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MTO Manufacturing Software Leader

Job in Cincinnati, Hamilton County, Ohio, 45246, USA
Listing for: GE Aerospace
Full Time position
Listed on 2026-05-09
Job specializations:
  • IT/Tech
    Data Science Manager, Data Engineer
Job Description & How to Apply Below
Job Description Summary

This role leads development and deployment of data and software-enabled manufacturing solutions for engine overhaul and repair operations across GE Aerospace's global MRO network. The MTO Manufacturing Software Leader combines manufacturing engineering depth with hands-on software and data product capability to deliver measurable improvements in yield, cycle time, quality, and productivity. This position owns high-impact digital workflows in areas such as AI-enabled material forecasting applications, Databricks-based repair data products, SAP router/work center digital alignment, and digital inspection or automated defect-recognition solutions.

Success requires strong customer empathy, rapid problem-solving, and the ability to lead cross-functional teams from prototype through scaled deployment.

Job Description

Role Overview :

* Lead strategic digital manufacturing initiatives that improve overhaul and repair outcomes in MRO shop environments.

* Design, build, and manage web applications that operationalize AI models (including material forecasting) for daily shop and planning use.

* Build and govern Databricks data products and catalogs for repair operational data (including rework and quality dashboards).

* Drive consistent digital alignment of routers and work center IDs in SAP and related systems to improve data integrity and execution accuracy.

* Create and lead blended delivery teams (internal talent and external contractors) to deliver production-ready software solutions for manufacturing workflows.

* Partner with CES Data fabric, Data Science, MRO DT, Operations, and Engineering teams to translate business pain points into deployable technical products.

* Develop high-fidelity prototypes, run pilot testing with shop users, and convert successful pilots into scalable network solutions.

* Establish standard technical patterns, documentation, and governance to enable repeatable deployment across global MRO sites.

* Lead operating rhythms and execution reviews; track milestones, adoption, and business impact metrics, and provide decision-ready updates to leadership.

* Drive adoption and sustainment of deployed tools through training, feedback loops, and continuous improvement cycles.

* Apply Lean and manufacturing engineering principles to ensure digital solutions improve process capability, not just system complexity.

* Create project charters, integrated timelines, risk plans, and action trackers; remove roadblocks and drive on-time delivery.

Basic Qualifications:

* Bachelor's degree in Engineering, Computer Science, Information Systems, Data Science, or related technical field from an accredited university with a minimum of 7 years' experience in software development, data engineering, manufacturing engineering, MRO operations, or digital product delivery

OR

* Master's degree in Engineering, Computer Science, Information Systems, Data Science, or related technical field with a minimum of 5 years' experience in software development, data engineering, manufacturing engineering, MRO operations, or digital product delivery

* Willingness to travel approximately 6 times per year to global MRO sites

Preferred Qualifications:

* Humble: respectful, receptive, agile, and eager to learn

* Transparent: shares critical information, speaks with candor, and contributes constructively

* Focused: quick learner, strategically prioritizes work, and stays committed to outcomes

* Leadership ability: strong communicator, decision-maker, and collaborative team builder

* Problem solver: analytical, systems-minded, and willing to challenge legacy processes

* Strong full-stack web application development capability with ability to deliver maintainable, production-grade solutions

* Strong data engineering experience, including building governed data products and data models in platforms such as Databricks

* Experience operationalizing AI/ML solutions from prototype to production, including monitoring and lifecycle management

* Ability to balance hands-on technical execution with team leadership (hybrid builder-leader model)

* Demonstrated ability to work effectively in manufacturing, repair, or other operationally…
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