Title: Principal Manufacturing & Semantic Architect Location: Remote, OH, US Department: Corporate Job Description: 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. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward. We don’t follow the status quo—we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger. We invest in innovation, sustainability, and continuous development—equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide. Your Future Starts Here. If you’re ready to push limits, reimagine what’s possible, and create the extraordinary, Hexion is where you belong. Anything is possible when you imagine everything. Position Overview 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. This role will establish how manufacturing assets, processes, materials, and data are consistently represented across: - Plant systems (OT) - Enterprise systems (IT) - Cloud platforms - AI/ML models - Customer-facing applications The successful candidate will bring deep expertise in industrial standards (ISA-95 / ISA-88) and translate complex manufacturing environments into scalable, structured data models that enable interoperability, analytics, and AI. Key Responsibilities 1. Define and Govern the Canonical Manufacturing Data Model 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 where applicable) Define core entities including: - Assets, equipment hierarchies, and locations - Materials, batches, and process segments - Operational states, events, and relationships Ensure consistent representation of manufacturing data across all systems. 2. Establish 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 - Integration layers Prevent semantic drift across teams, platforms, and external partners. 3. Define Semantic Meaning and Canonical Structure of AI Features Define the semantic meaning and canonical structure of features used in predictive and optimization models. Establish what each feature represents in the context of manufacturing processes and operational data. - Define feature-level semantic definitions grounded in manufacturing domain knowledge - Ensure alignment between the meaning of training data and real-time operational data at the edge - Collaborate with data science teams to ensure models reflect real-world process behavior Note: The pipelines, storage, and lifecycle that deliver these features to AI models are owned by the Principal Industrial AI Data Architect. 4. Provide Semantic Translation Between OT, IT, and Digital Platforms Serve as the authority on semantic and data model translation between: - Plant floor systems (PLC, DCS, SCADA, historians) - MES and ERP systems - Cloud-based data and application platforms - Ensure data models are both technically robust and operationally practical. Note: Technical connectivity and protocol-level integration with OT systems are owned by the Principal Edge & OT Architect. 5. Support Platform Productization and External Solutions Design semantic models that ensure the data model scales across tenants, including: - Multiple manufacturing sites - Multi-tenant environments - External customer-facing products Ensure extensibility and long-term maintainability of the data model. Note: Data pipeline and access pattern design for multi-tenancy is owned by the Principal Industrial AI Data Architect. 6. Lead Governance and Continuous Evolution Establish versioning and lifecycle management for: - Data models - Schemas - Semantic definitions - Facilitate cross-functional alignment across engineering, operations, and data teams. Serve as the final authority on semantic architecture decisions. 7. Collaborate Across Teams Partner with: - Principal Edge & OT Architect (semantic model enforcement at the edge and OT data normalization) - Principal Industrial AI Data Architect (feature semantics and data pipeline alignment) - Platform Engineering (implementation of semantic standards in cloud services) - Plant Operations and Process Engineering teams (domain validation and real-world grounding) Ensure consistent execution across domains. Key Competencies - Strategic thinking with strong attention to detail - Ability to translate complex systems into structured models - Cross-functional leadership across OT, IT, and digital teams - Strong communication and stakeholder alignment skills - High ownership and accountability for architectural decisions Minimum Qualifications - 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 - Demonstrated expertise in ISA-95 and ISA-88 standards and 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 Preferred Qualifications Experience with: - ISA or similar industry data standards - Industrial IoT platforms or edge-to-cloud architectures - AI/ML applications in manufacturing environments - Cloud platforms (AWS preferred) Familiarity with: - Time-series data and event-driven architectures - Data governance frameworks Leadership Expectations - 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 Work Environment & Travel Travel to manufacturing sites and partner locations as needed (~10–25%). 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.

Role Description ICF’s Digital Modernization and Experience (DMX) Division is seeking an Enterprise Architect with experience in Digital Portfolio Management, Advisory & Governance to support our federal client. The Enterprise Architect is responsible for: - Establishing and managing centralized digital portfolio management and reporting. - Implementing architecture standards, advisory services, governance reviews, and customer experience practices. - Enabling data-driven decisions for investment, consolidation, modernization, and delivery optimization. - Partnering closely with business leaders, enterprise architecture, engineering, delivery teams, and stakeholders. Local candidates may be expected to work at the client site in Rockville, MD, at least 1-2 days per week. Qualifications - Bachelor’s Degree in Computer Science, Information Systems, Engineering or other related scientific/technical discipline. - 10+ years of experience in enterprise architecture, digital portfolio management, technology governance, IT strategy, or digital delivery leadership. - 1+ years of experience with portfolio rationalization, architecture governance, customer engagement, and enterprise delivery standards. - 1+ years of experience referencing architecture, design patterns, cloud technologies, modernization approaches, and customer experience principles. - 1+ years of experience leading cross-functional governance, advisory, and stakeholder engagement activities. - Must be a United States (U.S.) Citizen or Green card holder, and the work MUST BE PERFORMED in the United States (U.S.). - Candidates must be able to obtain and maintain a Public Trust with the government. - Candidate must reside in the U.S., be authorized to work in the U.S., and all work must be performed in the U.S. Requirements - Experience with enterprise architecture and portfolio management platforms such as LeanIX, ServiceNow APM, Ardoq, or similar tools. - Familiarity with Agile, DevSecOps, product delivery, and human-centered design practices. - Strong analytical, communication, facilitation, and executive presentation skills. - Relevant certifications such as TOGAF, SAFe, ITIL, PMP, or cloud certifications preferred. - Strong understanding of system architecture and design principles. - Excellent written and oral communications skills to deliver technical solutions simply and succinctly. - Exceptional problem-solving and critical-thinking abilities. - Excellent communication, presentation, and stakeholder management skills. - In-depth understanding of ServiceNow best practices and industry trends. - Excellent conflict resolution skills to mitigate risks, resolve issues, and ensure timely and accurate delivery. Benefits - Competitive salary based on experience and qualifications. - Comprehensive benefits package. - Opportunities for professional development and growth. - Supportive work environment that promotes diversity and inclusion. Company Description ICF is a global advisory and technology services provider, combining unmatched expertise with cutting-edge technology to help clients solve complex challenges, navigate change, and shape the future.

