Senior Service Technology & Data Manager (service Events & Insights)

Caterpillar of Australia

Peoria, IL, United States
Base: $147,760.00 - $221,640.00; bonus/equity: inc...
Onsite
Service events domain data governance
Smcs code standardization expertise
Dealer work order data quality management
Caterpillar Inc. is seeking a Senior Service Technology & Data Manager to oversee and enhance the management of global dealer service data, ensuring the delivery of actionable insights through data analysis and standardization. The role requires strong leadership in refining service event data and improving dealer performance, with an emphasis on customer satisfaction and relationship management

Job Summary

  • The role involves providing strategic leadership and direction for the analysis, structure, and storage of global dealer service data.
  • Caterpillar Inc. is a global team of makers and problem solvers creating stronger, more sustainable communities through innovation.
  • Benefits include medical, dental, vision, 401(k) savings plans, health savings accounts, and paid time off.

Matching Summary

Match Score: 85

Caterpillar Inc. is seeking a Senior Service Technology & Data Manager to oversee and enhance the management of global dealer service data, ensuring the delivery of actionable insights through data analysis and standardization. The role requires strong leadership in refining service event data and improving dealer performance, with an emphasis on customer satisfaction and relationship management.

Salary

Base: $147,760.00 - $221,640.00; Bonus/Equity: Incentive bonus available; Benefits: Medical, dental, vision, 401(k), HSA, FSA, paid time off

Skills & Requirements

Must-have

  • Service Events Domain data governance
  • SMCS code standardization expertise
  • Dealer Work Order data quality management
  • Global dealer service data strategy
  • Data definitions and usage guidance

Nice-to-have

  • Customer focus in business decisions
  • Relationship management with stakeholders
  • Strategic leadership for analysis methodology
  • Problem solving for operational issues
  • Technical excellence in application methods

Key Requirements

  • 4-year college degree in Business, Data Science, Engineering, Mathematics or related field
  • US work authorization required (no sponsorship)
  • Knowledge of data gathering and analysis tools

Work Rights

Must have US work authorization

Tailored Resume

Cover Letter