Lead Data Analyst, Manufacturing Operations

About Rivian Rivian is 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. Role Summary 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.

Why This Role Matters:

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. Responsibilities Lead the manufacturing analytics strategy for Rivian's Plant Controllership and Operations Finance functions. Design and deploy scalable data pipelines (ETL/ELT) and ML algorithms for automated root cause analysis of financial variances (isolating scrap, usage efficiency, and labor rate impact). Measure and quantify the financial impact of operational constraints-such as bottleneck uptime, micro-stoppages, and OEE fluctuations-across vehicle programs. Build and deploy new cost-monitoring products aligned with Rivian's in-plant technology ecosystem (SAP S/4HANA, MES, Kronos), including granular Hours Per Vehicle (HPV) and First Pass Yield (FPY) attribution models. Conduct deep profitability and contribution margin analysis for Rivian's production lines using high-frequency operational data. Act as a technical leader across the Finance, Data, and Operations organizations, bridging the gap between "physical" shop floor events and "financial" ledger outcomes. Optimize the month-end close and forecasting cycles through the development of resilient, auditable dashboards in Databricks, Hex, and Tableau. Mentor and develop the technical capabilities of the broader Plant Finance team, establishing coding standards and best practices for financial data engineering.

Qualifications 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, NumPy) for advanced data manipulation and modeling. Demonstrated success working with ERP systems (SAP S/4HANA 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. Pay Disclosure The salary range for this role is USD $125,800-$157,200 for applicants based in Georgia, Michigan, and Illinois. This is the lowest-to-highest salary we,... For full info follow application link. Equal Opportnity 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 status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at accessibility@rivian.com.