Engineering Manager - Analytics, PLM and Tools

Caterpillar; Clayton (NC); On-site; USD 128,000 - 193,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401(k) savings plans

Bonus/incentive programs

Paid time off

Job summary

Caterpillar’s Clayton Machine Development Center seeks an Engineering Manager for Analytics, PLM, and Tools to lead a global, high-performing team delivering data-driven solutions. You will shape strategy, establish governance, and drive adoption of analytics, PLM enhancements, and automation across engineering and business functions.

You will partner with engineering, IT, purchasing, and other groups to transform data into actionable insights, enabling smarter decisions and cost-effective

Qualifications

• Bachelor’s degree in engineering, data science, computer science, information systems, or a related field.
• Experience leading technical teams, projects, or workstreams in an engineering or business environment.
• Experience with Power BI, Tableau, or similar business intelligence software, including the development of visually effective, intuitive reporting and decision-support solutions.
• Experience with Snowflake or a comparable cloud-based data warehouse or enterprise data platform.
• Strong written and verbal communication skills, with the ability to engage both technical and nontechnical audiences.
• Proficiency with Microsoft 365 applications, including Teams, Excel, PowerPoint, and Word.

Responsibilities

• Build, lead, and develop a high-performing team across analytics, PLM, and engineering productivity tools.
• Define the team’s strategy, roadmap, governance, priorities, and performance measures.
• Partner with internal customers to prioritize needs and deliver scalable technical solutions.
• Deliver intuitive dashboards, reports, interfaces, and shared data products that translate insights into action and support informed decision-making.
• Improve PLM systems and develop automation tools that streamline workflows, increase adoption, and reduce cost and rework.
• Partner with enterprise teams to acquire, govern, and analyze telematics and other business-critical data, turning it into actionable insights.
• Apply AI and machine learning to analytics products and engineering workflows where they create measurable value.
• Communicate the team’s value, drive adoption, support investment decisions, and share best practices and reusable solutions across Caterpillar.

Skills

Data analysis

Team collaboration

Analytical thinking

Troubleshooting

Requirements analysis

Products and services knowledge

Education

Bachelor’s degree in engineering, data science, computer science, information systems, or related field

Tools

Power BI

Tableau

Snowflake

Microsoft 365

Job description

Career Area:

Engineering

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.

Position Overview

As the Engineering Manager for Analytics, Product Lifecycle Management (PLM), and Tools, you will lead a specialized team that delivers data, digital, and process solutions for the global BCP organization. You will establish the strategy, priorities, and performance measures for the function while partnering with engineering and other product development teams to improve speed, quality, cost, and user experience.

This role provides the opportunity to influence product design and business performance by partnering across a diverse global organization—including engineering, procurement, information technology, EHS, analytics, advanced technology, and other business functions. You will help unlock insights from machine telematics, enterprise data platforms, and engineering systems; advance PLM transformation and continuously improve existing PLM tools; and contribute to division-level artificial intelligence initiatives.

What You Will Do

• Build, lead, and develop a high-performing team across analytics, PLM, and engineering productivity tools.
• Define the team’s strategy, roadmap, governance, priorities, and performance measures.
• Partner with internal customers to prioritize needs and deliver scalable technical solutions.
• Deliver intuitive dashboards, reports, interfaces, and shared data products that translate insights into action and support informed decision-making.
• Improve PLM systems and develop automation tools that streamline workflows, increase adoption, and reduce cost and rework.
• Partner with enterprise teams to acquire, govern, and analyze telematics and other business-critical data, turning it into actionable insights.
• Apply AI and machine learning to analytics products and engineering workflows where they create measurable value.
• Communicate the team’s value, drive adoption, support investment decisions, and share best practices and reusable solutions across Caterpillar.

Core Skills

• Data Analysis and Decision Support: Experience using data and analytics to support informed decision-making, including organizing relevant information, assessing alternatives, and clearly communicating findings.
• Team Collaboration and Facilitation: Ability to work effectively with cross-functional and global teams, facilitate discussions on goals and responsibilities, and support teams through successful completion of projects and initiatives.
• Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
• Troubleshooting and Problem Solving: Ability to anticipate, identify, and resolve technical and process issues by analyzing data, evaluating impacts, and applying structured problem-solving techniques.
• Requirements Analysis: Working knowledge of gathering, documenting, and managing business and system requirements, ensuring alignment between user needs, system capabilities, and business objectives.
• Products and Services Knowledge: Working knowledge of how products, services, and supporting systems are developed, released, and supported within an engineering organization, including an understanding of linkages across functions and value chains.

Required Qualifications

• Bachelor’s degree in engineering, data science, computer science, information systems, or a related field.
• Experience leading technical teams, projects, or workstreams in an engineering or business environment.
• Experience with Power BI, Tableau, or similar business intelligence software, including the development of visually effective, intuitive reporting and decision-support solutions.
• Experience with Snowflake or a comparable cloud-based data warehouse or enterprise data platform.
• Strong written and verbal communication skills, with the ability to engage both technical and nontechnical audiences.
• Proficiency with Microsoft 365 applications, including Teams, Excel, PowerPoint, and Word.

Preferred Qualifications

• Programming experience with SQL, Python, and DAX.
• Demonstrated ability to collaborate across engineering, purchasing, supply chain, manufacturing, and other business disciplines.
• Exposure to a machine learning platform such as TensorFlow, scikit-learn, or other industry-standard applications.
• Experience developing analytics products using Snowflake, data lakes, or similar enterprise data platforms.
• General knowledge of product development frameworks and processes, including Caterpillar New Product Introduction (NPI).
• Understanding of PLM platforms, engineering data, configuration management, and related product development workflows.
• Understanding of how Caterpillar telematics data is collected, stored, consumed, and used to serve internal and external customers.
• Knowledge of Caterpillar or other equipment manufacturers’ products, applications, and customer use cases.
• Experience with applying automation, machine learning, or artificial intelligence to engineering or business processes.

Additional Information

• Travel: 10% or less domestic and international
• Locations: Clayton Machine Development Center
• Work Arrangement: On-site, five days per week
• Work Sponsorship: No
• Relocation offered: Yes

Summary Pay Range:

$128,470.00 - $192,710.00

Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.

Benefits:

Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.

• Medical, dental, and vision benefits*

• Paid time off plan (Vacation, Holidays, Volunteer, etc.)*

• 401(k) savings plans*

• Health Savings Account (HSA)*

• Flexible Spending Accounts (FSAs)*

• Health Lifestyle Programs*

• Employee Assistance Program*

• Voluntary Benefits and Employee Discounts*

• Career Development*

• Incentive bonus*

• Disability benefits

• Life Insurance

• Parental leave

• Adoption benefits

• Tuition Reimbursement

* These benefits also apply to part-time employees

This position requires working onsite five days a week.Relocation is available for this position.Visa Sponsorship is not available for this position.

Posting Dates:

November 3, 2026 - November 17, 2026

Any offer of employment is conditioned upon the successful completion of a drug screen.

Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.