2,139,323open jobs
136,278companies
254,257added this week
Browse all
Location
In office (Singapore)
Seniority
Architect · 15+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 7, 2026. First seen by Alion on Nov 5, 2026. GE Aerospace scores A on the Alion truth index.

Overview
Company
Impact
Profile match
GE Aerospace (General Electric Company) is an aerospace manufacturing and aviation technology enterprise specializing in jet and turboprop engines, integrated avionics, mechanical systems, and maintenance services. Headquartered in Evendale, Ohio, United States, the company designs, manufactures, and services propulsion systems for commercial, military, business, and general aviation aircraft - including powerplants produced independently and through major joint ventures like CFM International. Through an extensive global maintenance, repair, and overhaul (MRO) network, digital flight data analytics platforms, and defense propulsion contracts, the organization supports commercial air carriers, armed forces, and aerospace OEMs worldwide.

Job Description Summary

Provide unified leadership for Technology and Engineering to define and execute the technology roadmap for automation, robotics, digital manufacturing, and industrialisation across the Singapore Component Repair operations. Drive Smart Factory capabilities that materially improve SQDC and support strategic growth, while ensuring robust technical standards and effective, integrated Maintenance as an enabler.

Job Description

Company Overview:

Are you ready to see your career take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen.

Site Overview:

For more than 40 years, our advanced facilities in Singapore have led aerospace innovation across the Asia Pacific region. From automating processes to leveraging smart factory technologies, robotics, and additive manufacturing, GE Aerospace is shaping the future of aviation. Responsible for more than 60% of our global repair volume, our Singapore site is the largest site for engine component maintenance, repair and overhaul work. We can’t do this work without talented people like you.

Join us and be part of our journey to innovate and excel in the aerospace industry.

Role Overview:

This is a senior executive role leading senior managers across Technology and Engineering disciplines, including Special Processes, Automation & Robotics, Machining, Tooling, NPI/industrialisation, Digital Manufacturing, and integrated Maintenance. The role partners closely with Operations, Quality, Supply Chain, Digital Technology, EHS, and Program teams to deliver safe, reliable, and competitive repair operations.

1. Technology & Engineering Strategy and Leadership

  • Set the technology vision: Define and lead the multi-year technology strategy for the Singapore Component Repair plants, aligning automation, robotics, and digital manufacturing with business growth, competitiveness, and customer needs.
  • Unify technical functions: Lead Special Processes, Automation & Robotics, Machining, Tooling, and NPI under a cohesive strategy, standards framework, and talent model.
  • Technical ownership: Ensure robust process capability, methods, and problem-solving that support quality, delivery, and cost objectives.

2. Smart Factory, Digitalisation, and AI

  • Smart Factory roadmap: Own and execute a Smart Factory roadmap that covers automation and robotics deployment, MES/PLM/SCADA integration, data architecture, and connectivity for critical processes and value streams.
  • Digital manufacturing & AI: Identify, prioritize, and industrialise high-value digital and AI/ML use cases (e.g., predictive maintenance, anomaly detection, process optimization, automated inspection) that measurably improve SQDC.
  • Digital thread & twin: Advance digital thread and digital twin practices across the repair value stream, enabling connected machines, real-time performance visibility, and closed-loop quality.
  • Data foundations: Ensure high-quality data capture, contextualisation, and governance to support analytics, dashboards, and data-driven decision-making.

3. Industrialisation and New Product Introduction

  • End-to-end industrialisation: Lead New Product Introduction (NPI) and industrialisation of repair processes, including DFM/DFA, process development and validation, PPAP/FAI readiness, and rate readiness.
  • Design collaboration: Partner with Design Engineering, Programs, and customers to influence repairability, manufacturability, and cost early in the lifecycle.
  • Change control: Govern technical change (ECR/ECO) and configuration management to ensure safety, regulatory, and customer compliance while maintaining configuration integrity.

4. Technical Excellence and Special Processes

  • Standards and methods: Establish and maintain standards, methods, work instructions, and process controls for special processes (e.g., heat treatment, coatings, welding) in line with applicable standards and customer requirements.
  • Capability and qualification: Ensure robust process capability, qualification, and re-qualification of critical processes, including measurement systems and inspection methods.
  • Problem-solving excellence: Sponsor and enforce disciplined root cause analysis and corrective actions for technical issues impacting SQDC.

5. Continuous Improvement, Productivity, and Capital

  • Productivity delivery: Deliver annual productivity, yield, and scrap-reduction commitments through automation, process capability improvements, and design-to-cost initiatives.
  • Technology & capital roadmap: Develop and execute technology and capability roadmaps, including capital investment plans, to support future workload, rates, and strategic programs.
  • External partnerships: Build and manage relationships with key equipment suppliers, technology partners, and research institutions to accelerate innovation and industrialisation.

