Remote AI Transformation Leader – Defense Engines

GE Aerospace; Baltimore (MD); A distancia; USD 176.000 - 235.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Tuition assistance

Adoption assistance

Paid parental leave

Disability insurance

Life insurance

Paid time off

Descripción de la vacante

GE Aerospace is seeking a forward‑deployed Principal Data & AI Product Manager to own the lifecycle of data, analytics, and AI products that transform engine and spare-part delivery for the DES program. You will build a roadmap, partner with DT, and work with operators on real production data to move prototypes into production.

You will embed with planners, engineers, and shop leaders to ensure value realization, drive KPI improvements, and maintain data governance and security across the

Formación

• Bachelor’s degree in a technical field; 10+ years of professional IT experience preferred.
• Ability to travel; 10-50%. Legal authorization to work in the U.S. required.

Responsabilidades

• Own lifecycle for data, analytics, and AI products in the DES delivery transformation.
• Build and maintain the DES data/analytics roadmap and stakeholder alignment.
• Stand up self-service analytics for manufacturing, quality, and delivery data.
• Operationalize analytics/AI investments into production and business value.
• Lead risk management, data governance, and compliance within the portfolio.

Conocimientos

Strategic thinking

Stakeholder management

Cross-functional leadership

Educación

Bachelor’s degree in a technical field

Herramientas

Python

SQL

Data pipelines

Descripción del empleo

GE Aerospace is seeking a forward‑deployed Principal Data & AI Product Manager to own the lifecycle of data, analytics, and AI products that transform engine and spare-part delivery for the DES program. You will build a roadmap, partner with DT, and work with operators on real production data to move prototypes into production.

You will embed with planners, engineers, and shop leaders to ensure value realization, drive KPI improvements, and maintain data governance and security across the