Forward-Deployed AI Transformation Lead - Defense Engines

GE Aerospace

Imperial (PA)

Remote

USD 176,000 - 235,000

Full time

13 days ago

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Job summary

GE Aerospace is seeking a forward-deployed leader to own the lifecycle of data, analytics, and AI products for Defense Engines & Services. You will drive the product vision, roadmap, and value realization across manufacturing, quality, and delivery data, working closely with operators, planners, and engineers on real production data.

You will embed with Genba teams to move AI-enabled ideas from concept to prototypes and into production, while aligning with enterprise data standards and

Qualifications

  • Bachelor’s degree or higher in a related field; travel 10-50% as needed.
  • Demonstrated experience with data analytics, AI, and data platforms.
  • Experience in manufacturing data environments (MES/ERP) is a plus.
  • Strong communication and leadership for cross-functional teams.
  • Ability to translate business problems into data-driven product bets.

Responsibilities

  • Own lifecycle for multiple data, analytics, and AI products within the DES delivery transformation program.
  • Build and maintain the DES data and analytics product roadmap and secure stakeholders.
  • Stand up self-service data and analytics on manufacturing, quality, and delivery data.
  • Operationalize analytics investments and move prototypes into production.
  • Lead risk management and ensure data governance and security.

Skills

Python
SQL
Data pipelines
AI/ML
Data governance
Lean Six Sigma
Manufacturing data
Self-service analytics
Forward-deployed

Education

Bachelor’s degree from accredited university or college
Associates degree
High School Diploma

Job description

GE Aerospace is seeking a forward-deployed leader to own the lifecycle of data, analytics, and AI products for Defense Engines & Services. You will drive the product vision, roadmap, and value realization across manufacturing, quality, and delivery data, working closely with operators, planners, and engineers on real production data.

You will embed with Genba teams to move AI-enabled ideas from concept to prototypes and into production, while aligning with enterprise data standards and

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