Business Solutions Manager

Job Description

Accountabilities

• Drive innovation in Pricing & RM systems by researching and applying Operations Research methodologies, industry best practices, and emerging technologies in collaboration with solution providers (e.g. PROS, Sabre, Infare)
• Develop strong commercial knowledge and liaise with internal and cross-functional teams to understand business requirements and recommend best practices where needed
• Manage and maintain calibration of forecasting and optimization models within RM systems to improve forecast accuracy and revenue performance
• Design and enhance system processes, practices, and controls to ensure effective usage of RM systems across the business
• Support RM stakeholders with system-related queries, troubleshooting, and operational requirements, ensuring minimal disruption to day-to-day activities
• Develop and implement KPI frameworks to monitor system performance, usage, and effectiveness, and proactively identify opportunities for improvement
• Lead user acceptance testing (UAT) for system upgrades, enhancements, and new releases, ensuring delivery meets business requirements and quality standards
• Prioritize and coordinate delivery of system enhancements, bug fixes, and new functionality in line with business needs and with system vendors
• Drive automation within RM systems through development of models, algorithms, and machine learning techniques to enable more efficient and scalable decision-making
• Manage data quality assurance of inputs and outputs of Pricing & RM systems interacting closely with RM and IT

Qualifications

• Bachelor’s degree in Statistics, Operations Research, Economics, Computer Science, Engineering, or related field.
• Minimum 5+ years experience in airline Revenue Management, with a strong focus on RM systems, optimization, or forecasting models
• Proven hands-on experience working with RM systems (e.g. PROS, Sabre RM or equivalent), including configuration, calibration, or system optimization
• Strong analytical capability with the ability to interpret complex data, identify patterns, and translate insights into system or model improvements
• Experience using statistical or programming tools such as Python, R, MATLAB, or similar
• Demonstrated ability to operate effectively in environments that require balancing structured project delivery with ad hoc operational demands
• Strong stakeholder management and communication skills, with the ability to translate technical outputs into business-relevant insights

Additional Information

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