Manager Engineering Transformation

Caterpillar

Manager Engineering Transformation

Posted An Hour Ago

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Peoria IL USA

Hybrid

148K-240K Annually

Senior level

Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial

Cat Digital uses digital technologies to help Caterpillar Inc. customers build a better more sustainable world.

The Role

The Engineering Transformation Manager leads teams to ensure data quality and integrates automated quality solutions collaborating with various engineering and product teams.

Summary Generated by Built In

Career Area:
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.
The Engineering Manager - Data Quality leads a high-performing team responsible for ensuring the accuracy integrity consistency and reliability of enterprise connectivity data across platforms and products. This role combines technical leadership people management and data governance ownership to enable high-quality trusted data that supports analytics AI/ML models and business decision-making.
The manager collaborates closely with software engineering data engineering analytics product management telecom and governance teams to establish scalable data quality frameworks automated validation pipelines and compliance-aligned processes across the data lifecycle.
What You Will Do:
Data Quality Strategy & Technical Leadership

Define and lead enterprise connected asset (Machines & Engines) data quality strategy aligned to business objectives and platform architecture.
Establish standardized data quality frameworks rules and metrics (completeness accuracy timeliness consistency).
Design and implement scalable data validation monitoring and anomaly detection solutions.
Ensure integration of data quality controls within data pipelines APIs and platforms.
Partner with architecture teams to embed data quality by design in system development.

AI-Enabled Data Quality & Automation

Drive adoption of AI/ML techniques for data profiling anomaly detection and root cause analysis.
Implement automated data quality checks within CI/CD and data pipelines.
Enable predictive data quality monitoring using telemetry logs and metadata insights.
Improve efficiency and coverage through automation and intelligent rule generation.

People & Organizational Leadership

Build mentor and lead a team of data quality engineers and analysts.
Develop capabilities in data engineering automation and quality engineering practices.
Foster a culture of quality accountability and continuous improvement.
Manage resource planning hiring performance coaching and career development.

Cross-Functional Collaboration & Program Execution

Collaborate with software engineering data engineering analytics and product teams to define quality requirements and SLAs.
Partner with program and platform teams to ensure data quality readiness for releases and NPI programs.
Drive issue resolution workflows and root cause analysis for data defects.
Communicate data quality health metrics and risks to leadership.

What You Will Have:

Bachelor's or Master's degree in Computer Science Software Engineering Data Engineering or related field
8+ years of experience in software/data engineering with 2-5 years in leadership roles
Strong experience in data quality data governance and data engineering ecosystems
Hands-on experience with data pipelines ETL/ELT frameworks and cloud platforms (Azure AWS or GCP)
Knowledge of data modeling metadata management and data lineage tools
Experience implementing automated testing and validation frameworks for data systems

Top Candidates Will Have:

Experience with AI/ML-based data quality monitoring
Familiarity with streaming data platforms (Kafka event-driven architectures)
Exposure to regulated environments (industrial manufacturing healthcare finance)
Knowledge of CI/CD pipelines and DevOps for data platforms

Technical leadership in data systems and quality engineering
Strong understanding of data governance and compliance frameworks
Analytical thinking and root cause problem solving
Stakeholder management and cross-functional collaboration
Ability to translate business needs into data quality KPIs and measurable outcomes

Additional Skills:

This position requires the candidate to be based in Peoria ILL.
Relocation assistance is available for this position
Visa sponsorship is NOT available for this position
LI#
Posting Dates: 6/1-6/19/26

Summary Pay Range:
$147760.00 - $240110.00
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:
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

Bachelor's or Master's degree in Computer Science Software Engineering Data Engineering or related field
8+ years of experience in software/data engineering
2-5 years in leadership roles
Strong experience in data quality data governance and data engineering ecosystems
Hands-on experience with data pipelines ETL/ELT frameworks and cloud platforms (Azure AWS or GCP)
Knowledge of data modeling metadata management and data lineage tools
Experience implementing automated testing and validation frameworks for data systems

What the Team is Saying

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.
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.
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.

Learn more about Caterpillar's Compensation & Benefits →

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The Company

HQ: Irving TX

100000 Employees

Year Founded: 1925

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.