Hexion Inc.

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

Architect

• 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

Principal Manufacturing – Semantic Architect

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.

Lead Data Scientist

DevOps Engineer

• Ensure safe, reliable, and cost-effective operation of all plant assets
• Oversee maintenance execution, reliability engineering, asset strategy, and long-term equipment health
• Drive a proactive reliability culture
• Develop maintenance systems and partner closely with Operations, Engineering, and EHS
• Manage maintenance execution, preventive maintenance (PM), and corrective maintenance activities
• Ensure compliance with OSHA, PSM, environmental, and corporate safety standards
• Administer maintenance budgeting activities, spare parts optimization, and contractor performance
• Administer and enhance the plant reliability program, including PM optimization and condition monitoring
• Apply reliability methodologies such as RCM, FMEA, and RCA
• Develop and maintain asset strategies for rotating equipment, fixed equipment, instrumentation, and electrical systems
• Ensure compliance with PSM Mechanical Integrity requirements
• Administer inspection programs and maintain accurate equipment records
• Drive improvements in equipment uptime and maintenance productivity
• Partner with Operations to prioritize maintenance activities and support production objectives

Maintenance & Reliability Engineer

• 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

Principal Industrial AI Data Architect

Compliance

• Support the management of global product and substance regulatory information.
• Author, review, and maintain Safety Data Sheets (SDS) and labels in compliance with global regulations (e.g., GHS).
• Classify dangerous goods per international regulations and ensure accurate shipping, labeling, and documentation.
• Support global regulatory approvals for products and raw materials, including REACH and TSCA compliance activities.
• Conduct hazard assessments and monitor regulatory changes, performing impact analyses to support compliance actions.
• Maintain accurate regulatory data in systems (e.g., SAP EHS) and drive process improvements.
• Partner with internal teams to implement regulatory requirements, support audits, deliver training, and ensure ongoing compliance.

Regulatory Compliance Specialist

Machine Learning Engineer

• Develop and implement algorithms for real-time decision-making and optimization
• Translate research prototypes and experiments into clean, maintainable, and testable production code
• Collaborate with data scientists to evaluate model performance, run experiments, and tune parameters
• Build and maintain modular, scalable components that integrate with our existing recommendation engine
• Work with product and data teams to understand user needs and data constraints

ML Engineer

Data Analyst

• Analyze large-scale sensor, production, and system data to identify patterns, trends, and anomalies
• Define, track, and interpret KPIs related to system performance, model behavior, and business outcomes
• Support model development by exploring data, validating assumptions, and generating insights
• Build dashboards and reports to monitor real-time system behavior and long-term trends
• Investigate issues in production systems and perform root cause analysis
• Work closely with data scientists, engineers, and product stakeholders to translate data into decisions
• Ensure data quality, consistency, and reliability across different sources
• Communicate findings clearly to both technical and non-technical audiences

Engineer

• Directly supports the Process Controls Manager and the process controls Group developing and improving performance of control processes and technologies.
• Provides direction for the group and works with the process controls leader to develop new applications and tools.
• Understanding of the design for HMI and controls platforms, interfacing with the highest levels of tech support.
• Develop instruction code for both Allen Bradley PLC and Emerson Delta V networks.
• Develop programs to handle project implementations across multiple remote sites.
• Investigate new technologies for instruments and programming, develop testing protocols, and validate the viability of new tested technologies.
• Good knowledge of designing and evaluating networking issues at both the IT business and the IOT level.
• Self-directed individual capable of working with remote sites and a matrix environment.

Senior Process Controls Engineer

Sales

• Operationalize Commercial Strategy
• Translate commercial and pricing strategies into scalable processes, workflows, and system capabilities that enable consistent execution.
• Partner with pricing, sales, and finance leaders to ensure strategies are embedded into day-to-day commercial operations.
• Own the commercial tool ecosystem (e.g., Pricefx, MS Dynamics) from a business perspective, ensuring alignment with commercial priorities and field execution needs.
• Drive enhancements that improve usability, effectiveness, and alignment with sales processes.
• Identify opportunities to better leverage tools and data to improve pricing execution, pipeline management, and customer engagement.
• Partner with commercial stakeholders to define requirements and convert them into practical, scalable solutions.
• Serve as the primary business interface to technical teams, ensuring delivery aligns with commercial priorities without overcomplicating solutions.
• Ensure tools and processes are embedded in daily workflows and consistently used across the commercial organization.
• Define and enforce standards for data quality, system usage, and process consistency across commercial platforms.
• Monitor adoption, data health, and process adherence, addressing gaps proactively.
• Drive standardization and scalability of tools and processes across regions and business units.

Sales Excellence Leader

• Provide expertise in Process Engineering in Resin Production and process capacity.
• Consult and provide technical recommendations in the design of chemical processes with a focus on safety and efficiency in design.
• Provides technical solutions to problems found at existing locations based upon full understanding of the products being made and the process capabilities at the site.
• Advising a project team of potential design or scope changes and the impact/benefit on the process.
• Leveraging product understanding and process capabilities to work and advise contracted engineering groups on new process design to ensure the best possible design for any new process.
• Checking calculations to advise on adherence to codes, specifications, design criteria and overall RAGAGEP (Recognized And Generally Accepted Good Engineering Practices) adherence.
• Collaborate on the development of a business case for any new product/process development.
• Investigate and provide written technical guidance on deviations from expected production within Hexion’s chemical processes.
• Capable of organizing and leading new commissioning efforts including the closure of PSSR action items and following the MOC process.
• Capable of establishing good communication channels with operation and provide education and training to upskill operation.