Job Description

Managerial: 6 - 10 years

Summary

As a Senior Business Analyst - Optimisation, you will be responsible for designing, developing, and enhancing optimisation models that drive the generation of cost-efficient, regulatory-compliant, and crew-friendly flight pairings and schedules. You will work closely with stakeholders across Crew Planning, IT, Operations, and vendor partners to translate business needs into mathematical models and actionable solutions.




You will lead initiatives that influence strategic planning, operational execution, and crew satisfaction by optimising pairing construction and roster generation using advanced analytics, machine learning, and mathematical optimisation techniques.

Key Responsibilities:

Design, write, and maintain mathematical optimisation models for pairing and crew schedule generation. Lead end-to-end development and deployment of optimisers, including modelling, algorithm design, parameter tuning, and validation. Collaborate with Crew Planning, Rostering, Flight Operations, and IT teams to ensure that optimisation outputs align with business rules, regulatory requirements, and labour agreements. Analyse crew utilisation, trip coverage, reserve usage, and stability to identify areas for further optimisation. Work with software vendors (e.g., AIMS) to enhance or integrate optimisation capabilities into existing systems. Continuously refine models based on operational feedback, data trends, and crew satisfaction metrics. Provide technical leadership and mentorship within the optimisation team and across related projects. Present findings and optimisation recommendations to senior leadership and cross-functional stakeholders. Contribute to strategic roadmaps and innovation in digital crew enablement initiatives.

Required Qualifications:

PhD or MSc in Mathematics, Operations Research, Computer Science, or related field with specialisation in Optimisation. Minimum 8+ years of hands-on experience in developing and deploying optimisation models, preferably in the aviation, transport, or logistics domain. Strong understanding of crew pairing, rostering, and fatigue management regulations. Proficient in linear/integer programming, heuristic/metaheuristic methods, and solver technologies (e.g., CPLEX, Gurobi). Experience with modern programming languages such as Python, C++, or Java. Familiarity with airline scheduling software suites and crew management systems (AIMS, Jeppesen, etc.) is highly desirable. Demonstrated ability to lead cross-functional projects and influence without authority. Excellent communication skills - capable of explaining complex models to both technical and non-technical audiences.

Preferred Attributes:

Prior experience in airline operations or airline crew planning environment. Exposure to machine learning techniques used in predictive crew behaviour modelling or disruption recovery. Proven record of academic or industry publications in optimisation or scheduling.

Kotlin Programming Language; C Sharp (Programming Language); Vendor Management; Swift Programming Language; Critical Thinking; Business Requirements Documentation (BRD); C (Programming Language); Qlik Sense; Vulnerability Management; Security Architecture Design; Google Analytics; Application Security; Identity Access Management (IAM); Machine Learning; Security Testing; Contract Management; Navitaire; Microsoft Excel; Malware Analysis; Conflict Management; Application Programming Interface (API); Enterprise Security Architecture; Cryptography; Digital Forensics; JIRA Tool; Responsive Layout; Business Continuity Planning (BCP); Customer Journey Mapping; Visual Basic (Programming Language); Computer Forensics; Disaster Recovery Planning; iOS Development; Android Studio; Azure Sentinel; User Personas; Salesforce (Software); Network Sercurity; Group Problem Solving; NetSuite; Federated Identity Management (FIM); Enterprise JavaBeans (EJB); React.js; Artificial Intelligence (AI); Cybersecurity; Data Storytelling; Documentations; Microsoft .NET Development; Android SDK; Data Privacy; Stakeholder Management; Scrum (Agile); Procurement Procedures; Communication; Standard Operating Procedures (SOPs); Continuous Improvement (CI); Robotic Process Automation (RPA); Problem Framing; Ecosystem Management; Project Management; Tableau (Software); OutSystems; Negotiation; ServiceNow; Facilitation; Apple Cocoa; Power Query; Emerging Technologies; Java; Node.js; AngularJS; Virtual Reality