform initial model drafting
Conduct knowledge asset analysis activities (such as corpus analysis) to gauge model relevancy
Lead validation activities to engage project stakeholders and client subject matter experts (SMEs)
Work closely with engineering teams (internal and/or client-side) to support and ensure optimal model implementation
Develop governance plans to inform the ongoing maintenance and scaling of semantic models
Contribute to EK’s robust Knowledge Base by developing thoughtful and impactful Thought Leadership

Requirements

The candidate must have an active Top Secret SCI clearance
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
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

• Familiarity with and proven successful experience in the majority, if not all, of the following areas: Previous semantic modeling experience (which may include the development of metadata, taxonomies/ thesauri, content models, data models, and/or ontologies) for enterprise-scale applications
  Proven success applying information architecture best practices
  Familiarity with best practices in knowledge management
  Proven experience analyzing, evaluating, and optimizing enterprise search
  Ability to communicate advanced concepts to a variety of audiences in a variety of formats, from interpersonal communication to visual modes, including lightweight wireframes
  Willingness and ability to develop new skills, especially ontology and knowledge graph development

Preferred Skills And Qualifications

• Knowledge of best practices and approaches for search analytics
  Application of user testing/ user research to inform UI/UX strategy
  Strong data modeling skills
  Advanced visual design skills to convey complex subjects
  Experience developing and deploying an auto-tagging initiative to support asset findability and discoverability
  Experience leveraging Generative AI to support semantic model development and evaluation while retaining explainability

Pay

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.

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 careers@enterprise-knowledge.com.