Hexion Inc.

• Own the roadmap for Smartech AI's platform layer • Drive adoption through SDKs and documentation • Lead delivery with ML and engineering • Embed model governance for plant-critical use

• Designing, implementing, and continuously improving Hexion's information security compliance and enterprise risk management programs • Own Hexion's ISO 27001 Information Security Management System (ISMS) and related cloud-specific extensions • Lead Hexion's SOC 2 compliance program • Operationalize the CIS Controls as the enterprise's security baseline framework • Maintain fluency in NIST 800-53 and apply it to enterprise risk governance • Own the internal controls assurance program

• Develop and manage a structured, content roadmap aligned with brand positioning and long-term growth priorities. • Ensure messaging consistency while enabling vertical-specific differentiation. • Partner with business units and sales to translate commercial priorities into compelling content across formats, including website pages, event materials, sales decks, brochures, and case studies. • Build unique and engaging authority-building assets that strengthen Hexion’s credibility and support downstream demand generation efforts. • Own the content on Hexion’s website and overall performance in collaboration with the wider marketing team. • Manage publishing workflows, UX coordination, content audits, and ongoing optimization. • Lead SEO/ AEO strategy across the website, including keyword planning, on-page optimization, and content structuring to improve organic visibility and search rankings. • Monitor website performance using GA4 and related tools. • Develop dashboards and insights that inform content strategy, user experience improvements, and digital investment decisions. • Uphold Hexion’s overall brand standards across digital channels. • Establish content guidelines, tone-of-voice frameworks, and digital governance processes. • Own the relationship with the web design and development agency to ensure performance, quality, and alignment with brand standards.

• Translate growth strategy into integrated campaigns across LinkedIn, email, events, landing pages, webinars, and CRM • Own campaign planning, execution, performance tracking, and pipeline attribution • Contribute to overall Hexion growth strategy by identifying new customer acquisition channels and optimization • Build segmented nurture campaigns and automated workflows to drive engagement and conversion • Work with Marketing Excellence team to execute conferences and tradeshows • Develop and manage LinkedIn and paid media ad campaigns in partnership with external agency • Build and optimize campaign landing pages in collaboration with Content Strategist • Partner with design and social media manager for organic LinkedIn content

• Establish the security architecture and governance framework for industrial AI and analytics • Define and govern enterprise-wide industrial security architecture standards • Develop strategies for secure remote access and vendor connectivity • Define approved architectures for industrial data collection and AI model deployment • Ensure operational data can be securely leveraged for predictive maintenance and advanced analytics

• Serve as the engineering lead for Agentic AI delivery across Supply Planning and Manufacturing — owning the design, development, and deployment of production-grade AI agent solutions. • Architect and build multi-agent AI systems using Azure AI Agent Service, AutoGen, Semantic Kernel, and/or LangChain/LangGraph — including orchestrator-executor patterns, tool calling, memory management, and agent coordination. • Implement the MCP to surface enterprise data as structured context for AI agents operating in supply chain and manufacturing workflows. • Build and deploy generative AI solutions on Azure AI Foundry — RAG-based knowledge agents, decision support for forecasting and capacity planning, and document intelligence for maintenance work orders and recipes. • Design and deliver AI copilots and topic-based agents using Microsoft Copilot Studio — enabling Supply Planning and Manufacturing teams to access insights and take action directly from Teams and Outlook. • Act as the AI delivery owner for agentic use cases — scoping business problems with stakeholders, defining agent capabilities and tool surfaces, prioritizing the roadmap, and driving adoption. • Apply emerging agentic AI patterns — including ReAct, Plan-and-Execute, reflection, and human-in-the-loop — for supply chain and operational use cases. • Partner with Supply Chain leadership, Demand Planning, Process Engineering, Maintenance Ops, and Plant teams to identify, scope, and deliver AI use cases that influence operational decisions. • Define and maintain AI agent governance — prompt versioning, tool auditing, evaluation frameworks, observability, and safety guardrails for production deployments. • Develop on Azure Databricks — PySpark and SQL against gold/platinum Delta tables, notebooks for transformation and feature work, and orchestration via Workflows. • Build and maintain Power BI reports and semantic models that serve as grounding data for AI agents and executive dashboards across Supply Planning and Manufacturing. • Own Supply Chain AI metrics alignment cadence — keeping priorities, status, and roadblocks visible to Supply Chain and Manufacturing leadership. • Mentor analysts and engineers on agentic AI design patterns, MCP, and AI delivery best practices.

