Director Data and analytics

About the role

The Streaming Test Analytics team scope encompasses invention and development of new analytic methods, data science and investigation of anomalies through AI analytics and automation of analytic tools and processes. The Streaming Analytics systems will operate in an engine testing environment to provide the broader engineering team with early indicators of engine operating characteristics, and provides design insights. The enablement of this process requires hardware and software solutions. This position will lead a team developing both software infrastructure and analytic development to support Product Validation across 5 sites.

Responsibilities

• Lead program and operations for Streaming Test analytics
• Ensure customer adoption & drive simplification on process, governance in relation to test data
• Maintain effective working relationship with business leaders, stakeholders, users and partners to integrate programs into overall strategic objectives
• Effectively communicate (i.e. status, issues, and escalations) to leadership and other various levels of the organization
• Lead a team of GE employees and contractors to implement, simplify and support Test data management
• Lead with a hands-on approach – drive accountability to continuously improve enterprise standards, and grow the team's capability set from both depth and breadth perspective
• Coach GE employees on career navigation, managing conflict, and how to operate in a volatile, uncertain world
• Shape/Develop and sustain strong, candid relationships with Product Validation customers
• Recruit, hire, and retain talents
• Drive business process change (simplification) by influencing functional and business customers
• Develop systems and opportunities for continued employee education on test technology, accounting/controllership best practices, etc.
• Develop knowledge transfer processes that seamlessly transition project go lives to test data operations team

Requirements

• Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math)
• Minimum 8 years of experience
• This role requires access to U.S. export-controlled information. Employment is contingent upon the ability to prove status as a U.S. Person (U.S. lawful permanent resident, U.S. Citizen, or granted asylee/refugee status under 8 U.S.C. 1324b(a)(3)).

Desired qualifications

• Strong technical background in Machine Learning & AI solutions including anomaly detection, data clustering/piping, & GenAI orchestration
• Strong technical background in aircraft engine performance analysis and/or engine design (thermal, aerodynamics, combustion, etc.)
• Background in software development using Python/Java using Agile CI/CD
• Demonstrated ability to deliver large scale programs
• Demonstrated ability to lead in a highly matrixed environment
• Demonstrated experience in project or program management, including across business units
• Excellent written and oral communication skills
• Excellent collaboration skills
• Experience working across multiple functions and with global resources
• Strong Six Sigma, Change Acceleration Process (CAP) skills
• Strong analytical skills

Relocation assistance is not provided for this position.