Principal Data and Ontology Architect - AI Enablement

We are seeking a Principal Data and Ontology Architect - AI Enablement 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.

Key responsibilities include:

• Developing and implementing ontology enablement practices and operating model strategy to support AI, analytics, and digital initiatives across multiple Business Units
• 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
• Providing input on prioritization of ontology enhancements based on organizational goals, AI roadmap needs, and enterprise value
• Serving as a liaison between Business Units and Global IT for AI data and ontology-related matters
• Translating Global IT practices, requirements, and workflows into clear, actionable guidance for Business Unit data stewards
• Representing Business Unit data and ontology needs back to Global IT to inform platform evolution, tooling, and process improvements
• Preventing fragmented, one-by-one data requests by establishing shared understanding and standardized engagement models
• 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
• Assisting teams in improving understanding and utilization of data in AI 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