Description
We are looking for a Principal Data & Ontology Architect to 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.
The successful candidate will serve as the primary bridge between Business Units, Global IT, and Control Tower Operations, ensuring shared understanding of data practices, workflows, and requirements. They will apply established standards for semantic modeling, domain alignment, concept reuse, and ontology lifecycle management.
Key responsibilities include:
- Supporting the implementation and ongoing maintenance of ontology enablement practices and operating model strategy to support AI, analytics, and digital initiatives across multiple Business Units
- Applying established standards for semantic modeling, domain alignment, concept reuse, and ontology lifecycle management
- Serving as the enterprise subject-matter authority for ontology-related topics, providing recommendations and guidance to governance and leadership forums
- Collaborating with Global IT and enterprise data architecture to ensure ontology practices align with enterprise data platforms and Control Tower operational processes
- Partnering with Business Units to understand domain concepts, terminology, operational data, and AI use cases, translating them into ontology-aligned data structures
- Guiding Business Units in contributing domain models, metadata, and data assets into the enterprise ontology using defined governance and intake processes
- Enabling repeatable onboarding of Business Unit data into AI initiatives, reducing reliance on ad-hoc IT engagement and minimizing duplicated effort
- Serving as a liaison between Business Units and Global IT for AI data and ontology-related matters
- Engaging with Global IT teams to understand enterprise data platforms, workflows, standards, and operational constraints
- Translating Global IT practices, requirements, and workflows into clear, actionable guidance for Business Unit data stewards
- Educating, guiding, and supporting Business Unit data stewards on their roles in data governance, ontology contribution, and AI data enablement
- Supporting the development and documentation of workflows, expectations, and operating models for how BU data stewards engage with the Control Tower and Global IT
- Ensuring Business Unit Data Stewards understand how to prepare, govern, and submit data assets for ontology integration and AI use
- Promoting consistent adoption of governance, quality, and semantic standards across Business Units
- Supporting integration of data and ontology enablement into Control Tower workflows
- Providing operational insight into data readiness, semantic risks, and governance gaps to inform Control Tower decision-making
- Identifying systemic issues and contributing recommendations to drive continuous improvement of data enablement processes
- Ensuring semantic integrity, data quality, lineage, and consistency are maintained as data assets flow into AI solutions
- Identifying systemic issues and recommending continuous improvement opportunities to Control Tower Operations leadership
- Influencing corrective actions, tooling investments, or governance updates to mitigate long-term risk
This role requires a minimum of 10 years of relevant work experience in data architecture, data governance, ontology development, semantic modeling, or related disciplines, supporting cross-functional initiatives spanning multiple business units and IT organizations.
The ideal candidate will have in-depth expertise in ontology design, semantic modeling, and domain-driven data architecture, as well as experience contributing to the development and implementation of data and ontology strategies. They will also have demonstrated experience serving as a bridge between business stakeholders and IT organizations, with a strong ability to translate technical platforms, workflows, and constraints into business-understandable guidance.
A Bachelor's level degree or diploma in Computer Science, Data Science/Engineering, Applied Mathematics/Statistics, Electronics/Electrical, Information Technology/Information Sciences, or a related field of study is required. A Master's or Ph.D. degree is preferred.
The successful candidate will be comfortable operating in ambiguous, evolving environments with enterprise-level impact, and will have a systems-thinking mindset with understanding of AI, analytics, and enterprise data platforms.
Highly desirable skills include proficiency in OWL (Web Ontology Language), RDF/RDFS – graph-based data model, storage in graph databases such as Neo4j or Amazon Neptune, and querying using SPARQL for RDF-based ontologies.
This is an onsite job based at our ADC, Raymond, OH office. One telecommuting workday per week may be possible with prior departmental approval.