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The Principal Industrial AI Data Architect is responsible for designing and governing the data architecture that enables reliable, scalable AI across industrial environments.
This role ensures that:
Data pipelines are aligned with the canonical semantic model
Features used in AI models are consistent across training and runtime
Industrial data is structured for real-time inference and long-term analytics
This role is the bridge between data, semantics, and AI execution.
1. Define Industrial Data Architecture for AI
Design end-to-end data flows from:
Edge systems → cloud → AI pipelines → edge inference
Define:
Ensure architecture supports:
2. Design Feature Pipelines and Delivery for AI Models
Design and govern the pipelines, storage, and lifecycle that build and deliver features to AI models, based on canonical definitions established by the Principal Manufacturing & Semantic Architect.
3. Integrate Semantic Model with Data Pipelines
Translate canonical semantic definitions into:
Ensure all data structures conform to:
4. Enable Scalable AI Model Integration
Define data interfaces required by:
Support:
5. Design for Multi-Tenant and Product Use Cases
Ensure data pipelines and access patterns support multi-tenant environments, including:
Note: The underlying data model for multi-tenancy is governed by the Principal Manufacturing & Semantic Architect.
6. Collaborate Across Teams
Partner with:
Ensure consistent execution across domains.
Strong system design and data modeling skills
Ability to connect business, operational, and AI requirements
High attention to data consistency and integrity
Cross-functional collaboration
Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred)
10+ years of experience in data architecture, industrial data systems, or IoT platforms
Strong experience with time-series data (e.g., historian systems), data pipelines, and ETL/ELT
Strong experience with distributed data systems
Understanding of AI/ML data requirements and feature engineering concepts
Experience with:
Familiarity with:
Leadership Expectations
Operate as a thought leader in industrial data architecture and AI data strategy
Influence without direct authority across multiple teams and partners
Drive standards adoption for data pipelines and AI data practices across internal and external stakeholders
Balance long-term architectural vision with near-term delivery needs
Work Environment & Travel
Travel to manufacturing sites and partner locations as needed (~10–25%).
One-Line Summary
Design the data architecture that ensures AI models operate correctly, consistently, and at scale across industrial environments.
We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law.
To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.

Based in Columbus, Ohio, Hexion Inc. is a leading global producer of adhesives and performance materials. Hexion provides specialty products and technical support for customers in a diverse range of applications and industries, such as construction, furniture, energy and automotive. Building on over a century of experience, Hexion is working to preserve the Earth’s natural resources, meet the needs of growing populations and respond to a changing climate. Learn more about Hexion and its commitment to sustainability at www.hexion.com.