Remote AI Transformation Leader - Defense Engines

GE Aerospace; San Ramon (CA); A distancia; USD 176.000 - 235.000; Jornada completa

Descripción de la vacante

GE Aerospace in the United States is seeking a forward-deployed leader to own the data, analytics, and AI products driving the DES delivery transformation. You will work with operators, planners, and engineers to translate needs into self-service analytics, develop a product roadmap, and push prototypes into production on real production data.

The role emphasizes hands-on development, data governance, and collaboration with DT teams to ensure consistent data models and scalable analytics across

Formación

• Hands-on builder with a forward-deployed engineering mindset producing working data artifacts (pipelines, ontology, notebooks, and interfaces).
• Fluent in Python, SQL, or equivalent for data & AI work.
• Strong ability to move ideas from concept to working software across fidelity levels.
• Experience owning data platforms and advanced analytics at scale.
• Understanding of Lean Six Sigma and daily management principles.

Responsabilidades

• Own lifecycle planning, forecasting, and production data for multiple AI/analytics products within the DES delivery transformation.
• Build and maintain the DES data and analytics product roadmap aligned to output constraints.
• Stand up self-service analytics on manufacturing and delivery data for planners and shop leaders.
• Operationalize analytics investments and move prototypes into production within the operating model.
• Partner with central DT and Enterprise Data on data fabric adoption and reuse across products.

Descripción del empleo

GE Aerospace in the United States is seeking a forward-deployed leader to own the data, analytics, and AI products driving the DES delivery transformation. You will work with operators, planners, and engineers to translate needs into self-service analytics, develop a product roadmap, and push prototypes into production on real production data.

The role emphasizes hands-on development, data governance, and collaboration with DT teams to ensure consistent data models and scalable analytics across