Senior Consultant, Data Modeling & Ontology
Mclean, VA
- Pay
Pay amount needs review — pay source
Experience or training with SQL or SPARQL. Infinitive is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $90,000 - $154,00.00. Infinitive is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDesign, implement, and govern ontologies and optimized data models tailored to stakeholder needs and enterprise data strategy.
Support data integration initiatives by mapping and aligning disparate data sources to upper-level and domain-specific ontologies.
Collaborate with cross-functional teams—including Technology, Machine Learning, and Product groups—to embed semantic capabilities into enterprise platforms and solutions.
From the employer’s posting
Key Responsibilities: Design, implement, and govern ontologies and optimized data models tailored to stakeholder needs and enterprise data strategy. Support data integration initiatives by mapping and aligning disparate data sources to upper-level and domain-specific ontologies.
Design, implement, and govern ontologies and optimized data models tailored to stakeholder needs and enterprise data strategy. Support data integration initiatives by mapping and aligning disparate data sources to upper-level and domain-specific ontologies. Champion the value of semantic technology, data standardization, and knowledge organization across business and technical stakeholders.
Champion the value of semantic technology, data standardization, and knowledge organization across business and technical stakeholders. Collaborate with cross-functional teams—including Technology, Machine Learning, and Product groups—to embed semantic capabilities into enterprise platforms and solutions. Conduct analysis and implementation of semantic enrichment strategies using ontology modeling tools and methodologies.
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in Information Science, Computer Science, Engineering, Library Science, or Ontology.
- Understanding of controlled vocabularies, thesauri, and ontology development.
- Familiarity with graph databases and technologies.
- Experience with Python or R.
- Familiarity with JSON, OpenAPI/YAML, AVRO.
- Experience working in Agile environments.
Qualification wording
Bachelor’s degree in Information Science, Computer Science, Engineering, Library Science, or Ontology.
Understanding of controlled vocabularies, thesauri, and ontology development.
Familiarity with graph databases and technologies.
Experience with Python or R.
Familiarity with JSON, OpenAPI/YAML, AVRO.
Experience working in Agile environments.
Tools in this posting
- Python
- SQL
- R
- AWS
Source — Tool mentions in context
- Familiarity with graph databases and technologies. - Experience with Python or R. - Familiarity with JSON, OpenAPI/YAML, AVRO.
- Experience or training in ontology and linked data tools (e.g., TopBraid EDG, Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, Data.World). - Experience or training with SQL or SPARQL. Infinitive is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $90,000 - $154,00.00.
- Experience working in Agile environments. - Exposure to cloud platforms such as Amazon Web Services (AWS). - Excellent verbal and written communication skills.
About Infinitive
Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value.
In the employer’s words · Read in context
Job description
About Infinitive:
Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. . We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment.
Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 9 times most recently in 2026. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.”
Job Summary:
This consultant will be responsible for developing, implementing, and governing enterprise ontologies and semantic data models that align with an organization’s broader data strategy. This role involves close collaboration with stakeholders across business units and functions to improve data discoverability, integration, and usability through the application of semantic technologies and structured knowledge frameworks. The consultant will play a key role in advancing data-driven innovation and ensuring consistent, scalable knowledge representation across the enterprise.
Key Responsibilities:
Design, implement, and govern ontologies and optimized data models tailored to stakeholder needs and enterprise data strategy.
Support data integration initiatives by mapping and aligning disparate data sources to upper-level and domain-specific ontologies.
Champion the value of semantic technology, data standardization, and knowledge organization across business and technical stakeholders.
Collaborate with cross-functional teams—including Technology, Machine Learning, and Product groups—to embed semantic capabilities into enterprise platforms and solutions.
Conduct analysis and implementation of semantic enrichment strategies using ontology modeling tools and methodologies.
Monitor industry trends and advancements in ontology development, data modeling practices, and the application of semantic technologies in machine learning.
Ensure adherence to W3C standards, including RDF, RDFS, OWL, SKOS, and SHACL, in all ontology and semantic modeling activities.
Establish and promote internal best practices for ontology lifecycle management, versioning, and semantic modeling processes.
Troubleshoot and test ontology models and semantic systems to validate logic, structure, and performance.
Lead or support special projects and other duties as directed by Product Owners or leadership.
Basic Qualifications:
Bachelor’s degree in Information Science, Computer Science, Engineering, Library Science, or Ontology.
At least 2 years of experience in metadata-related work.
- Minimum 2 years of experience or training with W3C standards and linked data (JSON, XML, RDF, RDFS, OWL, SKOS).
Master’s degree in a related field.
Understanding of controlled vocabularies, thesauri, and ontology development.
Familiarity with graph databases and technologies.
Experience with Python or R.
Familiarity with JSON, OpenAPI/YAML, AVRO.
Experience working in Agile environments.
Exposure to cloud platforms such as Amazon Web Services (AWS).
Excellent verbal and written communication skills.
Strong project management capabilities.
Ability to work independently and collaboratively to meet deadlines.
Experience or training in ontology and linked data tools (e.g., TopBraid EDG, Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, Data.World).
Experience or training with SQL or SPARQL.
Infinitive is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $90,000 - $154,00.00.
Infinitive is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on infinitive.applytojob.com. The employer’s form will show what is required.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Experience or training with SQL or SPARQL. Infinitive is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $90,000 - $154,00.00. Infinitive is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
- Location & working pattern
Mclean, VA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Oct 6, 2026
- Recorded sightings
- 2
- Last seen by us
- Oct 7, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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