[Remote] Senior Product Manager, AI - Supply Chain & Procurement - US Remote
Note: The job is a remote job and is open to candidates in USA. Hexion Inc. is a company that focuses on innovation and sustainability in various industries. They are seeking a Senior Product Manager to own the AI product strategy and delivery for their Supply Chain and Procurement functions, focusing on turning operational data into competitive advantages through AI-driven solutions.
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
Skills
- 7+ years in product management, supply chain, or procurement; 3+ years leading AI/analytics products in B2B industrial or manufacturing settings
- Strong grasp of supply chain planning and procurement, including demand sensing, S&OP, inventory, logistics, sourcing, contracting, and supplier management
- Able to convert business workflows into AI product requirements, including user stories, 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 structured buy/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 data pipelines
- 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
- Change management capability to drive adoption with planners, buyers, and operations teams
- Financial acumen to build ROI cases, track realized value, and justify AI investments
- 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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