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Job Description Summary 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

Job Description Roles and Responsibilities:

In this role, you will: 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

Education Qualification:

Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) Minimum years of experience 8 years

Desired Characteristics:

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 This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)). Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Employees may also be subject to random and reasonable-suspicion drug and alcohol testing.

Relocation Assistance Provided:

No