Senior Technical Project Manager – Ontologist

Job not on LinkedIn

🔥 3 hours ago

🗽 New York – Remote

🗽 New York – Remote

💵 $132.4k - $251.6k / year

⏰ Full Time

🟠 Senior

🤓 Technical Project Manager

👻 Ghost score 0%

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RTX

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2020

🏭 Manufacturing

💼 Consulting

📦 Logistics

Manufacturing • Consulting • Logistics

RTX is a globally recognized aerospace and defense company dedicated to transformative technologies and era-defining innovation. It operates through various businesses, including Collins Aerospace, Pratt & Whitney, and Raytheon, with a focus on sustainable, connected flight and smarter defense systems. RTX is committed to diversity, equity, and inclusion across the company and aims to solve the world’s most complex problems with cutting-edge technology and talent. Additionally, RTX is involved in significant projects like upgrading the F135 Engine Core and developing missile-defense systems. The company emphasizes corporate responsibility and sustainable practices.

📋 Description

• 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

• 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

• 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

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