Engineering Manager, Data Quality & AI/ML Validation

Caterpillar Inc.; Mossville (IL); On-site; USD 148,000 - 240,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401(k) plans

Paid time off

Job summary

Caterpillar Inc. is seeking an Engineering Manager - Data Quality to lead a high‑performing team and own data quality across enterprise platforms and products. You will drive scalable validation, anomaly detection, and quality by design in pipelines and APIs.

You will partner with architecture, data engineering, analytics, and product teams to enable trusted data for analytics, AI/ML models, and business decisions, while advancing a culture of continuous improvement.

Qualifications

• 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
• 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)

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

Leadership

Data quality

Education

Bachelor's or Master's degree in CS/SE/Data Eng or related field

Tools

Kafka

CI/CD pipelines

Job description

Caterpillar Inc. is seeking an Engineering Manager - Data Quality to lead a high‑performing team and own data quality across enterprise platforms and products. You will drive scalable validation, anomaly detection, and quality by design in pipelines and APIs.

You will partner with architecture, data engineering, analytics, and product teams to enable trusted data for analytics, AI/ML models, and business decisions, while advancing a culture of continuous improvement.