> Markdown version of [/jobs/ext/4548204-global-planning-ai-product-owner](https://www.wearedevelopers.com/jobs/ext/4548204-global-planning-ai-product-owner). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Global Planning AI Product Owner - **Company:** Stellantis - **Location:** Auburn Hills, MI, United States - **Salary:** $95,000.0 - $125,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, JIRA, Decision Support Systems, Scrum Methodology, SQL Databases - **Published:** November 3, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=3045749408-2 ## About the Role * Product management * Agile/Scrum methodologies * AI and machine learning concepts * Data analysis and visualization * Supply chain and production planning basics * Requirements gathering and documentation * JIRA or similar backlog tools * SQL or Python for data querying * Manufacturing/Industry 4.0 concepts * Stakeholder communication ## Description Stellantis seeks a Global Planning AI Product Owner (Student Program) to support AI-enabled production and supply planning in a leading automotive manufacturing environment. In this role, you will help define requirements, prioritize features, and coordinate sprints for AI planning solutions used across global plants. Working with engineering, data, and operations teams, you'll analyze performance data, refine user stories, and support pilots and deployments. This student-focused role is ideal for those passionate about Industry 4.0, data-driven decision making, and sustainable, software-defined mobility., * Support product vision and roadmap for AI-driven global production planning tools * Gather and translate user requirements from manufacturing and supply chain stakeholders * Collaborate with data science, software, and operations teams to enhance AI planning features * Assist in backlog management, user story creation, and sprint planning * Monitor AI model performance and planning KPIs, proposing improvements * Document product requirements, workflows, and release notes * Contribute to pilots and global rollouts across plants and regions * Research emerging AI and Industry 4.0 trends to inform product strategy