Senior Digital Product Owner - Data Model

Caterpillar Inc.•Peoria, IL

6d•$112,710 - $183,140

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 Digital at Caterpillar, you will own the Helios Rental Data domain as a product, ensuring data availability, quality, and readiness across key rental objects. You will define and maintain data standards, identify and close data gaps, and act as the bridge between business needs and data delivery. You will translate requirements into data-driven features, support analytics and digital applications, and lead dealer data integration, validation, and deployment efforts. Additionally, you will manage the data backlog and partner with engineering and dealer teams to resolve data quality issues and ensure scalable, consistent rental data across the ecosystem.

Requirements

Software Problem Management: Knowledge of strategies, practices and tools for resolving software problems; ability to manage software problems in installed software products.
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.
Software Product Business Knowledge: Knowledge of and experience with the business aspects and operation of a software product; ability to manage install base, current uses, future plans, and product vision.

Nice To Haves

Experience in data modeling
AWS services preferred
Working knowledge of Snowflake
ETL knowledge
Experience working within Azure DevOps
CSPO or related certifications preferred

Responsibilities

Support the Rental Data team in managing the Helios Rental Data domain by assisting with data availability, structure, quality, and readiness across key rental objects (e.g., fleet, customers, jobsites, contracts, invoices, and rates), contributing to overall data standardization and governance efforts
Assist in maintaining rental data attributes and supporting identification of gaps between business needs and the Helios Rental Data Model, helping track and drive actions to address those gaps
Support translation of business requirements into data-related backlog items, features, and acceptance criteria, ensuring alignment with downstream analytics, reporting, and digital application needs
Assist in dealer integration and deployment activities, including: Supporting deployment planning and dealer onboarding coordination, Assisting with kick-off sessions, pre-deployment reviews, and data mapping discussions, Helping collect and profile dealer data for integration readiness
Support end-to-end validation of dealer rental data ingested into Helios to ensure accuracy, completeness, and consistency across systems
Identify, track, and assist in resolution of: Data quality issues and defects, Missing, inconsistent, or misinterpreted attributes, Integration gaps across dealer systems
Assist in managing and maintaining the data backlog focused on data quality improvements, standardization, and model enhancements
Partner with engineering, integration teams, and Rental SMEs to support resolution of data-related issues and ensure consistent data delivery across the rental ecosystem
Contribute to enforcing data governance standards, documentation, and best practices to enable scalable, reliable rental data for analytics, reporting, and digital platform consumption