Director, AI & Automation Leader

Hexion Careers

About The Position

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.Role Mission Lead Hexion’s enterprise Agentic AI and automation strategy—architecting and scaling agentic AI capabilities, identifying automation opportunities across all business functions, championing AI fluency and a learning culture, and overseeing the execution and KPI governance of automation initiatives to deliver measurable business value across the organization.Job Responsibilities

Requirements

Deep expertise in agentic AI architecture, multi-agent orchestration frameworks (LangGraph, CrewAI, AutoGen), and LLM-based enterprise application development.
Comprehensive knowledge of enterprise automation ecosystems: RPA, low-code/no-code, intelligent process automation (IPA), and AI workflow platforms.
Strong command of AI governance, responsible AI frameworks, and enterprise risk management for AI systems.
Familiarity with chemical/process industry operations—R&D, manufacturing, supply chain, commercial—and associated automation use cases.
Proficiency with cloud-native AI platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI) and integration patterns (APIs, microservices).
Strong data fluency: analytics pipelines, MLOps, RAG architectures, and AI system performance monitoring.
Financial literacy: ROI modeling, business case development, and value tracking for technology investments.
Proven track record delivering enterprise-scale digital transformation with quantifiable, measurable outcomes.
Exceptional stakeholder influence, executive communication, and cross-functional leadership skills.
10–15 years of progressive experience in AI/ML, intelligent automation, and digital transformation, including 5+ years in automation leadership roles.
Proven delivery of large-scale automation programs with quantifiable value (cost reduction, capacity creation, cycle time improvement).
Track record leading enterprise AI adoption across multiple business functions in complex, global organizations.
Hands-on background with agentic AI systems, automation platforms, and enterprise technology architecture.

Nice To Haves

Experience in chemical, industrial manufacturing, or process industries strongly preferred.

Responsibilities

Define and drive Hexion’s enterprise agentic AI and automation technology strategy, roadmap, and governance framework.
Systematically identify, prioritize, and pipeline automation opportunities across all functions (R&D, Manufacturing, Supply Chain,Finance, Commercial, HR).
Serve as the enterprise Subject Matter Expert (SME) for agentic AI, process automation, and intelligent workflow platforms.
Design and deploy a citizen development and automation enablement program; build internal AI fluency and capability at scale.
Lead and govern end-to-end execution of automation initiatives—from ideation through deployment and value realization.
Define, track, and report automation KPIs (cycle time reduction, cost savings, FTE capacity freed, adoption rates); course-correct asneeded.
Partner with IT, Transformation Office, and Business Units to integrate agentic AI into existing platforms and digital architecture.
Build and operationalize responsible AI governance: guardrails, ethics frameworks, risk management, and regulatory compliance.
Establish and lead an Automation Center of Excellence (CoE) and communities of practice across the enterprise.
Build, mentor, and grow a high-performing interdisciplinary AI and automation team.
Champion a culture of continuous innovation, experimentation, and data-driven decision-making.