Job ID: 11476
Marysville, Ohio, 43040
1st Shift
$152,900.00 - $191,100.00
What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it’s a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”
We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.
If your goals and values align with Honda’s, we want you to join our team to Bring the Future!
Job Purpose
- The AI Data & Ontology Enablement Lead will support the implementation and adoption of data and ontology enablement practices and standards within Control Tower Operations to support scalable, governed, and business-aligned AI initiatives.
- Will serve as the primary bridge between Business Units, Global IT, and Control Tower Operations
- This role ensures shared understanding of data practices, workflows, and requirements by helping to translate established Global IT standards and operating models into repeatable guidance for Business Units and data stewards, while representing business domain needs back to IT.
- Through data steward education, workflow establishment, and close alignment with Control Tower governance processes, this role prevents fragmented, one-off data requests and ensures AI initiatives are supported by trusted data, shared meaning, and sustainable enterprise operations.
Key Accountabilities
- Support the implementation and ongoing maintenance of ontology enablement practices and operating model strategy to support AI, analytics, and digital initiatives across multiple Business Units
- Apply established standards for semantic modeling, domain alignment, concept reuse, and ontology lifecycle management.
- Serve as the enterprise subject-matter authority for ontology-related topics, providing recommendations and guidance to governance and leadership forums.
- Collaborate with Global IT and enterprise data architecture, to help ensure ontology practices align with enterprise data platforms and Control Tower operational processes.
- Partner with Business Units to understand domain concepts, terminology, operational data, and AI use cases, translating them into ontology-aligned data structures