AI Transformation Leader for Defense Engines & MRO

GE Aerospace; Trevose (PA); Remote; USD 176.000 - 235.000; Vollzeit

Zusammenfassung

GE Aerospace is seeking a forward-deployed product leader to own the data, analytics, and AI capabilities transforming defense engine and spare-part delivery. You will work with planners, operators, and engineers to move AI-enabled ideas from concept to production-worthy prototypes on real data.

You will lead the end-to-end lifecycle, partner across DT and Enterprise Data, and embed with Genba teams to ensure the capability is used in operations and delivers measurable value.

Qualifikationen

• Hands-on builder with a forward-deployed mindset and ability to produce working artifacts.
• Fluency in Python, SQL, or equivalent for data pipelines and analytics.
• Experience working with data fabrics, ontologies, and analytics platforms is a plus.
• Strong communication and leadership skills in a multi-stakeholder environment.

Aufgaben

• Own lifecycle planning, forecasting, and production for data/AI products forming the DES delivery program.
• Build and maintain the DES data and analytics roadmap, align with constraints and stakeholders.
• Stand up self-service analytics for manufacturing, quality, and delivery data.
• Operationalize advanced analytics and AI prototypes into the operating model.
• Partner with DT and Enterprise Data on data fabric adoption for reuse across products.
• Translate ideas into working software with rapid prototyping to validate feasibility.
• Embed with operators and engineers to stay on problem until capability is in use.

Kenntnisse

Python

SQL

Data analytics

AI/ML knowledge

Systems thinking

Ausbildung

Bachelor's degree in a relevant field

Jobbeschreibung

GE Aerospace is seeking a forward-deployed product leader to own the data, analytics, and AI capabilities transforming defense engine and spare-part delivery. You will work with planners, operators, and engineers to move AI-enabled ideas from concept to production-worthy prototypes on real data.

You will lead the end-to-end lifecycle, partner across DT and Enterprise Data, and embed with Genba teams to ensure the capability is used in operations and delivers measurable value.