Role MissionOwn 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 capability to drive adoption with planners, buyers, andoperations teams. (Preferred)
- Financial acumen to build ROI cases, track realized value, and justify AIinvestments. (Preferred)
- Supply chain-first product thinker - connects AI capability to operational outcomes: cost, service level, resilience, and procurement efficiency.
- Commercially curious and analytically sharp - equally comfortable in a vendor demo, a planner's S&OP meeting, and a data science sprint review.
- Execution-focused and delivery-driven - moves use cases from idea to production without losing sight of adoption, change management, and measurable ROI.
- Collaborative and credible - earns trust with supply chain directors, procurement leaders, and data scientists alike through deep domain knowledge and intellectual honesty.
- 10+ years of progressive product management or supply chain/procurement operations experience; at least 3 years directly owning AI, analytics, or optimization products in B2B industrial settings.
- Proven record delivering AI/ML products in supply chain or procurement contexts - from demand forecasting and logistics optimization to spend analytics and contract intelligence - with quantified cost or service-level outcomes.
- Experience in specialty chemicals, bulk chemicals, or industrial manufacturing strongly preferred; familiarity with multi-plant logistics networks, bulk delivery optimization, raw material procurement complexity, and SAP/APO a significant plus.
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