Hexion Inc.

General

• Providing comprehensive EHS services including conducting EHS audits and inspections
• Developing and implementing EHS management systems
• Providing EHS training for employees
• Monitoring and reporting on EHS performance
• Managing hazardous materials and waste
• Ensuring compliance with local, provincial, and federal EHS regulations
• Conducting regular risk assessments and hazard analyses
• Preparing and submitting environmental reports
• Leading investigations into accidents, near misses, and unsafe conditions
• Developing and delivering training programs
• Creating and testing emergency response plans
• Performing routine inspections of equipment, storage areas, and work practices

EHS Specialist

Procurement

• Lead sourcing events (RFQs/RFPs) for assigned direct material categories
• Analyze spend and market conditions to identify cost reduction and value optimization opportunities
• Negotiate pricing, commercial terms, and contracts aligned to total cost of ownership
• Execute sourcing activities in alignment with Hexion’s Strategic Sourcing Process (SSP)
• Build and manage supplier relationships, including onboarding, performance management, and issue resolution
• Monitor supplier performance against key metrics, including delivery, service, and cost adherence
• Ensure consistent contract coverage and preferred supplier utilization
• Track and evaluate market dynamics and key cost drivers impacting assigned materials
• Partner cross-functionally with Commercial, Operations, Supply Chain, Quality, Finance, and Legal to align sourcing strategies
• Identify and implement process improvements to enhance sourcing efficiency and effectiveness
• Ensure sourcing decisions meet safety, regulatory, and contractual requirements

Strategic Sourcing Specialist

Compliance

• 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

Compliance and Risk Manager

Supervisor

• Promote and enforce safe work practices and Hexion safety standards.
• Support Process Safety Management (PSM) and Mechanical Integrity (MI) programs.
• Lead daily maintenance activities and coordinate maintenance resources.
• Ensure maintenance work is properly planned, prioritized, scheduled, executed, and closed in SAP.
• Manage maintenance backlog and schedule adherence.
• Drive pump reliability, lubrication, vibration analysis, infrared inspections, and other predictive maintenance initiatives.
• Support inspection programs, pressure vessel compliance, fire protection systems, interlock testing, and regulatory requirements.
• Provide leadership, coaching, and accountability for maintenance personnel.

Maintenance Supervisor

Technician

• Perform all functions associated with loading outbound shipments and offloading inbound shipments as assigned.
• Attend all required safety training.
• Follow all SOP’s and PPE requirements.
• Unload raw materials – bulk liquids, dry van.
• Maintain strainers, clean and replace strainer bags as required.
• Load outbound tank trucks, sample, seal if necessary.
• Stock supplies at scale houses.
• Properly dispose of resin solids accumulated from strainer cleaning as needed.
• Maintain high housekeeping standards at all loading stations and in all work areas.
• Perform real-time data entry into SAP and AutoBOL, sign out drivers, supply placards as required, prepare shipping document packets for drivers.

Shipping Technician

• Responsible for the safe, reliable, and efficient operation of reactor and associated equipment.
• Ensure all Hexion safety practices and policies are followed during regular operations, unit maintenance and operational outages.
• Participate in safety audits, training, inspections, incident investigations and PSM/PHA activities.
• Demonstrate a working knowledge of site air, water and discharge permits.
• Perform real time data entry using MES, SAP, Microsoft Outlook, Word, Excel, etc as needed.
• Sample raw materials, in-process, and finished product.
• Load finished product onto tank trucks following all Hexion policies and SOP’s.
• Offload raw materials from tank trucks to raw material storage following all Hexion policies and SOP’s.
• Perform minor unit maintenance under qualified supervision.
• Clean and maintain equipment per guidelines.

Resin Technician

Research Scientist

• Lead ML model development for prediction and optimization across chemistry, formulation, property, and process
• Collaborate with R&D and manufacturing on problem framing
• Curate and analyze chemical and experimental data
• Develop and select input representations for raw materials, chemistry, and signal data
• Select, train, and evaluate models across families such as regression, tree ensembles, Gaussian processes, neural networks
• Quantify and calibrate model performance and uncertainty

Applied ML Scientist – Chemistry

• Lead the design and execution of optimization and active-learning campaigns across chemistry, formulation, and process development
• Collaborate with R&D and manufacturing on framing optimization problems
• Design and coordinate sequential experiment campaigns using Bayesian optimization
• Drive closed-loop optimization that connects surrogate models to experimentation
• Partner with ML engineers, software engineers, and process engineers to deploy and monitor optimization systems
• Communicate methods, results, and their limitations clearly

Applied ML Scientist – Active Learning

• Lead laboratory research on pMDI resin systems, including neat resin, aqueous suspensions, emulsions, and related binder technologies for wood composite applications such as OSB, MDF, particleboard, and adjacent materials.
• Design and execute experiments that link formulation, processing, and substrate variables to adhesive performance, including moisture, press time, resin loading, viscosity, emulsion stability, penetration behavior, and wood-furnish characteristics.
• Integrate artificial intelligence, machine learning, and advanced analytics with laboratory research to generate predictive models that optimize bond performance, process efficiency, raw-material usage, and total cost in wood-mill operations.
• Develop structure-property-process understanding for pMDI systems using analytical, thermal, rheological, microscopy, and mechanical testing methods.
• Interpret laboratory and pilot data to define performance windows, identify root causes, and uncover opportunities for product and process optimization.
• Translate research findings into practical recommendations for scale-up, plant trials, manufacturing implementation, and customer-facing technical support.
• Partner cross-functionally with R&D, process engineering, manufacturing, commercial teams, and external stakeholders to align innovation priorities with business strategy and mill-performance goals.

Financial Planning and Analysis

• Deploy AI-enabled finance solutions — automating recurring analysis, accelerating close cycles, improving forecast accuracy, and unlocking new analytical depth that wasn’t feasible before.
• Own the lifecycle — from identifying a high-value use cases, to prototyping with modern AI tools, to validating outputs and shipping a reliable, repeatable workflow.
• Champion AI best practices across Finance — prompt and agent design, model validation, data quality, and responsible, auditable AI use.
• Continuously expand the toolkit by replacing manual, error-prone processes with smarter, faster, more scalable approaches — and measuring the impact.
• Turn messy, large-scale datasets into insights using AI tools (Microsoft Cowork, Copilot Studio) building dashboards and pipelines that the business can trust.
• Translate analytical output into clear narratives — what changed, why it changed, and what we should do about it.
• Apply your solutions to real financial problems — profitability analysis across products, customers, and regions; scenario planning; and forecasting that stress-tests pricing, volume, and raw material assumptions.
• Partner with commercial teams (Sales, Marketing, Product Management) to translate financial and analytical signals into pricing, mix, and go-to-market actions.
• Drive consensus across functions when the data points to a tough call, bringing stakeholders along with rigor and clarity.

Senior Financial Analyst

Performance Marketing

• 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

Senior Growth Campaign Manager

Content Manager

• 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.

Senior Content Strategist

Data Engineer

• 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

Data Engineer, P5

AI Engineer

• 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.

Lead Agentic AI Engineer

Data Scientist

• 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.