Digital Product Owner - Unified Catalog
Caterpillar
- Location
- Chicago Illinois
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 106 approvals (FY2023)
- Posted
- Sep 11, 2026
About this role
Career Area: Technology, Digital and Data 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. 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, telematics and AI capabilities to help our customers build a better, more sustainable world.
Job Summary
As the Digital Product Owner – Unified Catalog within the Rental and Used team at Caterpillar, you will own the strategy, roadmap, and execution of the Unified Catalog platform, primarily driven through PIM (Product Information Management) systems. You will be responsible for enabling a single, consistent, and scalable product data foundation across digital platforms such as rent.cat.com and Cat Rental Store (CRS 2.0). This includes managing product hierarchies, attributes, taxonomy, and data integration across upstream and downstream systems. Working closely with engineering, CMS, analytics, marketing, and dealer teams, you will ensure that product data is accurate, complete, and structured to support seamless customer experiences, dealer operations, and digital growth initiatives.
What You Will Do
Product Strategy & Roadmap Define and drive the product vision and roadmap for Unified Catalog and PIM capabilities Align catalog initiatives with enterprise digital strategy, content ecosystem (CMS), and Rental & Used business objectives Identify opportunities to improve product data quality, scalability, and reuse across platforms Unified Catalog (PIM) Domain Ownership Product onboarding and enrichment Attribute definition and standardization Product classification and taxonomy Data governance and lifecycle management Establish and maintain consistent product data models across Rental and Used equipment catalogs Ensure alignment between PIM, CMS, CPC, and downstream consumer systems Catalog Structure & Data Modeling Product hierarchies (categories, families, variants) Attribute frameworks (specifications, features, metadata) Taxonomy and classification standards Ensure data models support: PLP/PDP experiences Search, filtering, and navigation Localization and multi-region requirements Platform Integration & Data Flow CMS (content rendering) CPC and syndication layers Supplier and engineering data sources Ensure accurate and timely data synchronization across platforms Data mapping Attribute alignment System integrations Data Quality & Governance Define and enforce data quality standards, validation rules, and completeness requirements Product onboarding Data updates and approvals Attribute and taxonomy changes Monitor and improve data accuracy, consistency, and coverage across catalogs Backlog & Delivery Execution Own and prioritize the Unified Catalog / PIM product backlog Translate business requirements into clear user stories, acceptance criteria, and data requirements Partner with engineering teams to deliver scalable and reliable catalog capabilities Ensure releases align with business priorities and deliver measurable value Cross-Functional Collaboration Engineering (PIM, integration, platform teams) CMS / content teams Marketing and SEO teams Analytics and reporting teams Dealer and business stakeholders Partner with analytics teams to enable reporting and visibility into catalog performance and gaps Performance & Insights Product data completeness and quality scores Attribute coverage and