Principal Manufacturing & Semantic Architect

Company Overview

Imagine Everything. Build the Future with Hexion. At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress—developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future. This is where bold thinkers, problem‑solvers, and innovators come together to shape what’s next.

The Principal Manufacturing & Semantic Architect is a critical leadership role responsible for defining and governing the canonical data and semantic model that underpins Hexion's industrial digital platform.

• Define and govern the Canonical Manufacturing Data Model across plant systems (OT), enterprise systems (IT), cloud platforms, AI/ML models, and customer‑facing applications.
• Develop and maintain a Standardized Semantic Model aligned with
  • ISA‑95 (enterprise‑control integration)
  • ISA‑88 (batch/process control)
  • Emerging industry standards (e.g., CFIHOS)
• Define Core Entities: assets, equipment hierarchies, locations, materials, batches, and process segments; operational states, events, and relationships.
• Ensure consistent representation of manufacturing data across all systems by establishing Semantic Standards and Data Contracts.
• Define and enforce data schemas, API and event contracts, naming conventions, and units of measure.
• Partner with Engineering Teams to ensure adherence across edge systems, cloud services, and integration layers, preventing semantic drift.
• Define Semantic Meaning and Canonical Structure of AI Features, collaborating with data science teams to align training data with real‑time operational data.
• Provide Semantic Translation between OT, IT, and digital platforms, translating data models between plant floor systems, MES & ERP systems, and cloud‑based platforms.
• Support Platform Productization and External Solutions by designing semantic models that scale across tenants, multiple manufacturing sites, and multi‑tenant environments.
• Lead Governance and Continuous Evolution by establishing versioning and lifecycle management for data models, schemas, and semantic definitions, and facilitating cross‑functional alignment.
• Collaborate Across Teams:
  Principal Edge & OT Architect, Principal Industrial AI Data Architect, Platform Engineering, Plant Operations, and Process Engineering.

• Bachelor’s degree in Engineering, Computer Science, Industrial Engineering, or related field (Master’s preferred).
• 10+ years of experience in manufacturing systems, industrial automation, or process engineering.
• 10+ years of experience in data modeling or system architecture in industrial environments.
• Expertise in ISA‑95 and ISA‑88 standards, manufacturing data structures and hierarchies.
• Strong understanding of OT systems (PLC, DCS, SCADA, historians).
• Strong understanding of MES and ERP integration patterns.
• Experience with relational and/or graph‑based data modeling.

• Experience with ISA or similar industry data standards.
• Experience with industrial IoT platforms or edge‑to‑cloud architectures.
• Experience with AI/ML applications in manufacturing environments.
• Experience with cloud platforms (AWS preferred).

• Time‑series data and event‑driven architectures.
• Data governance frameworks.

• Operate as a thought leader in industrial data and semantic architecture.
• Influence without direct authority across multiple teams and partners.
• Drive standards adoption across internal and external stakeholders.
• Balance long‑term architectural vision with near‑term delivery needs.

Travel to manufacturing sites and partner locations as needed (~10–25%).

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.