AI & Automation Product Owner
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.
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