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The role involves leading AI initiatives in asset management, supporting investment and operations teams, managing data pipelines, and analyzing investment performance.

The Customer Experience Program Manager leads dealer service improvement programs focusing on customer satisfaction, data analysis, and performance metrics to drive improvements in service operations.

The Business Development Lead for IAM will manage a team to grow sales within the automotive aftermarket, focusing on customer activation, distributor engagement, and revenue growth strategies while leading regional teams and building industry relationships.

The Supplier Table Quality Engineer ensures supplier process quality, manages inspections, coordinates corrective actions, and supports engineering-manufacturing communication.

The Sr. Configuration Optimization Analyst evaluates market performance, identifies margin improvement opportunities, and provides analytical recommendations to optimize vehicle configurations for better sales performance.

The International Supply Chain Program Manager will oversee the management of components and materials across regions, ensuring efficiency in international vehicle programs and leveraging global supply chain strategies.

Design, build, and optimize data pipelines for massive datasets. Collaborate with stakeholders, implement CI/CD processes, and ensure data architecture scalability.

The role manages campaign administration for vehicle recalls, coordinating cross-functional tasks and ensuring compliance, analytics, and effective communication with stakeholders.

The Solution Architect proposes AI-based solutions, analyzes problems, defines system architectures, and collaborates with product managers and implementation teams to deliver efficient AI solutions for product development.

Design and maintain scalable backend data models and pipelines for global purchasing analytics. Build production-grade SQL/PySpark/Python code, integrate fragmented data sources across Snowflake/Foundry/Databricks, implement validation and automation, collaborate with analysts and stakeholders, and support AI-driven tooling while ensuring at least four hours overlap with EST.