Senior Technical Project Manager/Ontologist

Pratt & Whitney; Stati Uniti; Remoto; USD 132.000 - 252.000; Tempo pieno

Vantaggi offerti da questo lavoro

Healthcare and wellness benefits

Retirement plan

Flexible work schedules

Educational assistance

Parental leave

Descrizione del lavoro

RTX is seeking a Technical Business Analyst, Ontology & Semantic Data Modeling, to design enterprise ontologies and semantic layers that enable analytics and AI across Finance, Supply Chain, Risk, HR and more.

You will develop knowledge graphs, taxonomies, and metadata enabling LLMs, RAG, and agent-based applications while aligning with governance, change management, and data lineage requirements.

Competenze

• University Degree or equivalent in a relevant field; ten years of experience or an advanced degree with seven years.
• Minimum of 5 years hands-on ontology engineering, knowledge graphs, or semantic data modeling.
• Experience with relational and dimensional data modeling; SQL skills for profiling/data mapping.
• Ability to translate complex business terms into precise data definitions.

Mansioni

• Design scalable ontologies modeling core business concepts and their relationships.
• Develop semantic layers by mapping concepts to SAP, Databricks, Snowflake, ERP, PLM, MES, HR, Finance systems.
• Create knowledge graphs and metadata to support LLMs, RAG, and agent apps.
• Establish ontology standards, naming, version control, and quality checks.

Conoscenze

Ontology engineering

Knowledge graphs

Semantic data modeling

SQL

Python

Formazione

University Degree or equivalent

Advanced Degree in a related field

Strumenti

SAP

Databricks

Snowflake

ERP

PLM

MES

Descrizione del lavoro

Date Posted: 2026-11-09

Country: United States of America

Location: US-NY-REMOTE

Position Role Type: Remote

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

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. Join us and help shape the future of aerospace and defense.

The following position is to join our RTX Corporate, Enterprise Services Data organization:

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.

Qualifications 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 Kobai, 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.

What We Offer

Whether you're just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.

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.Hired applicants may be eligible for benefits, including but not limited to, 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, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. 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.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

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.