Caterpillar, Inc

Director, Data Analytics Engineering

Caterpillar, Inc$189K — $283K *
Enterprise Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related field.
  • 12+ years of experience in data engineering, analytics engineering, or related technical disciplines.
  • 5+ years of leadership experience managing large technical teams.
  • Proven track record in building and scaling enterprise data platforms and analytics capabilities.
  • Deep expertise in data quality, governance, and lifecycle management.

Responsibilities

  • Define and lead enterprise strategy for data foundation and readiness across analytics and AI.
  • Build sustainable capabilities ensuring accuracy, scalability, and accessibility of data products.
  • Establish enterprise standards for data quality, lineage, and certification.
  • Drive implementation of modern data quality practices in analytics and AI ecosystems.
  • Ensure high-quality data access for AI and analytics teams to encourage faster experimentation.

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)
  • Career Development
  • Tuition Reimbursement
  • Incentive bonus
Full Job Description
Career Area:
Technology, Digital and Data

Job Description:

CAT Digital, the division responsible for bringing technology and connected solutions to Caterpillar's world-famous yellow iron, is seeking a highly experienced and visionary Director, Data Analytics Engineering to lead the development and maturation of our enterprise Data Foundation & Readiness capabilities. This leader will be responsible for establishing the technical, operational, and governance frameworks that enable trusted, scalable, and reusable data assets for Analytics, Artificial Intelligence (AI), and Machine Learning (ML) solutions across the enterprise.

As CAT Digital accelerates its AI and analytics strategy, ensuring high-quality, production-ready data has become a critical differentiator. This leader will drive the transformation of how data is sourced, engineered, validated, monitored, and consumed for AI and analytics purposes to support rapid innovation while maintaining enterprise-grade reliability and governance.

The Director will lead a team of analytics engineering managers and partner closely with Data Engineering, AI/ML Engineering, Product Management, Architecture, Platform Engineering, and business stakeholders to establish consistent practices, reusable frameworks, and scalable operating models that accelerate delivery across the AI & Analytics portfolio.

This role requires a unique combination of technical depth, engineering leadership, organizational influence, and strategic vision.

What You Will Do

Establish Enterprise Data Foundation & Readiness Capability
  • Define and lead the enterprise strategy for the data foundation and readiness across analytics and AI solutions.
  • Build a sustainable capability that ensures data products and foundational datasets are accurate, discoverable, scalable, and AI-ready.
  • Establish enterprise standards for data quality, lineage, observability, validation, certification, and stewardship.
  • Develop reusable frameworks, accelerators, and engineering patterns that improve consistency across teams and AI use cases.
  • Create a roadmap that advances the maturity of data readiness capabilities and supports future AI ambitions.


Lead Data Quality Excellence
  • Own the vision and implementation of modern data quality practices across analytics and AI ecosystems.
  • Establish measurable data quality standards, policies, service-level objectives, and remediation processes.
  • Create reusable quality frameworks, severity models, monitoring capabilities, and operational controls.
  • Implement proactive data quality detection and prevention mechanisms rather than reactive issue management.
  • Drive adoption of data testing, data contracts, observability tooling, and automated quality controls throughout the development lifecycle.


Accelerate AI & Analytics Delivery
  • Ensure AI and analytics teams have consistent, trusted, and reusable access to high-quality data and engineered features.
  • Drive standardization of feature sourcing, feature management, and data servicing patterns for AI/ML use cases.
  • Reduce duplicated effort across teams through reusable assets, platforms, and shared engineering components.
  • Enable faster experimentation and iteration while maintaining quality, reliability, and governance standards.
  • Help transform how AI-enabled solutions move from concept to production.


Build Scalable Engineering Practices
  • Establish best practices for analytics engineering, testing, benchmarking, evaluation, deployment, and operational monitoring.
  • Drive engineering rigor across data pipelines, feature pipelines, semantic layers, and analytical products.
  • Implement scalable frameworks for validation and benchmarking of AI and analytics capabilities.
  • Improve production monitoring, operational visibility, and performance measurement of data products and AI solutions.
  • Partner with engineering leaders to define architecture standards and modernization strategies.


Drive Organizational Transformation
  • Clarify ownership and accountability across data, analytics, AI, and product teams.
  • Help evolve the operating model required to support modern AI and analytics delivery.
  • Promote AI-enabled ways of working and identify opportunities to increase team velocity through automation and intelligent tooling.
  • Foster a culture of engineering excellence, experimentation, continuous improvement, and learning.
  • Influence senior leaders across CAT Digital to adopt data-driven and AI-enabled practices.


Leadership & Talent Development
  • Lead, coach, and develop a high-performing team of Analytics Engineering leaders and their organizations.
  • Build organizational capabilities in analytics engineering, data quality engineering, and AI readiness.
  • Establish talent strategies, career frameworks, and technical growth opportunities.
  • Attract and retain top technical talent.
  • Serve as a trusted advisor and thought leader across CAT Digital.


