Revenue Optimization Manager

Company

Alaska Airlines

The Team

Guided by our purpose, core values, and leadership principles, we are creating an airline people love. Our corporate teams set the strategies and operational plans to ensure the success of our company. Whether we use our expertise in accounting, human resources, finance, planning, legal, marketing, or any of our operational divisions, our shared passion for travel and our guests is what motivates us to achieve excellence each day. If you share our passion for creating an airline people love, we want to hear from you. 

Role Summary

The Revenue Optimization Manager is the lead subject matter expert in strategy, competitive intelligence, modeling, and research in their revenue domain at Alaska Air Group (AAG) and performs a wide range of financial and analytical leadership work supporting the company. As an individual contributor, this role defines long-term strategy and is responsible for finding opportunities for the company to increase revenues by influencing strategy and maintaining performance accountability across many teams throughout the Commercial and Finance Divisions and exercises considerable latitude and initiative to solve problems and make decisions to improve revenue planning, forecasting, modeling, research, accountability, and performance with statistical modeling and research, optimization, development and delivery of ML/AI models, project management, and solution design/delivery.

Key Duties

• Acts as a strategy, data, and business information subject matter expert in the development of long-term plans and solutions for leadership, planning, and revenue data.
• Translates strategy into advanced plans, then analytical experiments, models, and measurements to drive performance and align revenue outcomes with the company's strategic goals.
• Develops and deploys econometrics, financial, and machine learning models to drive business decisions, create accountability, and create value for Alaska Airlines. Creates detailed action plans, key performance indicators, and progress metrics.
• Owns monthly cadence output, including market and product profitability / revenue variance-to-budget reporting and root-cause analysis, revenue forecasting, and estimating the opportunity / determining the measurement for strategic initiatives to guide C-level prioritization.
• Exercises considerable latitude and initiative to solve for continuous improvement processes through data-driven analysis, reporting, tools, and goal setting to drive incremental improvement for key areas.
• Investigates and combines new and disparate large-scale data sources to extend the data-driven business process.
• Advocates for, develops, and implements systems and technology that enable leaders and system practitioners to take strategic action in a dynamic, competitive environment.
• Develops, maintains, and owns performance of automated systems to perform strategic activities. Researches new data sources,analytical tools, competitive landscapes, and products to enhance Alaska processes and practices.
• Influences and networks across stakeholders on the integration and enhancement of business systems.
• Uses advanced techniques, models, etc. to forecast future revenue and performance.
• Mentors and supports the development of other analysts throughout the company, acting as a leader for and an ambassador to other revenue and technical support teams.
• Closely partners with Product Management teams in the business functions, ITS and Ecommerce as well as the Commercial Strategy team to align on development and deployment of products, features, and models (including AI/ML) so that the company’s strategic revenue goals are achieved.
• Provide subject matter expertise in the understanding and application of Alaska Air Groups processes, practices, anddata.
• Oversees advanced research and analytic projects and presents findings and recommendations to senior leadership.
• Continuously monitor and enhance process, practice, and model performance, ensuring they meet and exceed business objectives and deliver tangible results.

Job-Specific Experience, Education & Skills

Required

• 7 years of experience in applied mathematics, data science, operations research, econometrics, economics, or related area.
• Bachelor’s degree in a relevant field, or an additional 2 years of relevant training/experience in lieu of this degree.
• Extensive experience in revenue modeling as well as at least two of the following areas of technical expertise: data science, operations research, statistics, econometrics, digital experimentation, enterprise strategy consulting or managerial accounting.
• Management-level professional experience, including 5+ years in at least one or more of the above domain areas.<