Senior Digital Product Owner - Rental Data

Caterpillar•Chicago, IL

10d

About The Position

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. 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.

Requirements

Business Analysis: Knowledge of business analysis and the set of tasks, techniques and tools required to identify business needs; ability to recommend solutions that deliver value to stakeholders.
Decision Making and Critical Thinking: Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment.
Effective Communications : Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.
User Acceptance Testing (UAT): Knowledge of UAT activities, tasks, tools and techniques; ability to design, implement and evaluate acceptance tests for end-users.

Nice To Haves

Experience working in cross-functional environments involving business stakeholders, engineering teams, data teams, and external partners.
Experience working with complex datasets and data models, including validation of data accuracy, completeness, and consistency.
Proficiency in SQL and experience working with relational databases, data warehouses, or modern cloud-based data platforms.
Experience using analytics and reporting tools such as Power BI, Tableau, Databricks, Snowflake, Azure Data Explorer, or similar technologies.
Experience performing data validation, root cause analysis, data reconciliation, and cross-system troubleshooting.
Familiarity with APIs, system integrations, and data exchange concepts.
Knowledge of data-driven products and digital platforms, with an appreciation for the role of data in enabling business value and customer experiences.
Experience in the equipment rental industry, dealer operations, construction equipment, or related business domains.
Understanding of rental lifecycle processes, including fleet management, reservations, contracts, billing, invoicing, equipment utilization, and customer operations.
Experience defining business rules, data concepts, and process standards that support enterprise-scale digital products.
Experience leading dealer-facing initiatives, business process transformation, or enterprise integration programs.
CSPO or similar Product Management certification preferred

Responsibilities

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 data sources.
Ensure data quality, consistency, and reliability across dealer systems and enterprise platforms to enable trusted reporting, analytics, and customer-facing experiences.
Collaborate with product teams, analytics teams, and business stakeholders to understand evolving needs and ensure the Rental Data Model continues to support strategic business objectives.
Act as an advocate for the rental business throughout product development, ensuring business priorities remain at the center of technical implementation decisions.