Engineering Manager — Data Quality & AI Lead

Caterpillar Financial Services Corporation; Mossville (IL); On-site; USD 148,000 - 240,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401(k) savings plans

Paid time off

Tuition Reimbursement

Job summary

Caterpillar Inc. is seeking an Engineering Manager - Data Quality to lead a high-performing team focused on ensuring accuracy, integrity, and reliability of enterprise data across platforms.

You will drive data quality frameworks, automated pipelines, and governance to enable analytics and AI/ML initiatives. The role collaborates with software and data engineering, analytics, product management, and governance teams to design scalable quality solutions and a culture of continuous improvement.

Qualifications

• Bachelor’s or master’s degree in computer science, software engineering, data engineering, or related field.
• AI/ML-based data quality monitoring experience preferred.
• Experience with streaming data platforms and data governance.

Responsibilities

• Lead the data quality strategy for connected asset data across enterprise platforms and products.
• Establish standard data quality frameworks, rules, and KPIs such as accuracy, completeness, timeliness, and consistency.
• Design scalable validation, monitoring, and anomaly detection solutions for enterprise data.
• Embed data quality controls into pipelines, APIs, and platform architecture from the start.
• Partner with architecture teams to ensure data quality by design in system development.
• Drive AI/ML adoption for data profiling, anomaly detection, and root cause analysis.
• Implement automated quality checks within CI/CD and data pipelines to improve efficiency and coverage.
• Lead and develop a team of data quality engineers and analysts, building strong technical and quality capabilities.
• Promote a culture of quality, accountability, and continuous improvement through coaching and people leadership.
• Collaborate across engineering, analytics, product, and platform teams to define requirements, support releases/NPI, resolve defects, and communicate quality health and risks to leadership.

Skills

Data pipelines

ETL/ELT frameworks

Cloud platforms

Data quality governance

AI/ML data quality monitoring

Kafka

Education

Bachelor’s or Master’s degree in computer science, software engineering, data engineering, or related field

Tools

Kafka

Job description

Caterpillar Inc. is seeking an Engineering Manager - Data Quality to lead a high-performing team focused on ensuring accuracy, integrity, and reliability of enterprise data across platforms.

You will drive data quality frameworks, automated pipelines, and governance to enable analytics and AI/ML initiatives. The role collaborates with software and data engineering, analytics, product management, and governance teams to design scalable quality solutions and a culture of continuous improvement.