Senior Digital Data Steward Specialist

Technology, Digital and Data

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.

Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry-leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, and AI capabilities to help our customers build a better, more sustainable world.

Trusted product data is foundational to Caterpillar's Prime and Parts digital experiences, , , , dealer eSites, and beyond. The Product Data Steward brings a data science and analytics lens to product data quality across both domains: profiling, scoring, and modeling Prime and Parts attribute data at scale, and using statistical and automated methods, not manual review, to find and resolve the exceptions that matter most.

• Build and maintain statistical data quality scorecards for Prime product attributes, tracking completeness, consistency, and accuracy over time
• Use SQL and Python to profile Prime product data, identify anomalies, and quantify the business impact of data quality issues
• Design dashboards and visualizations that surface Prime data health trends to engineering and business stakeholders
• Apply automated rules and statistical models to triage data quality exceptions, replacing manual review with scalable detection
• Partner with Data Quality Engineering to build reusable profiling and reconciliation logic that can extend across other product domains
• Define and continuously refine content standards and business rules for Prime product data based on data-driven analysis
• Support enrichment and migration validation for Prime by measuring data readiness quantitatively rather than by spot-check
• Communicate data quality findings and trends clearly to both technical and non-technical stakeholders

Value Realization: Knowledge of value realization methods; ability to plan, execute, monitor and manage business activities and resources to determine and achieve the actual value from a business initiative as estimated in an associated business case.
Communicating Complex Concepts: Knowledge of effective presentation tools and techniques to ensure clear understanding; ability to use summarization and simplification techniques to explain complex technical concepts in simple, clear language appropriate to the audience.
Agile Development: Knowledge of agile methodologies and the agile development lifecycle; ability to utilize formal agile methodologies, disciplines, practices and techniques for the delivery of new and enhanced applications.
Cloud Computing: Knowledge of cloud-based solutions and their applications; ability to design, implement, and manage cloud-based solutions to meet business needs and improve operational efficiency.
Database Design (Physical): Knowledge of database systems; ability to establish a data model for designing an organization's database that runs effectively and efficiently for better business outcome.
Modeling: Data, Process, Events, Objects:
Knowledge of data, process and events; ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events.

• Experience in…