Remote AI Transformation Leader for Defense Engines

GE Aerospace; Cheyenne (WY); Remote; USD 176,000 - 235,000; Full time

Job summary

GE Aerospace is seeking a forward-deployed Product Manager to own the data, analytics, and AI capability transforming Defense Engines & Services delivery. You will lead the product vision, roadmap, and end-to-end lifecycle for multiple interdependent data/AI products tied to engine production and MRO.

You will embed with operators, planners, and engineers, turning AI ideas into working software on real production data. A Day-1 in-person New Hire Orientation is required.

Qualifications

• Hands-on builder with a forward-deployed engineering mindset.
• Demonstrated ownership of data platform and advanced analytics products at scale.
• Fluent in modern analytics and AI, including machine learning and agentic patterns.
• Working knowledge of MES/ERP data and shop-floor technology.

Responsibilities

• Own all aspects of lifecycle (planning, forecasting, production) for interdependent data/AI products.
• Build and maintain the DES data/analytics product roadmap and secure stakeholders.
• Stand up self-service data/analytics on manufacturing, quality and delivery data.
• Operationalize and sustain value from advanced analytics and AI investments.
• Partner with central DT and Enterprise Data on data fabric and ontology adoption.
• Take AI ideas from concept to working software with proofs and prototypes.
• Embed with operators, planners, and engineers on the shop floor to stay on problem.

Skills

Python

SQL

Data platforms

AI/ML

Manufacturing data

Data governance

Education

Bachelor’s degree in a related field

Associates degree with 13+ years

High School Diploma with 15+ years

Tools

Python

SQL

Job description

GE Aerospace is seeking a forward-deployed Product Manager to own the data, analytics, and AI capability transforming Defense Engines & Services delivery. You will lead the product vision, roadmap, and end-to-end lifecycle for multiple interdependent data/AI products tied to engine production and MRO.

You will embed with operators, planners, and engineers, turning AI ideas into working software on real production data. A Day-1 in-person New Hire Orientation is required.