Senior Manager – Data Analytics

Caterpillar Inc.

Senior Manager for Data Analytics at Caterpillar Inc. Leading data quality strategies and teams to ensure trusted enterprise connectivity data.

Posted 6/3/2026full-timeMossville • Illinois • 🇺🇸 United StatesSenior💰 $147,760 - $240,110 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud Platform

About the role

Key responsibilities & impact

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.
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.
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.
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.

Requirements

What you’ll need

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

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data qualitydata governancedata engineeringdata pipelinesETLELTdata modelingautomated testingvalidation frameworksAI/ML techniques

Soft Skills

leadershipmentoringcollaborationcommunicationresource planningperformance coachingcontinuous improvementaccountabilityproblem-solvingteam building