
10,000+ employees
🚀 Aerospace
🏭 Manufacturing
🎖️ Defense
💰 $2G Post-IPO Debt - GE Aerospace on 2025-07
Aerospace • Manufacturing • Defense
GE Aerospace is a global aerospace company that designs, manufactures, and services jet engines, components, and integrated systems for commercial and military aircraft. Headquartered in Cincinnati, Ohio, the company operates 60+ manufacturing locations, 15+ overhaul and component repair sites, and multiple engineering centers across 24 countries, employing roughly 53,000 people. GE Aerospace invests heavily in R&D (reported $2. 75B including customer/partner funding), supports large-scale commercial aviation (3. 4 billion passengers flew with GE technology in 2024) and maintains a fleet of about 45,000 engines in service. The company emphasizes U. S. manufacturing, workforce development, and a lean operating model called FLIGHT DECK, and is a major defense supplier supporting military aviation.
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10,000+ employees
🚀 Aerospace
🏭 Manufacturing
🎖️ Defense
💰 $2G Post-IPO Debt - GE Aerospace on 2025-07
Aerospace • Manufacturing • Defense
GE Aerospace is a global aerospace company that designs, manufactures, and services jet engines, components, and integrated systems for commercial and military aircraft. Headquartered in Cincinnati, Ohio, the company operates 60+ manufacturing locations, 15+ overhaul and component repair sites, and multiple engineering centers across 24 countries, employing roughly 53,000 people. GE Aerospace invests heavily in R&D (reported $2. 75B including customer/partner funding), supports large-scale commercial aviation (3. 4 billion passengers flew with GE technology in 2024) and maintains a fleet of about 45,000 engines in service. The company emphasizes U. S. manufacturing, workforce development, and a lean operating model called FLIGHT DECK, and is a major defense supplier supporting military aviation.
• Own the lifecycle of multiple interdependent data, analytics, and AI products spanning planning, forecasting, and production for the DES delivery transformation program • Represent the customer in scope and sequencing tradeoffs • Build and maintain the DES data and analytics product roadmap • Identify and secure stakeholders needed to support the roadmap • Establish self-service data and analytics on manufacturing, quality, and delivery data • Operationalize and sustain value from advanced analytics and agentic AI investments • Partner with central DT and Enterprise Data on data fabric and ontology adoption • Take AI-enabled ideas from concept to working software and prototypes using real production data • Embed with operators, planners, and engineers at the Genba and build capabilities with them • Use rapid prototyping within Daily Management to address KPI and TTI gaps • Define value cases using delivery metrics and report outcomes against 2026 DES measures • Influence Executive Band leaders and align Digital Technology spending with value-stream priorities • Set data and AI standards across the DES horizontal • Mentor product managers and engineers on systems thinking and experimental product practice • Manage supplier and contractor partners delivering analytics and AI work • Lead risk management covering export control, cybersecurity, data governance, and responsible AI
• Bachelor’s degree from an accredited university or college with minimum of 10 years of professional experience OR Associate’s degree with minimum of 13 years of professional experience OR High School Diploma with minimum of 15 years of professional experience • Minimum 8 years of professional experience in IT • Military experience is equivalent to professional experience • Ability to travel 10–50% • Legal authorization to work in the U.S.; employment visa sponsorship is not available now or in the future • Ability to prove U.S. Person status for access to U.S. export-controlled information: U.S. lawful permanent resident, U.S. Citizen, or granted asylee/refugee status • Hands-on experience producing data pipelines, ontology and semantic models, notebooks, agent workflows, and functional user interfaces • Fluency in Python, SQL, or equivalent • Ability to move ideas from proof of concept through medium- and high-fidelity prototypes • Experience owning data platform and advanced analytics products at scale, including ingestion, modeling, governance, performance, and self-service consumption • Working fluency with machine learning, large language models, retrieval, and agentic patterns • Working knowledge of manufacturing and MRO data and systems, including MES, ERP, quality, and shop-floor technology • Technology, process, and domain expertise to influence product design • Track record of understanding current and emerging technologies through training, job experience, or industry activities • Understanding of Lean Six Sigma principles and comfort operating inside a Daily Management system
• Annual discretionary bonus based on a percentage of base salary / commission based on the plan • Medical, dental, vision, and prescription drug coverage • Health Coach from GE Aerospace • Employee Assistance Program with 24/7 confidential assessment, counseling, and referral services • GE Aerospace Retirement Savings Plan • 401(k) savings plan with company matching contributions • Company retirement contributions • Fidelity resources and planning consultants • Tuition assistance • Adoption assistance • Paid parental leave • Disability insurance • Life insurance • Paid time off for vacation or illness • Professional development • Relocation assistance not provided
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