Lead Data Analyst, Manufacturing Operations at Rivian

Normal, Illinois, United States -

Full Time

Start Date

Immediate

Expiry Date

05 May, 26

Salary

157200.0

Posted On

04 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Business Intelligence, Financial Systems, Manufacturing Cost Accounting, SQL, Python, ERP Systems, Predictive Analytics, Data Engineering, Financial Variance Analysis, Operational Constraints Analysis, Cost-Monitoring Products, Profitability Analysis, Stakeholder Management, Technical Leadership, Mentoring

Industry

Motor Vehicle Manufacturing

Description

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 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). Equal Opportunity 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 candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services.

Responsibilities

Lead the manufacturing analytics strategy for Rivian’s Plant Controllership and Operations Finance functions, designing scalable data pipelines and ML algorithms. Measure the financial impact of operational constraints and build new cost-monitoring products aligned with Rivian’s technology ecosystem.