Lead Digital Aftermarket Specialist

Caterpillar•Peoria, IL

3d•Onsite

About The Position

As a Lead Digital Aftermarket Specialist for Wear and Maintenance Products, you will be at the forefront of transforming how our customers and dealers interact with our digital aftermarket solutions. Your primary mission is to ensure that the data supporting these solutions is accurate, accessible, and meaningful, ultimately driving a superior user experience. You will serve as a bridge between business stakeholders and technical teams, working to identify and resolve data gaps, streamline data processes, and implement best practices for data management. By leveraging advanced digital tools, including Python, SQL, Power BI, and AI-assisted coding platforms, you will help organize, maintain, and deliver information that empowers customers and dealers to make informed decisions and efficiently manage aftermarket needs. In this role, you will collaborate with cross-functional teams to understand evolving business requirements and translate them into actionable data improvements. You will also play a key part in supporting the development and enhancement of digital solutions, ensuring that data flows seamlessly and is tailored to the needs of our users. Your expertise will contribute to continuous improvement initiatives, helping us stay ahead of industry trends and maintain a competitive edge in digital aftermarket support. If you are passionate about data-driven innovation and creating impactful digital experiences, this role offers the opportunity to make a significant difference in how our customers and dealers engage with our products and services.

Requirements

Bachelor’s degree in an accredited curriculum is required.
Experience with data management tools such as Python, SQL, and Power BI.
Familiarity with AI-assisted coding tools (e.g., GitHub Copilot, Snowflake Cortex Code) is a plus.
Knowledge of emerging technologies, tools, and drive to accelerate innovation.
Proactively identifies, assesses, and mitigates technical execution risks to minimize customer impacts.
Ability to collaborate effectively with cross-functional teams.
Strong and consistent communications driving alignment across divisions (Cat Digital, Commercial and Product Groups, Cat Technology, and Analytics teams) to enable and accelerate digital tools.
Proven ability to clearly articulate complex ideas verbally, through emails, and presentations.
Excellent communication, prioritization, and organizational skills.
Strong customer focus with the ability to link customer needs to data, analytics, and digital solutions.
Systems-level thinking that connects products, data, and technology into cohesive solutions.
Ability to evaluate data readiness, quality, and gaps; establish remediation and governance approaches to enable reliable downstream data use.
Strong problem-solving skills and attention to detail.
Passion for improving customer and dealer experiences through digital solutions.
Ability to apply knowledge of wear and maintenance products, services, technology, and the digital ecosystem to address a variety of business and customer scenarios.
Driving the development and application of digital and data-driven approaches to improve dealer and customer experiences.

Nice To Haves

Advanced degree or equivalent experience is a plus (Engineering, Data Science, Computer Science, Analytics, Systems, or similar)
Practical experience applying coding or programming skills to real-world problems
Knowledge of Wear and Maintenance Aftermarket Business

Responsibilities

Collaborate with internal teams to identify and address Wear and Maintenance aftermarket data gaps and opportunities for process improvement.
Work to improve the quality, organization, and delivery of data that supports customer and dealer needs.
Support the development and enhancement of digital solutions that streamline aftermarket processes.
Use tools such as Python, SQL, Power BI, and AI-assisted coding platforms to optimize data workflows.
Communicate data requirements to technical support teams responsible for integration and preparation.
Monitor and evaluate the effectiveness of data-driven solutions in supporting customer and dealer experiences.