Senior Digital Product Owner - Rental Data
Caterpillar
- Location
- Chicago Illinois
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 106 approvals (FY2023)
- Posted
- Aug 13, 2026
Skills
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 a Senior Product Owner for Rental Data and Dealer Integrations, you will play a critical role in shaping the foundation of Caterpillar's digital rental ecosystem. You will own the vision, strategy, and evolution of the Rental Data Model, ensuring rental information is consistently represented, understood, and leveraged across digital products, analytics, and customer experiences. This role sits at the intersection of rental business operations, digital product management, data management, and dealer collaboration. You will work closely with rental subject matter experts, dealers, engineering teams, data analysts, and business stakeholders to define how rental data should be structured, connected, governed, and utilized across the enterprise. A successful candidate will bring a strong understanding of rental business processes and concepts, enabling them to translate business needs into clear product requirements and provide domain expertise to engineering teams building and maintaining the underlying data capabilities. The ideal candidate is comfortable working with large datasets, analyzing data quality issues, writing SQL queries, and using data-driven insights to support product decisions.
What You Will Do
Own and evolve the Rental Data Model strategy to support current and future rental business needs across Caterpillar and dealer networks. Serve as the primary bridge between rental business stakeholders and engineering teams, ensuring business requirements are accurately translated into scalable digital solutions. Define and prioritize the product roadmap and backlog for rental data and dealer integration capabilities. Partner with rental business leaders and subject matter experts to establish common definitions, standards, and business rules for key rental entities such as equipment, customers, contracts, rates, invoices, jobsites, and fleet operations. Drive alignment across teams on how rental data is captured, interpreted, and utilized throughout the digital ecosystem. Lead dealer onboarding and integration initiatives, ensuring successful adoption of enterprise rental data standards and processes. Identify business challenges, operational inefficiencies, and data gaps impacting customers, dealers, and internal teams, and define solutions that create measurable business value. Analyze rental, customer, equipment, and dealer data to identify trends, business opportunities, data quality issues, and integration gaps. Use data and analytics to validate business requirements, investigate production issues, support decision-making, and measure business outcomes. Partner with engineering teams to provide rental business context, clarify requirements, and support solution design and decision-making. Collaborate with data engineers, analysts, and architects to define data requirements, establish data standards, and ensure effective data governance practices. Validate data accuracy and integrity by performing data analysis, data reconciliation, and root cause investigations across multiple systems and