Role Description ICF’s Digital Modernization and Experience (DMX) Division is seeking an Enterprise Architect with experience in Digital Portfolio Management, Advisory & Governance to support our federal client. The Enterprise Architect is responsible for: - Establishing and managing centralized digital portfolio management and reporting. - Defining architecture standards, advisory services, governance reviews, and customer experience practices. - Enabling data-driven decisions for investment, consolidation, modernization, and delivery optimization. - Partnering closely with business leaders, enterprise architecture, engineering, delivery teams, and stakeholders. Local candidates may be expected to work at the client site in Rockville, MD, at least 1-2 days per week. Key Responsibilities - Digital Portfolio Management and Rationalization: - Establish enterprise digital portfolio management and rationalization. - Improve portfolio data quality, completeness, and usability. - Consolidate and baseline portfolio inventory, ownership, lifecycle status, and dependencies. - Define standardized portfolio data models and rationalization criteria. - Partner with stakeholders to remediate and validate portfolio data. - Document rationalization decisions, business impacts, risks, and recommended next steps. - Standardize Architecture & Delivery: - Drive adoption and consistent use of reference architectures and design patterns. - Baseline, create, and maintain architecture standards and reusable patterns. - Integrate design standards into delivery workflows and governance reviews. - Provide guidance and documentation to encourage adoption. - Measure and refine architecture standard adoption through KPIs and feedback loops. - Advisory & Governance Reviews: - Provide strategic technical advisory services to programs and delivery teams. - Standardize and mature the DSC advisory lifecycle. - Define and track advisory effectiveness metrics. - Implement customer feedback mechanisms to improve advisory services. - Lead governance reviews with direct customer engagement. - Standardize governance findings with actionable recommendations. - Embed follow-up checkpoints into governance and delivery workflows. - Measure and report governance review outcomes and impacts on delivery quality. - Customer Experience, Advocacy & Digital Enablement: - Provide customer-centric support during project kickoffs and rollouts. - Establish customer experience governance and best practices. - Improve consistency and transparency in customer interactions. - Reduce friction in accessing and adopting digital services. - Strengthen adoption and value realization of existing digital capabilities. - Establish clear requirements and user acceptance criteria. - Ensure deliverables meet quality standards and business expectations. - Identify redundant systems and streamline workflows. - Business Product Management: - Ensure customer and program needs are met through continuous engagement. - Provide governance and oversight for roadmap development and delivery execution. - Deliver customer-centric support during kickoffs and transitions. - Identify redundant systems and streamline processes. Qualifications - Bachelor’s Degree in Computer Science, Information Systems, Engineering or related discipline. - 10+ years of experience in enterprise architecture, digital portfolio management, or related fields. - 1+ years of experience with portfolio rationalization and architecture governance. - 1+ years of experience with architecture, design patterns, and customer experience principles. - 1+ years of experience leading cross-functional governance and stakeholder engagement activities. - Must be a U.S. Citizen or Green Card holder. - Must be able to obtain and maintain a Public Trust with the government. Valuable for this Role - Experience with enterprise architecture and portfolio management platforms. - Familiarity with Agile, DevSecOps, and human-centered design practices. - Strong analytical, communication, and executive presentation skills. - Relevant certifications such as TOGAF, SAFe, ITIL, PMP, or cloud certifications preferred. - Strong understanding of system architecture and design principles. - Excellent written and oral communications skills. - Exceptional problem-solving and critical-thinking abilities. - Excellent conflict resolution skills. Pay Range The pay range for this position based on full-time employment is: $144,381.00 - $245,448.00.

• Architect, build and manage end-to-end prototype lifecycle, from conceptual design and lab setup to software configuration, troubleshooting, and final documentation. • Identifies material requirements (hardware, software, supplemental staffing, etc.) • Ensures finalized thin-line prototype are validated by the Solution Architect and Engineering Leads. • Serve as a Kubernetes Subject Matter Expert (SME) providing architectural guidance, technical leadership and best practices to engineering teams. • Collaborate with cybersecurity, infrastructure, networking and development teams to ensure secure and compliant platform operations.