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Manager Ontology Jobs (NOW HIRING)

SOSi is seeking a Senior Ontology Expert/Project Manager to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that ...

SOSi is seeking a Senior Ontology Expert/Project Manager to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that ...

Ontology versioning and change management * Ensuring the model can be efficiently consumed by dashboards (Power BI), APIs, web UIs, and audit exports Role Descriptions: We are seeking an experienced ...

Proficiency with industry-standard ontology engineering and taxonomy management software (e.g., Protégé, TopBraid Composer, PoolParty ). * Modern Data Frameworks: Clear, practical understanding of ...

Balance timeliness with quality under tight deadlines, managing multiple priorities and partners ... Experience with ontology and taxonomy development process and tools (e.g., Protégé, TopBraid ...

New

Balance timeliness with quality under tight deadlines, managing multiple priorities and partners ... Experience with ontology and taxonomy development process and tools (e.g., Protégé, TopBraid ...

Posted today

Conduct ontology validation, testing, and quality assurance activities to ensure accuracy ... Certified Data Management Professional (CDMP) or equivalent data architecture certification.

Showing results 21-40

Manager Ontology information

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$24.5K

$59.5K

$116K

How much do manager ontology jobs pay per year?

As of Aug 10, 2026, the average yearly pay for manager ontology in the United States is $59,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $68,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Ontology vs Data Manager?

AspectManager OntologyData Manager
CredentialsTypically requires knowledge of ontology modeling, data management, and sometimes certifications in data science or information managementRequires data management certifications (e.g., CDMP), database skills, and often a background in information systems
Work EnvironmentWorks in data modeling, knowledge organization, and semantic structuring within IT or data teamsManages data quality, storage, and governance across organizations, often in IT or data departments
Industry UsageCommon in AI, semantic web, and knowledge management sectorsWidely used in finance, healthcare, and corporate data management

While both roles involve data, a Manager Ontology focuses on structuring and organizing knowledge through ontologies, whereas a Data Manager oversees data quality, storage, and governance. The roles often collaborate but serve different core functions within data management ecosystems.

What skills and qualifications are needed to thrive as a manager ontology?

To thrive as a Manager Ontology, you need a strong background in information science, data modeling, and semantic technologies, often supported by a relevant degree and experience in ontology development. Familiarity with tools like Protégé, OWL/RDF, SPARQL, and knowledge management systems is typically required, along with project management certifications being advantageous. Exceptional problem-solving, leadership, and communication skills help you coordinate teams and translate complex concepts for stakeholders. These skills and qualifications are essential for ensuring data interoperability, organizational knowledge alignment, and the successful implementation of semantic solutions.

What is a manager ontology?

A Manager Ontology is responsible for overseeing the development, implementation, and maintenance of ontologies within an organization. This includes managing a team of ontology specialists, collaborating with stakeholders to understand information needs, and ensuring that data models and taxonomies accurately represent business concepts. The role often involves aligning ontology structures with organizational goals, improving data interoperability, and supporting semantic technologies. Strong communication and analytical skills are essential, as well as expertise in knowledge representation and information architecture.

How does a manager ontology collaborate with cross-functional teams to ensure effective data integration and consistency?

A Manager Ontology works closely with data scientists, software engineers, business analysts, and subject matter experts to develop and maintain semantic models that ensure data consistency across systems. They facilitate regular meetings to align on terminology, data structures, and integration strategies, helping teams resolve ambiguities and bridge knowledge gaps. Effective collaboration enables the organization to leverage shared vocabularies, streamline data flows, and improve the overall quality and accessibility of information assets. This cross-functional teamwork is essential for large-scale data projects, especially in organizations aiming for advanced analytics or AI implementation.
What cities are hiring for Manager Ontology jobs? Cities with the most Manager Ontology job openings:
What are the most commonly searched types of Ontology jobs? The most popular types of Ontology jobs are:
What states have the most Manager Ontology jobs? States with the most job openings for Manager Ontology jobs include:
Infographic showing various Manager Ontology job openings in the United States as of July 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $59,525 per year, or $28.6 per hour.

DoD - Palantir Ontology Engineer - Manager

Montcure, LLC

Washington, DC • On-site

$120K - $150K/yr

Full-time

Re-posted 10 days ago


Job description

Palantir Foundry Ontology Engineer - Manager – Navy Audit Artifact Management


Location: Washington D.C.

Level: Manager

Clearance: Must be able to attain and maintain a minimum DoW Secret clearance

*Candidates must be able to maintain this clearance during their employment with Montcure.


Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today’s rapidly evolving business environment.


Job Summary

The Palantir Foundry Ontology Engineer Manager will support development of a Navy audit artifact management and traceability platform within Palantir Foundry. This role will design and implement ontology-driven data models that link audit artifacts, financial controls, requirements, and audit evidence across enterprise systems within Palantir Foundry to support Navy Financial Management Digital Data Transformation (FMDDT) initiatives, audit readiness, artifact traceability, data governance requirements and ontology modeling to ensure traceability of audit artifacts, enhance financial controls, and improve audit readiness. The position collaborates with Navy FM, audit, and technical stakeholders to translate audit requirements into scalable semantic data structures that support audit readiness, traceability, and analytics.

Key Responsibilities

Platform Development & Ontology Design:

  • Design and configure ontology objects within Palantir Foundry to represent audit artifacts, requirements, controls, and supporting documentation.
  • Define relationships between ontology objects to support artifact traceability across audit lifecycle stages.
  • Develop and maintain data pipelines that ingest and transform financial, logistics, and property data sources into the ontology.
  • Configure object views and operational data structures that enable artifact tracking and lifecycle visibility.
  • Collaborate with data engineers and functional stakeholders to ensure ontology structures support audit workflows and reporting requirements.

Audit & Financial Support:

  • Collaborate with Navy financial management stakeholders to translate audit requirements into ontology structures and data models.
  • Support artifact traceability across audit lifecycle stages to strengthen audit response and reporting.
  • Ensure platform outputs support audit response and financial control validation.

Data Governance & Security:

  • Implement role-based access controls (RBAC) and segregation of duties (SoD).
  • Ensure compliance with DoD security, data governance, and IL4/IL5 requirements.
  • Support governance of audit artifact metadata, lineage tracking, and audit data integrity.

Platform Enablement & Stakeholder Engagement:

  • Develop operational applications, analytic views, and reporting structures within Foundry to support audit lifecycle visibility.
  • Prepare technical documentation and provide platform guidance to functional and technical users.
  • Collaborate with engineers and analysts supporting the platform modernization effort.

Required Qualifications

Education:

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or related field, or equivalent experience.

Experience:

  • 7+ years of enterprise data engineering, analytics development, or data architecture.
  • 2+ years Palantir Foundry experience or experience working with comparable enterprise data platforms.
  • Experience designing or implementing semantic data models, ontologies, or knowledge graph architectures.
  • Experience with Navy FM, FMDDT, or financial system audit readiness initiatives.
  • Experience supporting audit response, financial management analytics, or compliance-driven systems preferred.

Skills:

  • Strong understanding of ontology modeling and semantic data architecture.
  • Experience with data pipelines, data modeling, and transformation workflows.
  • Familiarity with DevSecOps practices and secure cloud environments.
  • Ability to translate business or audit requirements into technical data models.
  • Strong collaboration skills working across technical and functional teams.

Career Level Alignment:

  • Senior Engineer/Architect: 8+ years supporting enterprise data platforms, semantic data modeling, and data architecture initiatives.

Status: Contingency – This work is contingent upon award.

Salary Range: $120-$150k per year


Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.