Position Overview
Partner with Commercial, Supply Chain, Finance, Procurement, and Ops to identify and prioritize high-impact AI/automation use cases.
Own end-to-end delivery of AI/ML solutions integrated with ERP (automation, predictive analytics, and LLM assistants in workflows).
Job Responsibilities
• Define requirements (PRDs, user stories, acceptance criteria) and align business users with delivery teams (DS/Eng/IT).
• Enable ERP-native AI and third-party integrations (e.g., invoice automation, forecasting, procurement, inventory, order mgmt.).
• Identify automation-ready processes, map/redesign workflows with process owners, and coordinate RPA implementation.
• Drive adoption: training, SOP updates, usage metrics, and continuous improvement based on feedback.
• Own the backlog and roadmap; manage priorities and communicate progress and outcomes.
• Operate within AI governance, data, and compliance standards; manage risks and escalate blockers early.
• Support vendor/tool evaluations for AI and automation platforms with IT and leadership.
• Create enablement materials and run working sessions to help teams adopt AI-assisted workflows.
Knowledge, Skills, and Experience
• 5-7 years in product, ERP, process automation, or digital transformation with hands-on delivery ownership.
• SAP ECC/S4 experience; understanding of modules (MM/SD/FI/PP) and ability to translate processes into requirements.
• RPA experience (UiPath, Power Automate, or similar); able to spot and size automation opportunities.
• Working knowledge of AI/ML and GenAI (RAG, copilots/agents, LLM integration) to partner with DS/Eng teams.
• Strong product execution: specs, backlog ownership, and agile/hybrid delivery.
• Proven adoption focus-driving trust, usage, and measurable business outcomes.
• Comfortable with integrations (APIs, middleware) to connect AI solutions with ERP and adjacent systems.
• Clear communicator with business stakeholders; can translate technical concepts without heavy jargon.
Preferred Qualifications
• Azure data/AI (Databricks, Azure OpenAI, Data Factory).
• Palantir Foundry and/or supply chain/procurement analytics tools.
• CRM (Salesforce/Dynamics), ideally in B2B manufacturing/chemicals.
Other
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