Support Daily Material Management Department (MMD) ops meeting with various MMD sections such as purchasing, repair, etc
Identify critical spares that will result in work stoppage/AOG and to work with relevant sections in MMD to support the spare requirement from Base Maintenance
Supporting Hangar check input and progress meetings
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Reporting to Vice President Fleet Operations, SIA Engineering Division based in Singapore, the Maintenance Controller is primarily responsible for driving timely completion of maintenance checks and rectifications in a base maintenance hangar environment for SIA and SIA subsidiary airline’s aircraft. This will be inclusive of both maintenance checks that takes place in Subang Airport, Malaysia.
Singapore Airlines is seeking an experienced Ops Commander Lead – DevOps, ITSM &Compliance to oversee high-impact operational incidents, with a primary focus on ensuring compliance. This role is critical in maintaining regulatory standards, security compliance, and driving continuous improvements in IT service management and operational performance. The ideal candidate will possess strong technical skills, including expertise in cloud infrastructure, DevOps tools, and security protocols, along with solid analytical abilities and a deep understanding of security principles. A proven track record of working collaboratively across teams is essential. You will take the lead in compliance governance initiatives while also managing critical incidents and enhancing operational efficiency throughout the organization.
Design, implement, and maintain a robust enterprise authentication system with a focus on Microsoft Entra ID-based Multi-Factor Authentication (MFA) and Single Sign-On (SSO).
Drive the migration of legacy SSO setup to Microsoft Entra ID, ensuring smooth transition and minimal disruption, providing the technical leadership and integration guidance to the application teams for SSO/MFA enablement.
Manage and maintain a hybrid identity infrastructure comprising on premises Active Directory and Microsoft Entra ID with Azure AD Connect handling directory synchronization.
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Support load planning procedures and assist in resolving load control–related issues
Maintain accurate flight documentation and records and provide backup support during irregular operations and flight delays
Assist in calculating aircraft weight and balance for passenger and cargo flights, and support the preparation of load sheets and loading instruction reports (LIR)
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Monitor forwarders’ performance and gather market intelligence on competitor activities/ key accounts to facilitate the formulation of appropriate sales strategies.
Engage forwarders regularly to strengthen business relationship and willing to meet customers’ occasional requests outside office hours.
Action on Cargo Space Management (CSM) requests for adhoc support on weak flights by contacting forwarders for more supports.
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Member of the in-house AI Center-of-Excellence team that works on challenging problems in advanced AI (including areas on generative multimodal AI, autonomous agent, NLP, computer vision, recommender system), mathematical optimization, game theory, and experimental design.
Research and develop advanced machine learning algorithms to meet complex product requirements. The scope includes defining hypotheses, executing necessary tests and experiments; evaluating, tuning and optimizing algorithms and methods; and having an eye towards cloud implementation ease, scalability, and robustness in a live customer facing production environment.
Provide technical direction and guidance to a small and highly skilled team of junior and senior data scientists embedded in Kanban data squads. These squads deliver products/services in generative AI, data science and data analytics to stakeholders in a large number of business units. Serve as a go-to technical expert in your area of AI expertise.
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You will be a member of the Group Information Security Team responsible for ensuring that IT solutions (both applications and infrastructure) are developed and designed with security inbuilt.
Collaborate with cross-functional teams (business stakeholders, domain experts, engineers) to identify and frame challenging problems in mathematical optimization and operations research.
Design, develop, and deploy optimization solutions that have direct impact on aircraft assignment, crew scheduling and other related operational areas, including predictive models to required forecast demand, disruptions, or operational KPIs. Validate models and solutions through rigorous testing, scenario analysis, and sensitivity studies; communicate results and trade-offs clearly to technical and non-technical audiences.
Work closely with application development teams to help them operationalize and integrate optimization capabilities on their software systems, advise on data requirements, API design, performance considerations, and monitoring.
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Collaborate closely with the application stakeholders to deliver GCP infrastructure services that are resilient and secure, adhering to best practices for data management and processing.
Administer and manage cloud infrastructure deployment on GCP, including provisioning and de-provisioning resources, maintaining security posture, monitoring resource utilization, configuring networks, and managing backup/restore processes.
Troubleshoot issues effectively, perform root cause analysis, and implement corrective and preventive actions during and after incidents to minimize downtime.
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You will be a member of the Group Information Security Team responsible for responding to threats and incidents to the corporate networks, systems (on-prem and cloud), and digital assets.
The successful incumbent will be part of the Inflight Planning Department in Customer Experience Division supporting supporting the optimisation of aircraft galley layouts and inflight equipment planning to ensure safe, efficient, and high-quality operations. The role drives operational readiness through effective inventory management, validations, and cross-functional coordination, while leveraging digital tools and Gen AI to enhance processes, data insights, and continuous improvement.
Key Responsibilities• Plan and optimise aircraft galley layouts and equipment loading using the Galley Planning 4 Equipment Loading Plan (GP4 ELP) system.• Allocate galley and storage space, assess new service requirements, and coordinate with Food & Beverafe team on equipment needs and menu support.• Conduct operational validations, including flight checks and equipment fit assessments, to ensure practicality, safety, and compliance.• Review and refine ELPs with Cabin Crew to improve service flow, uplift efficiency, and onboard operations.• Manage and monitor inflight equipment inventory to ensure accuracy, availability, and alignment with operational requirements.• Support system enhancements and digital initiatives, including GP4 User Acceptance Testing and Gen AI-driven process improvements.• Analyse operational data (e.g. Cabin Crew Voyage Report, feedback) to identify gaps, support investigations, and drive continuous improvements.• Collaborate with cross-functional stakeholders to resolve operational issues and ensure smooth implementation of initiatives.
Requirements • Diploma in Mechanical / Aviation Engineering/ Data Engineering, or related fields.• Fresh Diploma Graduates, Individuals with cabin crew experience are welcome.• Keen interest in airline operations, inflight service, and inventory planning.• Strong communication and coordination skills across multiple stakeholders• IT-savvy with interest in digital tools, automation, and emerging technologies (e.g. Gen AI).• Comfortable working with data and analytical tools (e.g. Tableau).• Proficient in Microsoft Office applications (Excel, PowerPoint, Word).• Self-driven, detail-oriented, and able to work independently in a fast-paced environment.
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Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to production cloud.
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