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.

Key Responsibilities:

Data Strategy & Analytics Leadership:

• 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-dive 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.

 

Reporting & Cross-Functional Collaboration:

• 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.

 

Process & System Improvement:

• 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.