Digital Customer Experience Engineer

Career Area: Engineering Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other.  We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. The Integrated Components & Solutions (ICD) division owns Caterpillar’s Wear & Maintenance (W&M) components business — the ground engaging tools, undercarriage, hose & coupling, fluids & filters, and associated hardware that keep the world’s machines running. Our team is building the digital, data, and AI capabilities that make these products easier for customers and dealers to find, buy, use, and get value from. As Data Specialist, Wear & Maintenance (W&M), you will help maintain and automate the W&M data layer that powers our digital and AI capabilities. Supporting the W&M Digital Solutions team and the W&M Customer Experience strategy lead — and partnering closely with data owners and engineering teams — you will help build and run the processes that carry W&M data from parts information, through compatibility, to service options — keeping it complete, accurate, and automated. This is a hands-on, technical role: you will develop data pipelines and automation, support data analytics, and track data quality so that every downstream digital and AI experience is built on trusted data. You will play a key role in maintaining and improving these data processes, while also supporting the analytics and quality tracking behind smarter customer and dealer experiences.

Maintain and automate the W&M data layer, and develop the processes that transform W&M data from parts information, through compatibility, into service options. You will support data analytics and data-quality tracking across the teams and systems that make up the W&M digital ecosystem — from the underlying data, to the AI capabilities that use it, to the customer- and dealer-facing channels where it all comes together. You will help build, run, and monitor data pipelines and automation — using approaches such as SQL, Python, and AI-assisted tooling such as Model Context Protocol (MCP) — that keep W&M part, compatibility, and service-option data complete, accurate, and trustworthy. You will be a key contributor to the team that owns W&M domain data quality — helping close gaps, remediate defects, and improve coverage so W&M offerings surface reliably across VisionLink, Cat Central, SIS2, and the Cat AI Assistant.

Maintain and automate the W&M data layer — build and run the processes that carry data from parts information, through compatibility, to service options. Write and maintain SQL and Python to transform data, build automation, and validate that data- and AI-driven processes return accurate, trustworthy results. Support data analytics and quality tracking — monitor coverage, completeness, and accuracy, and surface defects for remediation. Contribute to and support our core product and component data — helping close gaps, improve accuracy, and ensure high quality, because good data is the foundation of every digital and AI capability. Use AI-assisted tooling to accelerate data maintenance, classification, and enrichment at scale, with appropriate human review. Serve as a W&M data domain contributor, ensuring data reflects our business needs and how customers and dealers work. Communicate data status, quality metrics, and results clearly to stakeholders across functions and geographies. What You Will Have: Data Management: Working knowledge of the processes, tools, and techniques of data management; ability to maintain the quality, integrity, and accessibility of organizational data