6. Governance, Safety, and Compliance

  • Safety leadership: Embed safety-by-design, process safety, and EHS compliance into all technical decisions, particularly for new automation, robotics, and major process changes.
  • Technical governance: Establish and lead technical review boards and forums for process approval, risk assessment, and major technology decisions.
  • Measurement capability: Ensure robust Measurement System Analysis (MSA), Gage Repeatability and Reproducibility (GR&R), and audit readiness for regulatory, customer, and internal requirements.

7. Maintenance Integration, Reliability, and Asset Management

  • Integrated Maintenance & Engineering: Integrate Maintenance into a combined Maintenance & Engineering organization with clear technical ownership for critical assets and standards.
  • Reliability focus: Implement reliability-centered maintenance (RCM), TPM, and disciplined CMMS practices to improve OEE, increase MTBF, reduce MTTR, and minimize unplanned downtime in line with technology and capacity plans.
  • Asset lifecycle management: Lead asset strategy, including specification, qualification, lifecycle planning, and decommissioning, ensuring alignment with the technology roadmap and Smart Factory objectives.

8. Organization Effectiveness and Talent

  • Org design: Assess current structures, interfaces, and spans and layers across Technology, Engineering, and Maintenance. Design and implement a phased transformation to clarify ownership, decision rights, and operating mechanisms.
  • Talent development: Build deep technical and leadership bench strength in automation, robotics, digital manufacturing, industrialisation, and reliability engineering. Promote a culture of learning, standard work, and continuous improvement.
  • Change leadership: Lead the cultural and organizational change required to adopt new technologies, digital tools, and new ways of working across the plants.

Ideal Candidate

The ideal candidate is a visionary and execution-focused engineering leader with deep experience in aerospace manufacturing, repair industrialisation, automation, robotics, and digital manufacturing, coupled with a proven ability to lead large multi-disciplinary teams through transformation. They bring strong technical judgment, operational discipline, and people leadership to deliver measurable improvements in safety, quality, delivery, cost, and organizational capability across a complex repair environment.

Required Qualifications

  • Bachelor’s degree in Engineering (Mechanical, Manufacturing, Electrical, Mechatronics, or related field); advanced degree preferred.
  • 15+ years in manufacturing/operations engineering within aerospace or closely related industries
  • 8+ years leading multi-disciplinary engineering organizations, including responsibility for senior managers and cross-functional teams

Technical expertise:

  • Proven track record in automation and robotics integration, from concept through industrialisation and scaling
  • Experience with machining, tooling, and special processes relevant to component repair
  • Strong background in NPI and industrialisation, process validation, and regulatory/customer compliance
  • Demonstrated experience in digital manufacturing, including MES/SCADA/PLM, data systems, and analytics
  • Solid understanding of maintenance and reliability engineering practices and systems as enablers of technology and capacity

Leadership attributes:

  • Visionary technical leader who aligns technology and digital roadmaps with business strategy and competitiveness
  • Data-driven decision-maker who balances innovation with operational discipline, risk management, and compliance
  • Strong stakeholder management; able to influence across Operations, Digital Technology, Quality, Supply Chain, and external partners
  • Proven people developer who builds high-performing teams, deep technical capability, and a culture of standard work and continuous improvement
  • Uncompromising focus on safety, quality, and ethical standards

Preferred Qualifications

Technology and digitalisation impact:

  • Automation/robotics deployment vs. roadmap (cells/lines implemented, volume through automated routes)
  • Progress on digital maturity milestones (e.g., machine connectivity, MES/SCADA integration, usable data availability)
  • Measurable SQDC improvements linked to digital/AI use cases (right-first-time, cycle time, inspection productivity)

Industrialisation and NPI performance:

  • PPAP/FAI on-time and first-pass success for new and modified repair processes
  • Process capability indices for critical characteristics post-industrialisation
  • Ramp-to-rate achievement and stability vs. plan

Productivity and cost:

  • Year-on-year cost productivity (e.g., conversion cost reduction, labour and overhead efficiency)
  • Scrap and rework reduction vs. target
  • Capital investment ROI vs. business case and timeline

Asset performance (as enabler):

  • Improvement in OEE on critical assets and value streams
  • Increased MTBF and reduced MTTR
  • Reduction in unplanned downtime for key equipment

Organizational health:

  • Critical technical roles filled and succession depth in automation, digital, and industrialisation
  • Engagement and retention of key technical talent
  • Adoption of standard work and closure of targeted skill gaps

Location and Travel

  • Location: Primarily on-site at the Singapore Component Repair plants.
  • Travel: Travel to vendors, partners, customers, and other sites as required.

Additional Information

By submitting your application for this position, you consent to the collection, use, and disclosure of your personal data by GE Aerospace and its recruitment partners, including Employment and Employability Institute Pte Ltd, for the purpose of i) employment facilitation and ii) data and statistical analysis. You may find out more information on the PDPA policies at https://www.geaerospace.com/careers/privacy and https://www.e2i.com.sg/pdpa/.

At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.

