Manager, Analytics & Data Engineering

Caterpillar
Peoria, IL
Category Engineering
Job Description
Role Overview

Lead a global team of data scientists, data engineers, and machine learning professionals to deliver scalable analytics and AI solutions. Partner with business leaders to identify and execute high-impact opportunities. Drive the adoption of advanced analytics and AI capabilities across the organization.

What You Will Do

Lead a global team, develop technical teams, partner with business stakeholders, drive adoption of advanced analytics, provide leadership and coaching, translate complex business challenges into scalable data solutions, manage key enterprise data assets, lead continuous improvement initiatives, and monitor business performance metrics.

Why It Might Be a Fit

Strong business domain knowledge, experience leading teams, hands-on analytics experience, experience building and scaling machine learning and AI solutions, and experience influencing organizational strategy.

Requirements

  • Leadership & Business Partnership
  • Demonstrated experience leading and developing technical teams
  • Proven ability to partner with business leaders to prioritize initiatives
  • Experience influencing cross-functional teams
  • Exceptional verbal and written communication skills
  • Proven ability to present recommendations and insights to senior leaders
  • Strong executive presence
  • Knowledge of advanced analytics, statistical modeling, machine learning, and AI principles
  • Ability to apply analytical thinking and problem-solving techniques
  • Hands-on experience with Python, SQL, Snowflake, and AWS Cloud Technologies
  • Experience working with enterprise data platforms, data engineering pipelines, and cloud-based analytics solutions
  • Familiarity with DevOps principles and deployment practices

Benefits

  • Medical, dental, and vision benefits
  • Paid time off plan
  • 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
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