Senior Director, Ai & Data Leader

GE Aerospace

Multiple Locations
Machine learning and advanced analytics
Ai roadmap definition
Data architecture, engineering, platforms, governance
Develop and deploy artificial intelligence and data science solutions to optimize service operations, reduce downtime, and enhance profitability

Job Summary

  • Develop and deploy artificial intelligence and data science solutions to optimize service operations, reduce downtime, and enhance profitability.
  • Build and lead a high-performing data team, fostering a culture of collaboration, innovation, and continuous improvement.
  • Oversee data architecture, engineering, platforms, and governance, ensuring a robust, scalable, and secure data ecosystem.

Matching Summary

Develop and deploy artificial intelligence and data science solutions to optimize service operations, reduce downtime, and enhance profitability.

Skills & Requirements

Must-have

  • Machine learning and advanced analytics
  • AI roadmap definition
  • Data architecture, engineering, platforms, governance
  • Cloud computing platforms (AWS, Azure, GCP)
  • Python, R, and SQL programming

Nice-to-have

  • Customer-focused AI solutions
  • Cross-functional business team partnership
  • Lean operating model (FLIGHT DECK)
  • Global team collaboration and talent development
  • Time-zone flexibility

Key Requirements

  • Minimum 10 years of professional experience with Bachelor's degree
  • Minimum 7 years of professional experience in Data Analytics/Engineering
  • Legal authorization to work in the U.S. required

Work Rights

Legal authorization to work in the U.S. required

Tailored Resume

Cover Letter