Remote AI Transformation Leader - Defense Engines & MRO

GE Aerospace; Anchorage (AK); Remote; USD 176.000 - 235.000; Vollzeit

Zusammenfassung

GE Aerospace seeks a forward-deployed product leader for data, analytics, and AI within the Defense Engines & Services portfolio. You will own the product vision, roadmap, and end-to-end lifecycle for capabilities that transform engine and spare-part delivery on real production data.

You will embed with operators and planners, build self-service analytics, and move AI-enabled ideas from concept to working software.

Qualifikationen

• Bachelor’s degree with 8+ years IT experience or equivalent
• Experience with data platforms, analytics and AI
• Willingness to travel 10-50%
• U.S. work authorization required

Aufgaben

• Own lifecycle for data, analytics, and AI products across the DES delivery transformation program
• Build and maintain the DES data analytics roadmap and identify stakeholders
• Stand up self-service data analytics for manufacturing, quality and delivery data
• Operationalize value from analytics and AI investments into production
• Partner with central DT and Enterprise Data on data fabric and ontology adoption
• Move AI ideas from concept to working software and test with real production data
• Embed with operators and planners on Genba and stay with the problem
• Define value case and report outcomes against DES measures
• Lead risk management including export control and cybersecurity
• Mentor product managers and engineers in systems thinking and lean practices

Kenntnisse

Strategic product leadership

Executive communication

Lean Six Sigma knowledge

Ausbildung

Bachelor’s degree or higher

Tools

Python

SQL

Jobbeschreibung

GE Aerospace seeks a forward-deployed product leader for data, analytics, and AI within the Defense Engines & Services portfolio. You will own the product vision, roadmap, and end-to-end lifecycle for capabilities that transform engine and spare-part delivery on real production data.

You will embed with operators and planners, build self-service analytics, and move AI-enabled ideas from concept to working software.