Senior Technical Project Manager/Ontologist

RTX; New York (NY); Hybrid; USD 132,000 - 252,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Life Insurance

Disability Insurance

401(k) match

Flexible work schedules

Job summary

RTX is seeking a Technical Business Analyst, Ontology & Semantic Data Modeling, to design scalable ontologies and semantic layers that enable enterprise analytics and AI initiatives. You will build knowledge graphs, map concepts to sources like SAP and Snowflake, and establish modeling standards across Finance, Supply Chain, Risk, and HR.

You will collaborate with ontologists, data engineers, and business SMEs to drive governance, adoption, and trusted data solutions that empower decision-making

Qualifications

• University degree or equivalent; 10+ years of relevant experience, or an advanced degree with 7+ years.
• top-tier ontological design and data modeling experience required.
• Strong SQL skills for data profiling and mapping source data.
• Ability to translate complex business terminology into precise, reusable data definitions.

Responsibilities

• Design scalable ontologies modeling core business concepts (parts, programs, suppliers, contracts, assets, employees, cost centers).
• Develop semantic layers mapping ontology concepts to SAP, Databricks, Snowflake, ERP, PLM, MES, HR, and Finance systems.
• Create knowledge graphs, taxonomies, and metadata to support LLMs, RAG, and agent-based apps.
• Set ontology standards: naming conventions, version control, change management, quality checks.
• Collaborate with business functions to capture definitions and resolve conflicting terms.
• Support data governance with glossaries, data lineage, and access policies; address ITAR/EAR requirements.
• Measure ontology coverage and adoption; drive AI accuracy and data reuse.
• Lead change across cross-functional teams and ensure timely delivery.
• Coach and enable team members and business champions.

Skills

Ontology engineering

Knowledge graphs

Semantic data modeling

SQL

Python

Graph databases

Data governance

Stakeholder engagement

Education

University Degree

Advanced Degree

Tools

Kobay

GraphDB

Amazon Neptune

dbt Semantic Layer

Snowflake semantic views

Databricks Unity Catalog

Job description

About RTX

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market-leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.

Position Overview

As a Technical Business Analyst, Ontology & Semantic Data Modeling, you will help establish the foundation for enterprise analytics, automation, and AI by designing scalable domain ontologies and semantic layers that provide shared, trusted meaning across RTX corporate functions. Reporting to the Associate Director of Data and AI, you will leverage enterprise systems and business knowledge to connect data across multiple functions, enabling employees and AI systems to discover, understand, and consistently interpret enterprise data. You will collaborate with ontologists, data engineers, data stewards, AI teams, and functional experts across Finance, Supply Chain, Risk, Business Solutions, and HR to develop trusted data solutions that support enterprise decision-making and AI initiatives.

What You Will Do

• Design scalable functional ontologies that model core business concepts, including parts, programs, suppliers, contracts, assets, employees, and cost centers, along with their relationships, properties, and business rules.
• Develop and maintain semantic layers by mapping ontology concepts to enterprise source systems, including SAP, Databricks, Snowflake, ERP, PLM, MES, HR, and Finance platforms.
• Enable trusted AI solutions by developing knowledge graphs, taxonomies, and metadata that support large language models (LLMs), retrieval-augmented generation (RAG), and agent-based applications.
• Establish ontology modeling standards, including naming conventions, version control, change management, and quality checks, while reviewing models developed by other teams.
• Partner with business functions and subject matter experts to facilitate workshops, capture business definitions and rules, and resolve conflicting definitions across functional organizations.
• Support enterprise data governance initiatives by partnering with data stewards on business glossaries, data lineage, classification, and access policies, including export-controlled data requirements such as ITAR/EAR where applicable.
• Measure ontology coverage and adoption, evaluating how semantic layers improve data reuse, consistency, and AI accuracy.
• Drive change and adoption by influencing stakeholders, building cross-functional alignment, and helping business teams understand the value of enterprise ontology and semantic data solutions.
• Manage multiple initiatives and priorities while ensuring disciplined execution, effective communication, and delivery against established timelines and objectives.
• Develop and support team members and business champions through coaching, knowledge sharing, and enablement activities.

Qualifications

You Must Have

• Typically requires a 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.
• A minimum of 5 years of hands‑on experience in ontology engineering, knowledge graphs, or semantic data modeling.
• Experience with relational and dimensional data modeling, including SQL skills for profiling and mapping source data.
• Experience translating complex or ambiguous business terminology into precise, reusable data definitions.

We Prefer

• Master of Science degree in Analytics.
• Strong communication skills, with the ability to effectively communicate with technical and non‑technical audiences and facilitate workshops with subject matter experts.
• Strong knowledge of semantic web standards, including RDF, RDFS, OWL, SKOS, SHACL, and SPARQL.
• Experience in aerospace, defense, or complex manufacturing environments, particularly with product structures, bills of materials, configuration management, or supply chain data.
• Hands‑on experience with graph databases and platforms such as Kobay, GraphDB, or Amazon Neptune.
• Experience with semantic layers and metrics stores, including dbt Semantic Layer, AtScale, Databricks Unity Catalog metrics, or Snowflake semantic views.
• Experience using knowledge graphs to ground large language models through GraphRAG, entity linking, or ontology‑guided extraction.
• Python programming experience for automating ontology pipelines using tools such as rdflib or owlready2.
• Experience creating and delivering enterprise data products.
• Demonstrated ability to lead change, influence stakeholders without direct authority, and build alignment across cross‑functional teams.
• Experience using data‑driven insights to identify opportunities, measure adoption, and develop improvement plans.

Requirements

• U.S. Citizen, U.S. Person, or Immigration Status Requirements: This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons. For a complete definition of “U.S. Person” go here. https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62
• Security Clearance Type: None/Not Required
• Security Clearance Status: Not Required

Salary

The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.

Benefits

• Medical
• Dental
• Vision
• Life insurance
• Short‑term disability
• Long‑term disability
• 401(k) match
• Flexible spending accounts
• Flexible work schedules
• Employee assistance program
• Employee Scholar Program
• Parental leave
• Paid time off
• Holidays
• Annual short‑term incentive compensation programs
• Annual long‑term incentive compensation programs
• Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.

Work Location

This position is remote.

Equal Opportunity & Inclusive Hiring

RTX 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, age, disability or veteran status, or any other applicable state or federal protected class.

RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy & Terms

Privacy Policy and Terms: Click on this link to read the Policy and Terms

Company Overview

RTX is an aerospace and defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry‑leading businesses – Collins Aerospace, Pratt & Whitney, and Raytheon. Its 195,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, Virginia.