AI Transformation Lead, Defense Engines & MRO

GE Aerospace; Waukesha (WI); Remote; USD 176,000 - 235,000; Full time

Job summary

GE Aerospace in the United States seeks a forward‑deployed AI/Data Analytics Product Manager to own the lifecycle of data and AI capabilities for engine and spare-part delivery. You will partner with operators, planners, and engineers to turn AI concepts into working prototypes on real production data.

You will lead the data/analytics roadmap, deploy self‑service capabilities, and drive production adoption while ensuring delivery metrics, inventory turns, and KPI improvements across the DES

Qualifications

• Hands-on builder with a forward-deployed engineering mindset and fluent in Python, SQL, or equivalent.
• Ability to move ideas across fidelity levels under time pressure from proof of concept to production.
• Ownership of data platform and analytics products at scale including ingestion, modeling, governance, and self-service consumption.
• Experience with modern analytics and AI including ML, retrieval, and agentic patterns and judgment on where to apply them.
• Working knowledge of manufacturing and MRO data systems (MES, ERP) and how data informs delivery decisions.

Responsibilities

• Own lifecycle planning, forecasting, and production for interdependent data and AI products.
• Build and maintain the DES data/analytics product roadmap aligned with output constraints.
• Stand up self-service analytics on manufacturing, quality, and delivery data for real-time decision making.
• Operationalize analytics investments and move prototypes into the operating model.
• Partner on data fabric and ontology adoption to ensure data is modeled once and reused.
• Take AI ideas from concept to working software with rapid prototypes and fast decisions.

Skills

Python

SQL

Data pipelines

AI/ML

Manufacturing data

Education

Bachelor’s degree or higher

Tools

MES

ERP

Job description

GE Aerospace in the United States seeks a forward‑deployed AI/Data Analytics Product Manager to own the lifecycle of data and AI capabilities for engine and spare-part delivery. You will partner with operators, planners, and engineers to turn AI concepts into working prototypes on real production data.

You will lead the data/analytics roadmap, deploy self‑service capabilities, and drive production adoption while ensuring delivery metrics, inventory turns, and KPI improvements across the DES