Defense Engines AI Transformation Lead (Remote)

GE Aerospace; Montpelier (VT); À distance; USD 176 000 - 235 000; Plein temps

Avantages offerts par ce poste

Health benefits

401(k) match

Tuition assistance

Résumé du poste

GE Aerospace seeks a forward-deployed, data and AI product leader to own the lifecycle of multiple analytics products for Defense Engines & Services. You will partner with planners, operators, and engineers to turn AI ideas into working prototypes on real production data, ensuring delivery metrics improve across engine and spare-part output.

You will build a cross-functional roadmap, enable self-service analytics, and advance prototypes into production while mentoring teams in lean and

Qualifications

• Hands-on builder with Python/SQL and data pipelines experience.
• Ability to move ideas from POC to production across data/AI products.
• Experience owning data platforms and advanced analytics at scale.

Responsabilités

• Own lifecycle for multiple data/AI products from planning to production.
• Build and manage the DES data/analytics product roadmap.
• Stand up self-service data/analytics for manufacturing and delivery data.
• Operationalize analytics investments and move prototypes into production.
• Mentor teams on systems thinking and lean product practices.

Connaissances

Python

SQL

Data pipelines

Analytics

Machine learning

LLM / agentic AI

Systems thinking

Lean Six Sigma

Formation

Bachelor’s degree

Associates degree + extensive experience

Outils

MES

ERP

Self-service BI

Description du poste

GE Aerospace seeks a forward-deployed, data and AI product leader to own the lifecycle of multiple analytics products for Defense Engines & Services. You will partner with planners, operators, and engineers to turn AI ideas into working prototypes on real production data, ensuring delivery metrics improve across engine and spare-part output.

You will build a cross-functional roadmap, enable self-service analytics, and advance prototypes into production while mentoring teams in lean and