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Information Technology - Lead Software Engineer (Airline Network Revenue)

Singapore Airlines • SG • 17h ago

Job Description

We are seeking a highly skilled and experienced Revenue Management Systems Engineer to join our team and provide oversight for the design, implementation, and management of SIA Group's Revenue Management Systems. The primary objective of this role is to implement, maintain, source/recommend and renew Revenue Management systems to help SIA achieve its passenger revenue optimization and business objectives.

Key Responsibilities

Transform and optimize revenue management systems to enhance availability, performance, and automation
Calibrate and maintain Revenue Management systems at optimal settings while ensuring compliance with SIA architecture standards
Create technical solutions for revenue management requirements across various technologies including
- Revenue Management Systems,
- Pricing and Shopping Engines,
- Distribution and Sales Systems, and
- Data Analytics platforms
Assess, introduce, and implement new AI/ML technologies in Revenue Management and Dynamic Pricing, including forecasting, demand prediction, and pricing optimization tools
Lead integration of machine learning algorithms into existing revenue management workflows and collaborate with vendors on AI-powered solutions
Deliver large-scale IT projects using Agile methodologies while managing outsourced vendors and internal teams
Track, proof-of-concept, and plan technology refresh for revenue systems with emphasis on AI capabilities

Requirements

Degree with 6-10 years of systems experience managing Revenue Management Systems in multi-vendor environments, covering Revenue Optimization Systems, Dynamic Pricing, Data Analytics, Business Intelligence, and AI/ML applications
Experience in deploying new generation Revenue Management Systems including scoping, setup validation, calibration, UAT, BPT, and system cutover
Experience in Altea would be beneficial
Strong understanding of AI and Machine Learning applications in revenue management, including predictive analytics, demand forecasting, and dynamic pricing algorithms
Knowledge of airline revenue management principles, pricing strategies, fare family offerings, and distribution architectures
Proficiency in Agile/Scrum methodologies and automation tools
Excellent problem-solving, analytical, communication, and interpersonal skills with ability to interpret revenue data and AI model outputs
Demonstrated industry awareness of AI trends in revenue management

We thank all candidates for your interest in Singapore Airlines, and regret that only shortlisted candidates will be notified.

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