Digital Customer Experience Engineer

Job Summary

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.

What You Will Do:

• 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 across its lifecycle, and integrate data resources for business processes and functional support.
• Analytical Thinking: Strong knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of data and process problems and create alternative solutions that resolve them.
• Accuracy and Attention to Detail: Solid Understanding of the necessity and value of accuracy; ability to complete tasks with high levels of precision and to monitor and improve the quality of organizational data.
• Requirements Analysis: Knowledge of tools, methods, and techniques for requirements analysis; ability to elicit, analyze, and document data and process requirements to ensure the success of a system or software development project.
• Effective Communications: Understanding of effective communication concepts, tools, and techniques; ability to effectively receive, interpret, and convey data status, quality metrics, and business needs in written and oral communications across many geographies and functional disciplines.

Considerations for Top Candidates:

• 3+ years of experience in data management, engineering, or analytics.
• Hands-on proficiency with SQL and Python for querying, transforming, and automating data workflows.
• Experience with data platforms and pipelines (e.g., Snowflake, SQL, ETL) and comfort turning data into usable, trustworthy results. Ability to build Snowflake database objects (views, tables, stored procedures, etc.).
• General knowledge of Wear & Maintenance products (ground engaging tools, undercarriage, maintenance parts) is a plus; familiarity with engineering/BOM data is valued.
• Ability to build pipelines that leverage machine learning and/or AI agents to incorporate business logic and ensure data quality and completeness. Interest in and aptitude for AI-assisted data tooling (e.g., MCP, LLM-based tools) to accelerate data maintenance and quality.
• Strong attention to detail and a track record of improving data quality, coverage, and consistency.
• Strong communication skills in a collaborative, cross-functional, cross-geography environment.

Additional Details:

• This position requires the candidate to work full-time at the Caterpillar office in Chennai, India.
• This position may require up to 10% travel.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.