Position Overview

This is a US Remote position.

Hexion is a global leader in specialty chemicals, delivering innovative solutions that improve performance, sustainability, and operational excellence across industries. As part of Hexion's digital transformation strategy, we are building a next-generation industrial edge-to-cloud platform that integrates operational technology (OT), industrial data, advanced analytics, AI, and digital twin technologies to drive manufacturing performance and create scalable customer-facing solutions.

We are seeking a Principal Manufacturing IOT & OT Security Architect to establish the security architecture and governance framework that enables industrial AI and analytics while protecting critical manufacturing operations.

The Principal Manufacturing IOT & OT Security Architect is responsible for defining and governing the secure integration of industrial control systems, edge computing, cloud platforms, digital twins, and AI-driven applications across Hexion's manufacturing environments.

This role serves as the primary authority for industrial cybersecurity architecture and will ensure that all digital manufacturing initiatives align with:

• Purdue Enterprise Reference Architecture
• IEC 62443 Industrial Security Standards
• NIST Cybersecurity Framework
• NIST SP 800-82 Industrial Control Systems Guidance
• Corporate security policies and regulatory requirements

The successful candidate will establish secure patterns for moving operational data from manufacturing environments into cloud platforms while enabling advanced analytics, machine learning, digital twins, and future autonomous operations.

This role requires balancing security, operational reliability, and business innovation while maintaining the integrity and availability of critical manufacturing systems.

Job Responsibilities

Industrial Security Architecture Leadership

• Define and govern enterprise-wide industrial security architecture standards
• Establish secure edge-to-cloud connectivity patterns
• Develop reference architectures for industrial AI, digital twins, and advanced analytics
• Define approved deployment patterns for manufacturing environments
• Serve as the primary architectural authority for OT cybersecurity initiatives

Purdue Model & Industrial Network Architecture

• Design and govern solutions across Purdue Levels 0 through 5
• Define segmentation and trust boundaries between:
• • Control Systems
  • Manufacturing Operations
  • Industrial DMZ
  • Enterprise Networks
  • Cloud Platforms

• Establish secure communication paths between operational and enterprise environments
• Develop strategies for secure remote access and vendor connectivity

Secure Industrial Data & AI Architecture

• Define approved architectures for:

• • Industrial data collection
  • Historian integration
  • Industrial IoT
  • Edge analytics
  • AI model deployment
  • Digital twin environments

• Ensure operational data can be securely leveraged for:

• • Predictive maintenance
  • Process optimization
  • Reliability engineering
  • Advanced analytics

• Establish governance for AI deployment within manufacturing environments

Competencies

Edge Computing & Industrial IoT Security

• Define secure deployment patterns for:
  • AWS IoT Greengrass
  • IoT SiteWise
  • IoT TwinMaker
  • Edge gateways
  • Industrial data brokers
• Establish device identity and certificate management standards
• Define secure software deployment and update mechanisms for edge environments
• Ensure secure operation during network interruptions and disconnected operations

Security Governance & Compliance

• Establish cybersecurity controls aligned with:
  • IEC 62443
  • NIST CSF
  • NIST SP 800-82
  • Corporate standards
• Conduct architectural security reviews for digital manufacturing initiatives
• Define risk assessment methodologies for industrial systems
• Partner with Corporate Cybersecurity teams to ensure alignment between IT and OT security programs

Platform & Product Security

• Define security architecture for multi-tenant industrial software platforms
• Establish customer data isolation requirements
• Define identity and access management strategies
• Establish customer-managed key and encryption architectures
• Define audit logging and compliance requirements for industrial SaaS solutions

Cross-Functional Leadership

Partner closely with:

• Principal Manufacturing & Semantic Architect
• Principal Industrial AI Data Architect
• Principal Edge & OT Architect
• Platform Engineering Teams
• Manufacturing Operations
• Reliability Engineering
• Corporate Cybersecurity
• External Customers and Partners

Minimum Qualifications

• Bachelor's degree in Engineering, Computer Science, Cybersecurity, Information Systems, or related discipline; Associate's Degree with experience in process manufacturing will be considered
• 7+ years of experience in:
  • Industrial Control Systems
  • Operational Technology
  • Industrial Cybersecurity
  • Manufacturing Architecture

• Deep expertise in:
• Purdue Enterprise Reference Architecture
• Industrial Network Segmentation
• IEC 62443
• NIST Cybersecurity Framework
• NIST SP 800-82

• Experience with:
  • PLCs
  • DCS platforms
  • SCADA systems
  • Industrial Historians
  • Manufacturing Execution Systems

• Experience designing secure architectures for:
• • Industrial IoT
  • Edge Computing
  • Cloud Integration
  • Digital Manufacturing Platforms

Preferred Qualifications

• Experience with:
  • AWS IoT Greengrass
  • Industrial Digital Twin platforms

• Familiarity with:
  • ISA-95
  • ISA-88
  • CFIHOS
  • Industrial AI and Machine Learning deployments

• Relevant certifications such as:
  • GICSP
  • CISSP
  • ISA/IEC 62443 Cybersecurity Expert
  • AWS Security Specialty

Leadership Experience

• • Operate as the enterprise authority for industrial security architecture
  • Influence organizational strategy without direct authority
  • Balance innovation and risk management
  • Drive adoption of secure-by-design principles across all digital manufacturing initiatives
  • Establish reusable security patterns that accelerate deployment while maintaining compliance

Success Measures

• Success in this role will be measured by:
• Adoption of standardized edge-to-cloud security patterns
• Compliance with industrial cybersecurity frameworks
• Reduction of cybersecurity risk across manufacturing environments
• Secure enablement of industrial AI and analytics initiatives
• Successful deployment of scalable digital manufacturing platforms
• Elimination of ad hoc OT-to-cloud integrations

Other