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.
As the Manager, Analytics & Data Engineering within Global Parts Pricing Analytics (GPP), you will lead a global team of data scientists, data engineers, advanced analytics engineers, and machine learning professionals responsible for delivering scalable analytics, automation, and AI-driven solutions that support Caterpillar's pricing strategy and business operations. You will partner closely with business and IT leaders to identify, prioritize, and execute high-impact opportunities that improve decision-making, operational efficiency, and business performance through analytics, automation, and artificial intelligence.
This role combines people leadership, technical depth, and business partnership to deliver measurable business value across Caterpillar's aftermarket pricing organization. The successful candidate will be comfortable leading teams, influencing strategy, and leveraging modern cloud, analytics, and AI technologies to solve complex business challenges.
What You Will Do
- Lead and develop a global team of data scientists, data engineers, advanced analytics engineers, and machine learning professionals delivering analytics, and automation to business problems.
- Partner with business stakeholders to identify, scope, prioritize, and execute high-value analytics and AI opportunities that drive measurable business impact.
- Drive the adoption of advanced analytics, machine learning, automation, and AI capabilities across the Global Parts Pricing organization.
- Provide leadership, coaching, and career development for technical teams while building a strong analytics and Data Engineer talent pipeline.
- Translate complex business challenges into scalable data, analytics, and AI solutions aligned with enterprise goals.
- Manage key enterprise data assets to ensure data quality, governance, controls, and accessibility are maintained.
- Lead continuous improvement initiatives across Snowflake and AWS environments supporting aftermarket pricing analytics and operations.
- Monitor, communicate, and influence key business performance metrics through data-driven insights and recommendations.
Stay informed of emerging technologies and identify new opportunities to leverage analytics, and automation to improve business outcomes.
What You Have:
Leadership & Business Partnership
- Demonstrated experience leading and developing technical teams within Data Science, Data Engineering, Analytics Engineering, or Machine Learning environments.
- Proven ability to partner with business leaders to prioritize initiatives, manage stakeholder expectations, and deliver measurable outcomes.
- Experience influencing cross-functional teams and driving alignment across technical and non-technical audiences.
Communication & Influence
- Exceptional verbal and written communication skills with the ability to simplify complex analytical and technical concepts for all levels of the organization.
- Proven ability to present recommendations, insights, and business cases to senior leaders and stakeholders.
- Strong executive presence with the ability to influence strategic direction through data-driven decision making.
Analytics, AI & Problem Solving
- Knowledge of advanced analytics, statistical modeling, machine learning, and AI principles.
- Ability to apply analytical thinking and problem-solving techniques to identify root causes and develop scalable solutions.
- Experience leveraging analytics, automation, and AI to solve complex business problems.
Technical Expertise
- Hands-on experience with:
- Python
- SQL
- Snowflake
- AWS Cloud Technologies
- Experience working with enterprise data platforms, data engineering pipelines, and cloud-based analytics solutions.
- Familiarity with DevOps principles and deployment practices supporting analytics and AI solutions.
What Will Set You Apart:
- Strong business domain knowledge in pricing, procurement, engineering, or related commercial functions.
- Experience leading teams that span Data Science, Data Engineering, Analytics Engineering, and Machine Learning disciplines.
- Previous hands-on analytics experience solving a wide range of business challenges across the value chain, from data engineering and analytics to AI-enabled decision support.
- Experience building and scaling machine learning and AI solutions in enterprise environments.
- Hands-on experience with:
- AWS Bedrock
- Snowflake
- Dataiku
- Aha!
- Experience influencing organizational strategy and driving adoption of advanced analytics and AI capabilities.
- Experience operating in large, matrixed organizations with global stakeholders.
Additional Information:
- Location: Peoria, IL or Irving, TX
- Relocation Offered: Yes
- Sponsorship Offered: None
- Work Authorization: Candidates must be authorized to work in the United States now and in the future without employer sponsorship.
- Travel: Up to 10%
Summary Pay Range:
$147,760.00 - $240,110.00
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
Posting Dates:
June 22, 2026 - July 6, 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.
Not ready to apply? Join our Talent Community.
Skills Required
- Demonstrated experience leading and developing technical teams in Data Science, Data Engineering, Analytics Engineering, or Machine Learning
- Proven ability to partner with business leaders to prioritize initiatives and deliver measurable outcomes
- Exceptional verbal and written communication skills; ability to present to senior leaders
- Knowledge of advanced analytics, statistical modeling, machine learning, and AI principles
- Hands-on experience with Python
- Hands-on experience with SQL
- Hands-on experience with Snowflake
- Hands-on experience with AWS Cloud Technologies
- Experience with enterprise data platforms, data engineering pipelines, and cloud-based analytics solutions
- Familiarity with DevOps principles and deployment practices for analytics and AI solutions
- Ability to manage data quality, governance, controls, and accessibility for enterprise data assets
- Authorization to work in the United States without employer sponsorship
- Experience operating in large, matrixed organizations with global stakeholders
Caterpillar Compensation & Benefits Highlights
-
Healthcare Strength — Core benefits include medical, dental, vision, disability, life insurance, and an enhanced Employee Assistance Program with expanded mental health sessions and tools to help find high‑value care. Coverage breadth and plan options are emphasized for most full‑time roles.
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Retirement Support — A 401(k) savings plan with company match is broadly available, and some groups receive an additional age‑ or service‑based non‑elective annual contribution. Certain represented facilities also saw improved retirement contributions under a recent agreement.
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Strong & Reliable Incentives — Many roles participate in short‑term incentive or gainsharing programs, with regular bonuses described for full‑time employees. These incentives are positioned as a routine component of total compensation for eligible positions.
Caterpillar Insights
What We Do
Cat Digital is the digital and technology arm of Caterpillar Inc., responsible for bringing digital capabilities to our world-famous yellow iron. With over 1.5M connected assets worldwide, our teams use data, technology, advanced analytics and AI capabilities to help our customers build a better world.
Why Work With Us
The Cat Digital team is at the forefront of Caterpillar’s evolution. We take pride in solving complex problems by building new systems from the ground up. On our team, you’ll leverage data from across our entire enterprise to find solutions that open a new world of possibilities for our customers and dealers. Join us in building a better tomorrow.
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