Onsite Depot Configuration Data Manager

Prattwhitney

East Hartford (CT)

On-site

USD 108,000 - 205,000

Full time

7 days ago
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Benefits offered by this job

Medical, dental, vision
401(k) match
Paid time off
Flexible schedules

Job summary

RTX / Pratt & Whitney Military Engines is seeking a senior Configuration Data Management team lead to manage day-to-day depot data operations and ensure master data integrity within SAP. You will guide cross-functional teams across CONUS/OCONUS DEPOTs, drive improvements to the SAP configurator, and define data strategies for new engine variants.

A training curriculum and KPI framework will be established to measure success.

Qualifications

  • BS/BA degree in engineering or related field.
  • 8 years of experience reviewing technical data, large datasets, or enterprise applications (or 5 years with Advanced degree).
  • 2 years of experience with turbine engine maintenance methods or depot overhaul support.
  • U.S. citizenship required for security clearance eligibility.

Responsibilities

  • Manage day-to-day activities and collaborate with cross-functional teams to resolve configuration data issues raised by CONUS and OCONUS DEPOTs.
  • Work with Quality, Materials, PME, PE, DT, and SAP SMEs to implement SAP configurator improvements that meet program needs.
  • Define a strategy to incorporate data for new engine variants (600A, ECU).
  • Establish a training curriculum, skill matrix, and proficiency levels for the team.
  • Leverage the CORE OS to define and maintain KPI metrics aligned with program objectives.

Skills

Data management
Team leadership
SAP configuration
Python

Education

BS/BA degree
Master’s degree (preferred)

Tools

SAP
Python

Job description

RTX / Pratt & Whitney Military Engines is seeking a senior Configuration Data Management team lead to manage day-to-day depot data operations and ensure master data integrity within SAP. You will guide cross-functional teams across CONUS/OCONUS DEPOTs, drive improvements to the SAP configurator, and define data strategies for new engine variants.

A training curriculum and KPI framework will be established to measure success.

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