Executive Leader, Artificial Intelligence

Job Summary:
GE Aerospace is seeking a visionary leader to serve as Executive Leader Vice President - Artificial Intelligence (AI). This role will define and execute the AI and data science strategy for commercial engine services, driving innovation and operational excellence. The Executive Leader/VP - AI will lead a high-performing team, foster cross-functional collaboration, and ensure the successful deployment of AI solutions to optimize service operations, reduce downtime, and enhance profitability.

Key Responsibilities:

• Strategic Leadership: Develop and execute a vision for leveraging AI and data science to drive business outcomes, ensuring alignment with organizational goals and long-term growth.
• Team Development: Build and lead a high-performing data science team, fostering a culture of collaboration, innovation, and continuous improvement. Mentor and develop talent to ensure long-term success in AI initiatives.
• AI and Data Science Solutions: Design and deploy machine learning algorithms to optimize service operations, reduce downtime, and drive adoption of AI tools across the organization.
• Collaboration and Stakeholder Engagement: Partner with CX, CSA, Deal Factory, MRO operations, and DT teams to integrate AI solutions into existing workflows. Collaborate with customers to deliver tailored AI-driven solutions using iDNA.
• Innovation and Industry Leadership: Stay abreast of emerging trends in AI and data science, representing GE Aerospace at industry events and conferences to showcase AI-driven commercial engine services.
• Act as a practitioner and coach of FLIGHT DECK, GE Aerospaces proprietary Lean Operating System, to accelerate the deployment of strategic capabilities and value to the business, and to drive standard work in the way in which critical data & technology outcomes are designed, delivered, and supported.

Core Leadership Skills:

• Strategic Leadership in AI and Data Science
• Business Acumen and Aviation Industry Knowledge
• Team Building and Cross-Functional Collaboration
• Change Management and Innovation

Functional/Technical Expertise:

• Advanced Technical Expertise in AI and Machine Learning
• Understanding of Engine Services Business Operations
• Understanding of MRO (Maintenance, Repair, and Overhaul) Operations

Qualifications:

• Proven experience in AI, machine learning, and data science methodologies.
• Comprehensive knowledge of aerospace industry operations, including Services, Aftermarket and MRO processes.
• Strong leadership and team-building skills with a track record of driving innovation and change management.
• Ability to represent GE Aerospace at industry events and conferences.

Additional Notes:
This role requires a dynamic leader with a deep understanding of AI applications in aerospace and a passion for driving technological advancements to achieve measurable business outcomes.