Principal Industrial AI Data Architect

🕒 October 26

🏈 Ohio – Remote

🏈 Ohio – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 21%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 20 days.
• Jobs at this company usually fill in 56 days.
• Reposted once.
• No salary listed.

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Hexion Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🚘 Automotive

🏗️ Construction

🏭 Manufacturing

Automotive • Construction • Manufacturing

Hexion Inc. is a global leader in resin technologies and chemical solutions. The company specializes in producing specialty chemicals and materials that are utilized across various industries, including construction, automotive, and aerospace. Hexion's commitment to innovation and sustainability positions it as a significant player in the chemical manufacturing sector.

📋 Description

• Design and govern data architecture enabling reliable, scalable AI across industrial environments • Design end-to-end data flows from edge systems through cloud and AI pipelines to edge inference • Define data storage patterns, data movement, and transformation strategies • Ensure support for real-time processing, batch analytics, and model lifecycle integration • Design and govern feature pipelines, storage, and lifecycle for AI model delivery • Define feature engineering pipelines for cloud training and edge inference • Ensure consistency between training datasets and runtime inference data • Prevent feature drift and data mismatch through automated validation • Translate canonical semantic definitions into physical data models, schemas, and pipelines • Ensure data structures conform to enterprise standards and platform contracts • Define data interfaces for internal AI teams and external model providers • Support model versioning, feature compatibility, and performance validation • Design data pipelines and access patterns for multi-tenant environments • Ensure customer data isolation, secure access controls, scalable tenant onboarding, and pipeline reuse • Partner with semantic architecture, edge/OT architecture, platform engineering, and AI/data science teams • Operate as a thought leader and drive adoption of data architecture and AI data practices • Travel to manufacturing sites and partner locations as needed, approximately 10–25%

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or related field • 10+ years of experience in data architecture, industrial data systems, or IoT platforms • Strong experience with time-series data, including historian systems • Strong experience with data pipelines and ETL/ELT • Strong experience with distributed data systems • Understanding of AI/ML data requirements and feature engineering concepts • Strong system design and data modeling skills • Ability to connect business, operational, and AI requirements • High attention to data consistency and integrity • Experience with Industrial IoT or edge-to-cloud platforms preferred • Experience with manufacturing systems and OT/IT integration preferred • Experience with cloud data platforms, AWS preferred • Familiarity with streaming architectures, event-driven systems, and data governance frameworks • At least 18 years of age • Must complete drug testing and background investigation • Must authorize additional periodic background checks as required by CFATS or applicable regulations

🏖️ Benefits

• Tools, training, and opportunities for continuous development • Equal Opportunity, Affirmative Action employer • Offer conditioned upon successful completion of a drug test and background investigation • Periodic background checks as required by CFATS or applicable regulations

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