Lead Data Analyst, Manufacturing Operations

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.

We’re seeking a visionary Lead Data Analyst, Manufacturing Operations within our Plant Controllership program to lead the design and delivery of Rivian’s next-generation manufacturing analytics ecosystem. This senior individual contributor will drive the strategy and execution for real-time cost convergence, shop-floor telemetry integration, and “financial digital twin” architecture—leveraging our vast operational data to build first-of-their-kind predictive FP&A products. The ideal candidate brings deep technical controllership expertise, strong industrial data science acumen, and the leadership to scale data-driven decision-making in a rapidly evolving EV production environment.

• Redefine Manufacturing Unit Economics: Build Rivian’s strategy for integrating real-time shop floor signals (MES, SCADA), labor dynamics, and material flow into live financial models, moving beyond static standard costing.
• Lead Predictive Cost Innovation: Be among the first in the industry to model and launch “preventative financial maintenance” algorithms—detecting yield loss and margin erosion anomalies before the month-end close.
• Controllership Meets Data Science: Apply predictive analytics, automated variance causation modeling, and BOM-level granularity to drive safer, smarter, and more precise capital allocation.
• Build a Platform: Lead a cross-functional initiative at the intersection of data engineering, plant operations, and finance to democratize “cost-per-second” insights.
• Shape Operational Finance Standards: Work with Plant Directors and the C-Suite to define next-gen KPIs and automated governance frameworks that link physical production to P&L outcomes.

Required Qualifications:

• 7+ years of progressive experience in data analytics, business intelligence, or financial systems, specifically within Manufacturing, Supply Chain, or Industrial Finance settings.
• Deep experience with manufacturing cost accounting concepts:
  Standard Costing, Bill of Materials (BOM) explosion, WIP valuation, and absorption logic.
• Proven leadership in architecting analytics platforms that solve complex operational problems.
• Strong command of SQL (Window functions, CTEs, optimization) and Python (Pandas, Num Py) for advanced data manipulation and modeling.
• Demonstrated success working with ERP systems (SAP S/4
  
  HANA preferred) and unifying them with operational data sources (MES, Timekeeping/Kronos).
• Strong executive communication and stakeholder management skills; ability to translate complex technical findings into strategic business guidance.

Preferred Qualifications:

• Prior experience in automotive or high-volume EV manufacturing environments.
• Expertise in modern data stack tools:
  Databricks, Spark, dbt
  , or similar cloud-based engineering platforms.
• Advanced degree (Master’s) in Engineering, Finance, Computer Science, or a related quantitative field.
• Passion for mobility innovation, sustainable manufacturing, and building "zero-defect" financial data cultures.

Salary Range for Normal, IL based applicants: $125,800 - $157,200 annually (Actual compensation will be determined based on experience, location and other factors permitted by law).

Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner…