Senior Technical Project Manager – Ontologist

This is a fully remote position, open to applicants in New York.

📋 Description

• Create scalable functional ontologies that represent essential business concepts and their interrelationships.

• Design and oversee semantic layers by linking ontology concepts to enterprise data sources.

• Facilitate reliable AI solutions by utilizing knowledge graphs, taxonomies, and metadata that support LLMs, RAG, and agent-driven applications.

• Set standards for ontology modeling, including version control, change management, and quality assurance processes.

• Evaluate ontology models produced by other teams.

• Conduct workshops with business units and subject matter experts.

• Document business definitions and rules while resolving any discrepancies in definitions.

• Assist in data governance efforts related to business glossaries, data lineage, classification, access policies, and ITAR/EAR compliance where applicable.

• Assess ontology coverage and adoption, analyzing the impact of the semantic layer on data reuse, consistency, and AI precision.

• Promote stakeholder engagement and alignment across various functions.

• Manage various projects and priorities while adhering to timelines and goals.

• Mentor and support team members and business advocates through coaching, knowledge transfer, and empowerment.

⛳️ Requirements

• A University Degree or equivalent experience with a minimum of 10 years of relevant experience, or an Advanced Degree in a related discipline with at least 7 years of experience.

• At least 5 years of practical experience in ontology engineering, knowledge graphs, or semantic data modeling.

• Proficiency in relational and dimensional data modeling.

• SQL expertise for data profiling and mapping from source systems.

• Ability to convert complex or unclear business terminology into clear, reusable data definitions.

• Strong understanding of RDF, RDFS, OWL, SKOS, SHACL, and SPARQL.

• Experience in aerospace, defense, or intricate manufacturing settings is preferred.

• Familiarity with graph databases and platforms like Kobai, GraphDB, or Amazon Neptune is advantageous.

• Knowledge of semantic layers and metrics stores is preferred.

• Experience utilizing knowledge graphs to inform large language models through GraphRAG, entity linking, or ontology-guided extraction is desirable.

• Python programming skills using tools such as rdflib or owlready2 are preferred.

• Experience in creating and delivering enterprise data products is preferred.

• Proven ability to lead change, influence stakeholders without direct authority, and foster cross-functional team alignment is preferred.

• Experience leveraging data-driven insights to uncover opportunities, assess adoption, and formulate improvement plans is preferred.

• U.S. Person status is required.

• Security clearance is not necessary.

🏝️ Benefits

• Compensation, healthcare, wellness, retirement, and work/life benefits.

• Parental leave, including paternal leave.

• Flexible working schedules.

• Achievement awards.

• Educational assistance.

• Backup care for children and adults.

• Medical, dental, vision, and life insurance.

• Short-term disability coverage.

• Long-term disability coverage.

• 401(k) matching.

• 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.