Automotive Warranty Claim Data Lead

The Automotive Warranty Claim Data Lead is a critical role responsible for driving data informed decisions across the organization by leading the collection, analysis, and reporting of automotive warranty claim data. This position will lead efforts to identify emerging quality issues, forecast warranty costs, and provide actionable insights to Engineering, Quality, Service, and Finance teams to improve product reliability and minimize warranty expenditure.

The Data Lead will also be responsible for the integrity and strategic use of the core warranty database.

• Lead the development, implementation, and maintenance of advanced analytical models (e.g., predictive models, time‑series forecasting) to project future warranty claims, failure rates, and cost trends.
• Spearhead deep‑drop analysis on complex warranty datasets to uncover root causes of product failures, identify anomalies, and detect potential over repair.
• Develop and manage the overall data governance strategy for the warranty claims database, Palantir/MAP, to ensure data accuracy, consistency, and reliability across all reporting and analytical platforms.
• Design, build, and maintain intuitive data dashboards and Key Performance Indicators (KPIs) to monitor group warranty goals, claim trends/broken clean points, and product reliability for all relevant stakeholders.

• Prepare and present regular, comprehensive reports on warranty performance, cost drivers, and key findings to senior management, including executive‑level summaries.
• Collaborate cross‑functionally with Quality, Engineering, Manufacturing, and Service teams to translate data insights into concrete product or process improvements.
• Provide actionable intelligence to the Technical Service team, enabling faster resolution of recurring and high‑cost failure modes in the field.
• Support the Finance and Accounting departments with accurate warranty cost accruals, budget forecasting, and financial reporting based on data‑driven projections.

• Identify opportunities to leverage advanced technologies, such as Machine Learning or AI, to enhance data mining, claims validation, and root cause analysis processes.
• Act as the subject matter expert and system administrator for key warranty and data platforms (e.g., Global Warranty Management System, BI tools, data warehouses).
• Champion continuous process improvement within the warranty data workflow, seeking to automate data pipelines and streamline reporting to improve efficiency.
• Ensure all data handling and reporting complies with company policies, legal requirements, and industry standards.

• Bachelor's degree in Data Science, Statistics, Engineering, Computer Science, or a related quantitative technical field.
• 5+ years of experience in data analysis, business intelligence, or data science.
• 3+ years of experience specifically within the automotive, manufacturing, or heavy‑equipment industry, with a focus on warranty data, reliability engineering, or technical services.
• Proven experience in a leadership or lead‑analyst role, mentoring junior team members or managing complex analytical projects.

• Master's degree.
• Proficiency in SQL for complex data querying, manipulation, and analysis of large datasets.
• Programming skills in a statistical or data science language, such as Python or R.
• Proficiency with Business Intelligence and data visualization tools (e.g., Tableau, Power BI, Qlik Sense) to create insightful reports and dashboards.
• Familiarity with warranty management systems (e.g., Global Warranty Management) and enterprise data environments (e.g., data lakes, cloud platforms like AWS, Azure, or GCP).
• Solid understanding of statistical methodologies for time‑to‑failure analysis (e.g., Weibull), forecasting, and hypothesis testing.
• Knowledge of quality improvement methodologies (e.g., Six Sigma, FMEA).
• Experience with machine learning frameworks and modeling for predictive maintenance or failure prediction.
• Prior experience working directly with automotive dealer management systems (DMS) data.
• A…