• Define and govern the canonical manufacturing data model • Develop and maintain a standardized semantic model • Establish semantic standards and data contracts • Define semantic meaning and canonical structure of AI features • Provide semantic translation between OT, IT, and digital platforms • Support platform productization and external solutions • Lead governance and continuous evolution • Collaborate across teams

• Lead complex data science and machine learning initiatives supporting supply chain, manufacturing operations, capacity planning, demand forecasting, and operational decision-making • Design, develop, and own advanced ML solutions — including predictive models, time-series forecasting, optimization, and decision-support systems • Build, train, evaluate, and interpret machine learning models to quantify supply chain drivers, surface optimization opportunities, and improve operational outcomes • Develop and operationalize analytics and ML solutions using Databricks for large-scale data processing, model development, and experimentation • Design and build multi-agent AI systems using frameworks such as Azure AI Foundry, AutoGen, Semantic Kernel, or LangChain/LangGraph • Implement and extend solutions using the MCP • Apply data science best practices including feature engineering, model validation, performance monitoring, reproducibility, and documentation • Partner with Supply Chain & Procurement leadership, Manufacturing Ops, Process Engineering, Demand Planning, and IT • Develop and maintain self-service, automated, and AI-enabled analytics workflows • Leverage Azure AI Foundry, Microsoft Copilot Studio, and Microsoft 365 Copilot extensibility to prototype and deploy AI-powered analytics tools • Produce executive-ready insights through clear storytelling using Power BI or embedded analytics • Set technical direction, establish reusable ML and AI frameworks, and mentor junior and mid-level data scientists.

• Define Industrial Data Architecture for AI • Design end-to-end data flows from: Edge systems → cloud → AI pipelines → edge inference • Design Feature Pipelines and Delivery for AI Models • Integrate Semantic Model with Data Pipelines • Enable Scalable AI Model Integration • Design for Multi-Tenant and Product Use Cases

• Lead procurement activities for logistics solutions supporting 13 manufacturing plants across the United States and Canada • Manage more than $110M in annual logistics spend across multiple transportation and storage modes including: Bulk truck, Full truckload (FTL), Less-than-truckload (LTL), Rail, Tank storage, Warehousing, Barge transportation • Develop and execute sourcing and category strategies that align with business objectives and operational requirements • Lead negotiations for logistics and transportation contracts, including pricing, commercial terms, and service agreements to ensure: Security of supply Cost competitiveness Service reliability Working capital optimization Compliance with business requirements • Establish and execute strategic RFP and supplier negotiation plans • Monitor logistics market trends, carrier capacity, pricing dynamics, and industry developments to advise business leadership and proactively manage risk • Lead and develop a team of logistics procurement professionals responsible for all transportation and logistics modes • Provide coaching, mentorship, and performance management to support employee development and organizational capability • Foster a culture of accountability, collaboration, continuous improvement, and operational excellence • Support talent development and succession planning within the procurement organization • Lead major logistics and costing model initiatives supporting commercial and supply chain business requests • Support network optimization and strategic logistics infrastructure evaluations • Lead quarterly business reviews and annual logistics strategy development processes • Partner closely with Commercial, Supply Chain, Operations, Finance, and Global Procurement teams to support new business opportunities, customer requirements, and raw material sourcing strategies • Participate in monthly S&OP supply review meetings and support integrated supply chain planning processes • Represent senior leadership at supplier, carrier, and manufacturing site meetings • Collaborate with global procurement teams to identify opportunities for contract value creation and supply chain optimization