AI Transformation Lead, Defense Engines & MRO (Remote)

GE Aerospace; Lafayette (CO); Remote; USD 176,000 - 235,000; Full time

Job summary

GE Aerospace is seeking a forward-deployed product leader to own the data, analytics, and AI capability for the DES delivery transformation, spanning new engine production and MRO. You will partner with planners, operators, and engineers to turn AI ideas into working prototypes on real production data, guiding the portfolio toward DES KPIs such as on-time delivery and spare-part output.

This role requires in-person attendance for Day 1 orientation and is a remote position with travel up to 50%

Qualifications

• Bachelor’s degree from an accredited university or college with significant IT experience.
• Minimum 8 years of professional IT experience; military experience considered equal.
• Willing to travel 10–50% and able to obtain U.S. export-controlled information access.
• Proficiency in Python, SQL, ML concepts, and modern analytics/AI patterns.

Responsibilities

• Own all aspects of lifecycle for data, analytics, and AI products within the DES delivery program.
• Build and maintain the DES data and analytics product roadmap aligned to output constraints.
• Stand up self-service data analytics for manufacturing, quality, and delivery data.
• Operationalize analytics and AI investments inside the operating model for production use.
• Lead risk management, data governance, and responsible AI within the portfolio.

Skills

Python

SQL

AI/ML concepts

Forward-deployed engineering mindset

Education

Bachelor’s degree or higher

Associates degree with 13 years of professional experience

High School Diploma with 15 years of professional experience

Tools

MES

ERP

Data pipelines

Ontology and semantic models

Job description

GE Aerospace is seeking a forward-deployed product leader to own the data, analytics, and AI capability for the DES delivery transformation, spanning new engine production and MRO. You will partner with planners, operators, and engineers to turn AI ideas into working prototypes on real production data, guiding the portfolio toward DES KPIs such as on-time delivery and spare-part output.

This role requires in-person attendance for Day 1 orientation and is a remote position with travel up to 50%