[Hiring] Principal Industrial AI Data Architect @Hexion

Role Description

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.

Job Responsibilities

• Define Industrial Data Architecture for AI
  • Design end-to-end data flows from:
    • Edge systems → cloud → AI pipelines → edge inference
  • Define:
    • Data storage patterns (time-series, relational, event-based)
    • Data movement and transformation strategies
  • Ensure architecture supports:
    • Real-time processing
    • Batch analytics
    • Model lifecycle integration
• 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.
  • Define feature engineering pipelines for both training (cloud) and inference (edge) environments
  • Ensure consistency between training datasets and runtime inference data
  • Prevent feature drift and data mismatch through automated validation
• Integrate Semantic Model with Data Pipelines
  • Translate canonical semantic definitions into:
    • Physical data models
    • Schemas
    • Pipelines
  • Ensure all data structures conform to:
    • Enterprise standards
    • Platform contracts
• Enable Scalable AI Model Integration
  • Define data interfaces required by:
    • Internal AI teams
    • External model providers
  • Support:
    • Model versioning
    • Feature compatibility
    • Performance validation
• Design for Multi-Tenant and Product Use Cases
  • Ensure data pipelines and access patterns support multi-tenant environments, including:
    • Customer data isolation and secure access controls
    • Scalable onboarding of new tenants and use cases
    • Reuse of data pipelines across customers and deployments
  • Note: The underlying data model for multi-tenancy is governed by the Principal Manufacturing & Semantic Architect.
• Collaborate Across Teams
  • Partner with:
    • Principal Manufacturing & Semantic Architect (canonical model definition and feature semantics)
    • Principal Edge & OT Architect (edge data ingestion and inference data requirements)
    • Platform Engineering (implementation and infrastructure)
    • AI/Data Science teams (model requirements and validation)
  • Ensure consistent execution across domains.

Qualifications

• 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

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%).

Preferred Qualifications

• Experience with:
  • Industrial IoT or edge-to-cloud platforms
  • Manufacturing systems (OT + IT integration)
  • Cloud data platforms (AWS preferred)
• Familiarity with:
  • Streaming architectures
  • Event-driven systems
  • Data governance frameworks

Other

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.