Remote AI Transformation Leader for Defense Engines

GE Aerospace; Shawnee (OK); Remote; USD 176.000 - 235.000; Vollzeit

Benefits dieser Stelle

Health benefits

401(k)

Tuition assistance

Paid time off

Parental leave

Zusammenfassung

GE Aerospace seeks a data, analytics, and AI product leader in the United States to own the lifecycle for multiple interdependent products spanning new engine production and MRO, driving the DES delivery transformation.

You will partner with planners, operators, and engineers to build digital capability, moving AI-enabled ideas from concept to working prototypes on real production data, with frequent in-person orientation on Day 1.

Qualifikationen

• Bachelor’s degree required; 10+ years overall IT experience preferred.
• Minimum 8 years IT experience; military experience equivalent.
• Legal authorization to work in the U.S.; travel 10–50%.

Aufgaben

• Own all aspects of lifecycle for multiple data/AI products delivering DES transformation.
• Build and maintain the data/analytics product roadmap aligned to output constraints.
• Stand up self-service analytics on manufacturing, quality, and delivery data.
• Operationalize analytics investments and move prototypes into production.
• Partner with DT/Enterprise Data on data fabric and ontology adoption.
• Take AI ideas from concept to working software with fast feasibility testing.
• Embed with operators and engineers on the shop floor and iterate quickly.
• Lead risk management including export control, cybersecurity, and data governance.
• Influence leadership to align digital spend with value stream priorities.
• Set data/AI standards across the DES horizontal.

Kenntnisse

Python

SQL

Machine learning

LLM

Retrieval

Agentic AI

Data pipelines

Ausbildung

Bachelor’s degree in IT/CS

Associates with 13+ years experience

High School Diploma with 15 years experience

Tools

Jupyter Notebooks

MES

ERP

Jobbeschreibung

GE Aerospace seeks a data, analytics, and AI product leader in the United States to own the lifecycle for multiple interdependent products spanning new engine production and MRO, driving the DES delivery transformation.

You will partner with planners, operators, and engineers to build digital capability, moving AI-enabled ideas from concept to working prototypes on real production data, with frequent in-person orientation on Day 1.