Sr. Business Requirements Analyst, Supply Chain Systems

About Rivian

Rivianis on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.

This role owns business requirements management across three connected domains that keep Rivian's warehouse and manufacturing data operations running:
Warehouse Systems (FLP, SAP, Pace, YMS, EKanban), Master Data (Material Master, SAP EWM Master Data, PFEP, and governance strategy), and Grief (the ongoing operational exception load spanning COGI errors, Over Max exceptions, queue backlogs, and inventory discrepancies).To be successful, this role requires a strong SAP background and hands-on confidence with data analytics to translate ambiguous, cross-system operational pain points into clear, prioritized, actionable business requirements.

This role will be onsite in Normal, IL

Warehouse Systems & Integration

• Gather, document, and manage business requirements across the warehouse systems landscape (FLP, SAP, Pace, YMS, EKanban, and new platforms).
• Serve as the primary business liaison between Warehouse Operations and IT/Engineering on system enhancements, upgrades, and defect resolution.
• Translate frontline warehouse operations pain points into functional specifications and prioritized requirements.

Master Data & Governance

• Own business requirements for Material Master and SAP EWM Master Data governance initiatives, creating clear documentation and governance strategy standards across ERP and EWM.
• Support PFEP (Plan For Every Part) strategy, ensuring part-level planning parameters are accurately reflected across supporting systems.
• Translate data-driven process gaps into structured, actionable business requirements.

Grief & Exception Management

• Own business requirements related to COGI error resolution, Over Max exception handling, queue management, and inventory discrepancy issues.
• Partner with Warehouse Operations, Material Flow Engineering, and IT to define root-cause-driven requirements rather than one-off fixes.
• Track, trend, and report recurring scorecards on grief-related metrics and warehouse systems performance to leadership.

Analytics & Cross-Functional Collaboration

• Apply hands-on data analytics (SQL, Databricks) to independently investigate, quantify, and prioritize requirements across all domains.
• Build and maintain traceability matrices linking business needs to system capabilities and measurable outcomes.
• Present requirement packages, root-cause findings, and recommendations to leadership, Procurement, Planning, and cross-functional stakeholders.

Required

• SAP Expertise:
  Strong SAP background spanning S/4
  
  HANA (Material Master) and SAP EWM; comfortable working seamlessly across ERP and warehouse execution systems.
• Data Analytics:
  Confident, hands-on data analytics skills (SQL, Databricks) to independently investigate, quantify, and pull data for root-cause analysis.
• Requirements Translation:
  Proven ability to translate ambiguous, cross-system operational pain points ("grief") into structured, prioritized business requirements.
• Education:
  
  Bachelor’s degree in Supply Chain, Information Systems, Business Administration, Engineering, or a related field.
• Experience:
  
  3-5+ years of relevant experience in business requirements management, supply chain analytics, warehouse operations, or system implementation.

Preferred

• Requirements Discipline:
  Strong background in full-lifecycle business requirements management, including prioritization, acceptance criteria, and requirements traceability.
• Domain Knowledge:
  Working familiarity with warehouse systems (or demonstrated ability to ramp quickly on new platforms), PFEP methodology, and master data governance practices.
• Stakeholder Management:
  Exceptional cross-functional collaboration skills, with the ability to align…