Manager Loyalty Economics Job at Alaska Air Group (Seatac)

Job Description

The Manager, Loyalty Economics is responsible for defining and executing the analytics strategy for the economics of Alaska’s loyalty programs, including Atmos Rewards, the status holder program, co-branded credit cards, and communities. This role partners with senior leaders to translate loyalty strategy into measurable objectives, decision-ready insights, and scalable data products that improve member experience and drive profitable growth. As a people leader, this role leads and establishes priorities for the team, shapes team culture, and develops talent to solve complex, cross-functional commercial challenges. The Manager, Loyalty Economics is a high-visibility role on the loyalty leadership team and will have significant influence on the future of Alaska’s award-winning loyalty program and the cobrand program that generates $2B+ in annual revenues.

Job Responsibility

Leads a team of ~5 analysts and establishes priorities to successfully execute the loyalty economics analytics strategy and roadmap
Partners with senior leadership on the development of loyalty analytic strategy, forecasts, tools, reports, and dashboards that solve complex commercial challenges and inform program design
Owns data inputs into holistic loyalty program and member-level P&L, ensuring methodologies, assumptions, and attribution approaches are transparent and decision-ready
Evaluates and recommends tradeoffs in program design (e.g., earn, burn, benefits, partner economics) to maximize member value, satisfaction, and long-term profitability
Produces statistical forecasts and scenario analyses for loyalty products to predict performance, set targets, and quantify risks/opportunities to the business
Acts as a data steward for core loyalty and loyalty partner datasets by defining/maintaining metric definitions, ensuring data quality and validity, and advocating for investments aligned with long-term business needs
Partners with Commercial Analytics and Information Technology Services on the development and enhancement of loyalty data marts, pipelines, and analytic tools, identifying opportunities to simplify, scale, and improve reliability
Develops and maintains a platform of self-service reporting and decision support tools
delivers insight-led storytelling and actionable recommendations that drive and sustain business performance
Leverages AI and advanced analytics to automate and improve data processes (e.g., data quality checks, anomaly detection, and pipeline monitoring) and to generate faster, deeper insights that inform loyalty strategy and program economics
Guides the team in advanced modeling, simulation, and optimization to improve program economics and inform strategic choices
Shapes team culture through action, presence, and reinforcement of behaviors
develops people through effective performance management, ongoing feedback, coaching, and delegation for stretch assignments.

Requirements

5 years of business intelligence, loyalty, travel, commercial analytics, and/or related analytics experience
2 years of leadership experience, leading projects, teams, or similar leadership/management
Bachelor’s degree, with a focus in mathematics, economics, operations research, finance, statistics, business administration, engineering, or a related discipline, or an additional two years of training/experience in lieu of this degree
Excellent communication skills, including experience presenting to senior leadership and communicating complex data insights in an understandable manner to management
Advanced experience working with relational databases (e.g., design, structure, and database management functions)
Advanced SQL skills
Proven experience working with large, complex data sets and disparate data sources across various platforms (e.g., SQL Server, Databricks, Oracle, etc.)
Proficiency with Microsoft Office applications (e.g., Word, PowerPoint, and Outlook), with expert Excel skills
High school diploma or equivalent is required
Minimum age of 18
Must be authorized to work in the U.S.

Nice to have

Experience with statistical modeling, machine learning, optimization/simulation
Advanced skills in visualization techniques, dashboard design, decision support tools, and automation, with experience using data visualization tools such as Tableau, Power BI, etc.
Demonstrated knowledge of descriptive statistics, correlation, linear regression, etc. in a business setting
Basic proficiency in at least one coding language (e.g., C++, C#, VBA, Python, R)
Experience managing ambiguous problems and converting into actionable timelines / plans through other teams.

What we offer

Free stand-by travel privileges on Alaska Airlines, Hawaiian Airlines & Horizon Air
Comprehensive well-being programs including medical, dental and vision benefits
Generous 401k match program
Annual bonus plans
Generous holiday and paid time off.

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Manager Loyalty Economics

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