Lead Engineer - Fleet Model

Roles and Responsibilities

• Execute analysis for aircraft engine fleets, particularly FMs (fleet model) to support business decisions related to Customized Service Agreements
• Deliver reliability, availability, maintainability prediction based on probabilistic fleet model
• Identify and execute on high quality data availability efforts for durability and cost modeling. Apply creative solutions, experienced judgment or machine learning methodology to solve TOW/SV cost related complex problems critical to the company
• Effectively identify and scope productivity projects addressing customer needs, deliver business results, identify leverage opportunities, institutionalize project benefits
• Provide technical leadership to personnel supporting the assigned projects Document technical data generated by the assigned project consistent with engineering policies and procedures
• Develop, monitor and communicate around project plans, status, business issues and significant developments as appropriate
• Share and discuss findings with team members.

Education Qualification

Bachelor's Degree in Mechanical/Aerospace or STEM Majors (Science, Technology, Engineering and Math) with advanced experience.

Desired Characteristics

• Minimum 4 years of industry experience
• Demonstrated skill in building weibulls, using weibulls for forecasting. Experience in building regression analysis.
• Familiarity of aircraft engine architecture and services
• Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
• Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets
• Demonstrated skill at data visualization and storytelling for an audience of stakeholders
• Humble: respectful, receptive, agile, eager to learn
• Transparent: shares critical information, speaks with candor, contributes constructively
• Focused: quick learner, strategically prioritizes work, committed
• Leadership ability: strong communicator, decision-maker, collaborative
• Problem solver: analytical-minded, challenges existing processes, critical thinker

Technical Expertise:
Demonstrated awareness of data management methods
Demonstrated awareness of realtime analytics development and deployment

Domain Knowledge:
Demonstrated awareness of industry and technology trends in one or more sectors where GE operates
Demonstrated awareness of customer and stakeholder management and business metrics

Leadership:
Demonstrated skill at function in a team setting
Demonstrated awareness of critical thinking and problem solving methods
Demonstrated awareness of presentation and influencing skills

Personal Attributes:
Demonstrated awareness of how to succeed in ambiguous circumstances