Senior Technical Project Manager – Ontologist

RTX

. Design scalable functional ontologies modeling core business concepts and relationships .

Posted 11/9/2026full-timeRemote • New York • United StatesSenior💰 $132,400 - $251,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in ontology engineering and semantic data modeling, with a strong focus on developing scalable functional ontologies and knowledge graphs to support AI solutions. Proven ability to facilitate cross-functional collaboration and drive stakeholder alignment while managing multiple initiatives.

Highest-signal resume keywords

Ontology EngineeringKnowledge GraphsSemantic Data ModelingSQL SkillsRDF, RDFS, OWL, SKOS, SHACL, SPARQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Ontology ModelingData GovernanceRelational Data ModelingDimensional Data ModelingGraph DatabasesPython ProgrammingData ProfilingChange ManagementQuality ChecksData Definitions

Soft Skills

Stakeholder InfluenceCross-Functional AlignmentCoachingKnowledge SharingFacilitation

Tools & Technologies

KobaiGraphDBAmazon NeptuneRdflibOwlready2

Industry Keywords

AerospaceDefenseComplex ManufacturingITAREAR

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Design scalable functional ontologies modeling core business concepts and relationships
Develop and maintain semantic layers by mapping ontology concepts to enterprise source systems
Enable trusted AI solutions through knowledge graphs, taxonomies, and metadata supporting LLMs, RAG, and agent-based applications
Establish ontology modeling standards, version control, change management, and quality checks
Review ontology models developed by other teams
Facilitate workshops with business functions and subject matter experts
Capture business definitions and rules and resolve conflicting definitions
Support data governance initiatives involving business glossaries, data lineage, classification, access policies, and ITAR/EAR requirements where applicable
Measure ontology coverage and adoption and evaluate semantic-layer impact on data reuse, consistency, and AI accuracy
Drive stakeholder change and adoption and build cross-functional alignment
Manage multiple initiatives and priorities against timelines and objectives
Develop and support team members and business champions through coaching, knowledge sharing, and enablement

Requirements

What you’ll need

University Degree or equivalent experience and a minimum of 10 years of prior relevant experience, or an Advanced Degree in a related field and a minimum of 7 years of experience
Minimum of 5 years of hands-on experience in ontology engineering, knowledge graphs, or semantic data modeling
Experience with relational and dimensional data modeling
SQL skills for profiling and mapping source data
Experience translating complex or ambiguous business terminology into precise, reusable data definitions
Strong knowledge of RDF, RDFS, OWL, SKOS, SHACL, and SPARQL
Experience in aerospace, defense, or complex manufacturing environments preferred
Experience with graph databases and platforms such as Kobai, GraphDB, or Amazon Neptune preferred
Experience with semantic layers and metrics stores preferred
Experience using knowledge graphs to ground large language models through GraphRAG, entity linking, or ontology-guided extraction preferred
Python programming experience using tools such as rdflib or owlready2 preferred
Experience creating and delivering enterprise data products preferred
Demonstrated ability to lead change, influence stakeholders without direct authority, and build alignment across cross-functional teams preferred
Experience using data-driven insights to identify opportunities, measure adoption, and develop improvement plans preferred
U.S. Person status required
Security clearance is not required

Benefits

Comp & perks

Compensation, healthcare, wellness, retirement and work/life benefits
Parental (including paternal) leave
Flexible work schedules
Achievement awards
Educational assistance
Child/adult backup care
Medical, dental, vision, life insurance
Short-term disability
Long-term disability
401(k) match
Flexible spending accounts
Employee assistance program
Employee Scholar Program
Paid time off
Holidays
Annual short-term and/or long-term incentive compensation programs, subject to eligibility and not guaranteed