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Principal Data & Ontology Architect - AI

$80k - $120k
Full-time

American Honda Motor Co., Inc.

Salary: $80,000 - 120,000 per year Requirements:

  • We require a bachelors degree or diploma in Computer Science, Data Science or Engineering, Applied Mathematics or Statistics, Electronics or Electrical, Information Technology or Information Sciences, or a related discipline.
  • We require at least 10 years of combined experience, depending on education, in data architecture, data governance, ontology development, semantic modeling, or similar fields supporting cross-functional programs across multiple business units and IT organizations.
  • We need deep expertise in ontology design, semantic modeling, and domain-driven data architecture.
  • We look for experience developing and implementing data and ontology strategies.
  • We require proven ability to act as a bridge between business stakeholders and IT teams.
  • We need strong capability to translate technical platforms, workflows, and constraints into business-friendly guidance.
  • We look for experience enabling and educating data stewards and establishing durable governance workflows.
  • We need the ability to influence senior technical and business stakeholders without direct authority.
  • We value sound judgment in balancing immediate delivery needs with long-term semantic and architectural sustainability.
  • We look for a systems-thinking mindset with understanding of AI, analytics, and enterprise data platforms.
  • We need comfort working in ambiguous, evolving environments with enterprise-wide impact.
  • Preferred experience includes OWL, RDF/RDFS, graph databases such as Neo4j and Amazon Neptune, Palantir Ontology, and SPARQL for RDF-based ontologies.
Responsibilities:
  • We support the implementation and ongoing adoption of data and ontology enablement practices and standards within Control Tower Operations.
  • We act as the primary connection between Business Units, Global IT, and Control Tower Operations.
  • We translate Global IT standards and operating models into repeatable guidance for Business Units and data stewards.
  • We represent business domain needs back to IT to help shape platform and process improvements.
  • We support enterprise ontology strategy, including semantic modeling, domain alignment, concept reuse, and lifecycle management.
  • We serve as a subject-matter authority on ontology topics for governance and leadership forums.
  • We collaborate with Global IT and enterprise data architecture to align ontology practices with enterprise platforms and Control Tower processes.
  • We partner with Business Units to understand domain concepts, terminology, operational data, and AI use cases, then translate them into ontology-aligned data structures.
  • We guide Business Units in contributing domain models, metadata, and data assets into the enterprise ontology through defined governance and intake processes.
  • We enable repeatable onboarding of Business Unit data into AI initiatives and reduce ad hoc IT involvement.
  • We provide input on prioritizing ontology enhancements based on business goals, AI roadmap needs, and enterprise value.
  • We liaise between Business Units and Global IT on AI data and ontology matters.
  • We educate and support Business Unit data stewards on governance, ontology contribution, and AI data enablement.
  • We help document workflows, expectations, and operating models for engagement with the Control Tower and Global IT.
  • We ensure Business Unit Data Stewards know how to prepare, govern, and submit data assets for ontology integration and AI use.
  • We promote consistent adoption of governance, quality, and semantic standards across Business Units.
  • We support the integration of data and ontology enablement into Control Tower workflows.
  • We provide operational insight into data readiness, semantic risks, and governance gaps to support Control Tower decisions.
  • We identify systemic issues and recommend continuous improvements to data enablement processes.
  • We help teams improve understanding and use of data in AI processes.
  • We ensure semantic integrity, data quality, lineage, and consistency as data assets flow into AI solutions.
  • We influence corrective actions, tooling investments, and governance updates to reduce long-term risk.
Technologies:
  • AI
  • Flow
  • Support
  • Neo4J
  • RDF
  • Architect
  • Web

More:

We are Honda, and we are focused on innovation, future mobility, and a zero environmental footprint. We are seeking individuals with diverse backgrounds, continuous improvement values, and a strong work ethic to help us bring the future. This role is based onsite at our Honda office in Marysville, Ohio, with one telecommuting day per week possible subject to prior departmental approval. We offer competitive compensation, paid overtime, a regional bonus where applicable, industry-leading medical, dental, vision, and prescription coverage, paid time off including vacation, holidays, and shutdown, company-paid short- and long-term disability, a 401(k) plan with company match and additional contribution, and relocation assistance if eligible. We also provide career growth opportunities, career mobility, education reimbursement, training and development programs, tuition assistance, student loan repayment, a lifestyle account, childcare reimbursement, elder care support, a wellbeing program, community service and engagement programs, and product programs. We are an equal opportunity employer and consider qualified applicants without regard to protected characteristics.

last updated 36 week of 2026

Vacancy posted 2 days ago
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