Additional Information

Relocation Assistance Provided: No

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
2,139,323 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Leadership
Similar stack
Same company
Singapore
$61k – $80k per year (gross) · In office · Full-Time · 3+ years exp · Singapore
MedTech
CAPA
Apply
In office · 10+ years exp · Bachelor's Degree · Singapore
AI/ML
Computer Vision
Machine Learning
Analytics
Tableau
Power BI
Apply
$51k – $58k per year (gross) · In office · Contractor · 4+ years exp · Singapore
Python
JavaScript
PHP
Node JS
PHP
WordPress
Databases
MySQL
DevOps
Rest API
Apply
$79k – $108k per year · Equity · In office · Full-Time · Austin
Apply
In office · Full-Time · 15+ years exp · India
Python
Python
pySpark
Databases
Snowflake
Databricks
Apache Iceberg
Delta Lake
Apache Kafka
Google BigQuery
Amazon Redshift
Apache Hudi
AI/ML
Spark
Airflow
Dagster
MLFlow
Vertex AI
dbt
Prefect
Great Expectations
Feature Store
DevOps
GCP
Azure
CI/CD
AWS
Amazon Kinesis
Analytics
Azure Data Factory
AWS Glue
Data Vault
Dimensional Modeling
Master Data Management
Apply
In office · Full-Time · Dubai
Python
JavaScript
TypeScript
Python
FastAPI
Asyncio
Pydantic
Databases
DuckDB
AI/ML
Cursor
Claude
OpenCV
ElevenLabs
Quantization
Multimodal AI
AI Agents
LM Studio
Ollama
LLM
RAG
TPU
Edge AI
Multi-Agent Systems
Frontend
React.js
DevOps
Rest API
WebSockets
Docker
Proxmox VE
Linux
Apache HTTP Server
Robotics
Digital Twin
IoT
MQTT
Zigbee
Management
Home Assistant
Apply
In office · Full-Time · Dubai
Python
SQL
Databases
Weaviate
DuckDB
Pinecone
AI/ML
LangGraph
LangChain
Spark
Reinforcement Learning
Scikit-learn
AI Agents
Ollama
Flink
TensorFlow
Pandas
NumPy
PyTorch
RAG
Anomaly Detection
Time Series
OpenAI
Agentic Workflows
Machine Learning
Cybersecurity
GDPR
Robotics
Reinforcement Learning
Analytics
ETL/ELT
IoT
MQTT
Management
Home Assistant
Apply
Remote (United States) · Full-Time · Bachelor's Degree · United States
Python
JavaScript
SQL
Node JS
Databases
PostgreSQL
PostGIS
AI/ML
LLM
DevOps
Azure
AWS
Robotics
Digital Twin
SpaceTech
QGIS
GeoServer
Apply
Hybrid · 8+ years exp · Chennai · Bengaluru
JavaScript
AI/ML
Model Context Protocol
Prompt Engineering
AI Agents
Anomaly Detection
Time Series
DevOps
Rest API
SOAP
Management
ServiceNow
Agile
ITIL
ITSM
Apply
In office · 8+ years exp · Master's Degree · Bengaluru
Python
Databases
Databricks
AI/ML
LangGraph
LangChain
Claude
MLFlow
Fine-tuning
Scikit-learn
Prompt Engineering
AI Agents
TensorFlow
PyTorch
RAG
Anomaly Detection
OpenAI
DevOps
GCP
Azure
AWS
Management
Agile
Apply
Staff Site IT Manager 16 days ago
≈ $47k – $100k per year (Estimated) · In office · Full-Time · 3+ years exp · Bachelor's Degree · Singapore
DevOps
Incident Management
Management
ITIL
Apply
$200k – $268k per year · In office · Nationals only · Full-Time · 6+ years exp · Bachelor's Degree · Bohemia
Apply
$152k – $222k per year · Remote (United States) · Nationals only · Full-Time · 10+ years exp · High School Diploma · Atlanta
Databases
Snowflake
Databricks
AI/ML
AI Agents
Machine Learning
DevOps
AWS
FinOps
Management
Agile
Scrum
Kanban
Defense
CMMC
Apply
CMR Project Leader 1 day ago
≈ $18k – $47k per year (Estimated) · In office · Full-Time · 5+ years exp · Bachelor's Degree · Bengaluru
Apply
$136k – $175k per year · Hybrid · Nationals only · Full-Time · 5+ years exp · Bachelor's Degree · United States
Apply
In office · Singapore
Apply
In office · 12+ years exp · Singapore
Apply
Legal Secretary 1 day ago
In office · Full-Time · Singapore
Analytics
Microsoft Excel
Management
ServiceNow
Apply
In office · Full-Time · Singapore
DevOps
Azure DevOps
Azure
Management
Trello
Jira
Apply
≈ $46k – $102k per year (Estimated) · In office · Full-Time · 1+ year exp · Singapore
Java
SQL
C#
C#
ASP.NET Core
DevOps
Rest API
Azure DevOps
GitHub Actions
GitLab CI
Azure
CI/CD
Jenkins
AWS
Docker
Kubernetes
Management
Jira
Agile
Apply
See all jobs
This is one of many
2,139,323 more open roles from verified company boards, updated every day.