Remote AI Transformation Leader for Engine Delivery

GE Aerospace

Honolulu (HI)

Remote

USD 176,000 - 235,000

Full time

5 days ago
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Job summary

GE Aerospace seeks a senior product leader for the DES data, analytics, and AI capability. You will own the product vision, roadmap, and end-to-end lifecycle for data-driven solutions used in engine and spare-part delivery.

You will work closely with planners, operators, and engineers to move AI-enabled ideas from concept to production-ready prototypes on real production data. You will embed with teams on-site as needed and drive rapid prototyping to close capability gaps in daily management,

Qualifications

  • Bachelor’s degree from accredited university with 10+ years of professional experience.
  • Associates degree with 13+ years of experience.
  • High School Diploma with 15+ years of experience.
  • Minimum 8 years of IT experience.

Responsibilities

  • Own lifecycle (planning, forecasting, production) for multiple data, analytics, and AI products.
  • Build and maintain the DES data/analytics product roadmap.
  • Stand up self-service data/analytics on manufacturing, quality, delivery data.
  • Operationalize and sustain value from advanced analytics and AI investments.
  • Partner with central DT and Enterprise Data on data fabric and ontology adoption.
  • Take AI ideas from concept to working software with prototyping at multiple fidelities.
  • Embed with operators and engineers on the plant floor and stay on problem until adopted.

Skills

Python
SQL
Data pipelines
Ontology & data modeling
AI & ML concepts
Systems thinking
Lean/experimental product practice
Vendor/partner management
Executive stakeholder engagement

Education

Bachelor’s degree
Associates degree
High School Diploma

Tools

Python
SQL

Job description

GE Aerospace seeks a senior product leader for the DES data, analytics, and AI capability. You will own the product vision, roadmap, and end-to-end lifecycle for data-driven solutions used in engine and spare-part delivery.

You will work closely with planners, operators, and engineers to move AI-enabled ideas from concept to production-ready prototypes on real production data. You will embed with teams on-site as needed and drive rapid prototyping to close capability gaps in daily management,

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