Remote AI Transformation Leader for Defense Engines

GE Aerospace; Houston (TX); Remote; USD 176,000 - 235,000; Full time

Job summary

GE Aerospace in Houston is seeking a high-impact, forward-deployed product leader for data, analytics, and AI within the Defense Engines & Services portfolio. You will own the vision, roadmap, and end-to-end lifecycle from demand through fulfillment using real production data and working closely with planners, operators, and engineers.

You will collaborate with central DT and Enterprise Data to advance data fabric, stand up self-service analytics, and move proven prototypes into production,

Qualifications

• Hands-on builder with a forward-deployed engineering mindset.
• Proven ability to move ideas across fidelity levels under time pressure.
• Ownership of data platform and advanced analytics products at scale.
• Fluent in modern analytics and AI, including machine learning and large language models.
• Working knowledge of manufacturing and MRO data and systems (MES/ERP/quality).
• Deep technology and domain expertise to influence product design.
• Knowledge of Lean Six Sigma principles (Green Belt or equivalent).
• Willingness to travel; 10–50%.

Responsibilities

• Own all aspects of the lifecycle (planning, forecasting, production) for multiple data/AI products within the DES delivery transformation program.
• Build and maintain the DES data/analytics product roadmap and secure stakeholders.
• Stand up self-service data/analytics on manufacturing, quality, and delivery data for real-time decision making.
• Operationalize and sustain value from analytics/AI investments and move prototypes into production.
• Partner with central DT/Enterprise Data on data fabric and ontology adoption.

Skills

Python

SQL

Data pipelines

Lean Six Sigma

Job description

GE Aerospace in Houston is seeking a high-impact, forward-deployed product leader for data, analytics, and AI within the Defense Engines & Services portfolio. You will own the vision, roadmap, and end-to-end lifecycle from demand through fulfillment using real production data and working closely with planners, operators, and engineers.

You will collaborate with central DT and Enterprise Data to advance data fabric, stand up self-service analytics, and move proven prototypes into production,