Senior Product Manager, AI - Supply Chain & Procurement - US Remote
Hexion Inc.About the role
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.
Role Mission
Own the end-to-end AI product strategy and delivery for Hexion’s Supply Chain and Procurement functions, turning operational data into competitive advantage. Define, prioritize, and drive the AI use caseroadmap across planning, logistics, procurement, and supplier management — from AI-driven spend intelligence and supplier risk sensing to Digital Bulk predictive delivery and SC Command Centerorchestration.
This role sits at the heart of Hexion’s supply chain andprocurement transformation. Owning six procurement AI initiativesand the SC Command Center, the Senior PM will turn operationaldata into durable cost advantage, resilience, and serviceexcellence
Job Responsibilities
- Own and sequence the AI product roadmap across Procurement (Spend Intelligence, Contract Intelligence, Category Strategy Copilot, Guided Sourcing, Intake-to-Procure Orchestration, Supplier Risk Sensing) and
- Supply Chain (Digital Fulfillment, Command Center, demand sensing, logistics optimization).
- Serve as business owner for each AI initiative from discovery through deployment and adoption — writing requirements, running sprint reviews, managing go/no-go decisions, and tracking value realization for each use case.
- Lead buy/build/co-develop decisions for SC & Procurement AI: evaluate vendors (GEP, Coupa, Icertis, Keelvar, Resilinc, Everstream, Zip) against internal build options with clear total cost-of-ownership and capability analysis.
- Embed AI into SAP S/4HANA, APO, and TMS workflows; partner with IT and data engineering to connect AI outputs to procurement and logistics execution systems with reliable, auditable data pipelines.
- Build AI fluency and drive adoption across Supply Chain and Procurement teams — training playbooks, communities of practice, and reinforcement mechanisms so planners, buyers, and logistics managers act on AI-assisted insights.
- Champion responsible AI governance: ensure demand sensing, pricing, supplier risk, and logistics models are explainable and auditable; maintain KPI dashboards and report value realization to executive sponsor
Knowledge, Skills, Attributes and Experience (KSAEs)
- 7+ years in product management, supply chain, or procurement; 3+ yearsleading AI/analytics products in B2B industrial or manufacturing settings.
- Strong grasp of supply chain planning and procurement, including demandsensing, S&OP, inventory, logistics, sourcing, contracting, and suppliermanagement.
- Able to convert business workflows into AI product requirements, including userstories, MVP scope, acceptance criteria, and KPI frameworks tied to value.
- Familiar with AI/ML in supply chain and procurement, including forecasting,optimization, contract intelligence, and risk sensing.
- Experience assessing and managing SaaS AI vendors using structuredbuy/build/co-develop decisions.
- Proficient in SAP and planning environments (SAP IBP, S/4HANA, APO, TMS,o9, Kinaxis), with the ability to connect AI outputs to execution systems and datapipelines.
- Change management capab
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