What Success Looks Like

Within the first 12-24 months, this leader will:
  • Establish a clearly defined data readiness capabilities for AI and analytics across CAT Digital.
  • Deliver enterprise-wide smart data quality tools and frameworks to improve quality for AI
  • Improve consistency and reuse of data assets supporting AI and analytics initiatives.
  • Reduce data-related production issues and accelerate issue resolution.
  • Increase trust, adoption, and reuse of enterprise data assets.
  • Improve AI and analytics solution delivery speed through stronger foundational capabilities.
  • Create a measurable maturity model for Data Quality and AI Readiness.
  • Enable faster experimentation and deployment of AI-powered solutions.


What You Have
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related field.
  • 12+ years of progressive experience in data engineering, analytics engineering, software engineering, analytics platforms, or related technical disciplines.
  • 5+ years leading managers and large technical teams.
  • Experience building and scaling enterprise data platforms and analytics capabilities.
  • Deep expertise in data quality, data governance, data observability, and data lifecycle management.
  • Experience supporting AI/ML, advanced analytics, and digital product ecosystems.
  • Demonstrated success leading enterprise transformation initiatives.
  • Strong understanding of cloud data platforms, modern data architectures, and engineering best practices.
  • Proven ability to influence senior executive stakeholders.


Top Candidates Will Also Have
  • Advanced degree in Computer Science, Engineering, Data Science, Analytics, or related field.
  • Expertise with modern cloud-based analytics ecosystems.
  • Experience implementing data quality frameworks, data contracts, cataloging, lineage, and observability platforms.
  • Experience supporting MLOps, AI platforms, feature stores, and production AI solutions.
  • Familiarity with product operating models, agile delivery, and platform engineering concepts.
  • Experience leading large-scale modernization efforts in complex enterprise environments.


Summary Pay Range:

$189,080.00 - $283,630.00

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:
August 11, 2026 - August 17, 2026

About Caterpillar, Inc

Progress Rail Services Corporation, a Caterpillar company, is one of the largest integrated and diversified suppliers of railroad and transit system products and services worldwide. Since its acquisition by Caterpillar Inc. in 2006, Progress Rail has used the Caterpillar international footprint to gain quick and widespread notice and approval across the globe. Product technology, reliability and durability, along with legendary aftermarket parts and service support, have been their keys to success. Caterpillar is the world's leading manufacturer of construction and mining equipment, diesel and natural gas engines and industrial gas turbines. The technology and world reach of Caterpillar, combined with the service standard and historical reliability of Progress Rail, ensures their products and services make a growing impact on the world rail industry. With their acquisition of Electro-Motive Diesel (EMD), Progress Rail is the world's largest builder of diesel-electric locomotives for all commercial railroad applications including freight, intercity passenger, commuter, switching, industrial and mining. EMD is also a global provider of diesel power engines for marine propulsion, offshore and land based oil well drilling rigs and stationary power generation. Electro-Motive is the only diesel engine manufacturer of its size to have produced more than 70,000 engines. This success stems from product reliability, serviceability, load acceptance capability, low operating costs and ease of maintenance with standardized components.

Caterpillar, Inc. Careers

Join the robust team at Caterpillar, Inc., a global leader in construction and mining equipment, where innovation drives everything we do. As part of our team, you'll engage in work that improves the world and furthers your career with every project you touch.

Work You’ll Do

At Caterpillar, Inc., you will have the opportunity to contribute to a variety of groundbreaking projects that extend across the globe. Our commitment to leadership in the industry is unwavering, and we achieve it through a culture that fosters diversity and leadership development.

Explore Job Opportunities and Growth

Caterpillar offers a wide range of job opportunities and career paths, providing a platform for professional growth and development. Whether you're interested in engineering, sales, marketing, or management, Caterpillar has a position that will utilize your unique skills and talents. We are continuously hiring innovative minds to propel our mission forward and maintain our status as industry leaders.

Internship Programs

Kickstart your career with a Caterpillar internship. Our internships provide invaluable workplace experience and networking opportunities that often lead to full-time employment at our company. As an intern, you will work alongside experienced professionals and gain insights that will benefit you as you advance in your career.

Benefits and Culture

Choosing a career at Caterpillar means more than just having a job. It means you're part of a team that values diversity and is committed to creating an inclusive environment. We offer competitive benefits to ensure the health and well-being of our employees and their families. These benefits include health insurance, retirement plans, and paid time off, alongside unique perks like professional development and diversity training programs.

Innovation and Leadership

Drive innovation and industry leadership as part of the Caterpillar team. We empower our employees to lead from their first day on the job, encouraging continuous improvement and career advancement. At Caterpillar, your ideas will shape the future of our business and the industries we serve.

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Prepare for Your Interview

Make a great first impression. Prepare for your interview at Caterpillar by reviewing common questions and practicing your responses. Tailor your resume to highlight the experiences and skills that make you the ideal candidate for the position you are applying for. At Caterpillar, Inc., every role offers the chance to make an impact. Come be a part of our team and drive the future of our global industries. Your career at Caterpillar is not just about what you'll accomplish, but how you'll grow and the innovation you'll lead. Join us and build a career that matters.
Learn more about Caterpillar, Inc
Size
107,700 employees
Market Cap
$125.3 billion
Industry
Net Income
$2.9 billion
Founded
1925
5 Year Trend
+5.8%
Revenue
$41.7 billion
NASDAQ

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