Overview In this role, you lead a team of analysts and data scientists to deliver data-driven customer insights that inform commercial strategy across Loyalty, Marketing, Revenue, Sales, and IT. You will develop strategic customer segmentations and analytics frameworks that drive growth and retention. You'll champion modern AI-enabled analytics solutions and integrate customer data into high-impact commercial projects. This is a hands-on leadership role focused on mentoring, upskilling, and shaping the organization's data-driven culture.
Compensation / Benefits- Travel perks across 365 destinations
- Health benefits from day one (medical, dental, vision)
- Wellness programs and resources
- 401(k) program with employer contributions after one year (varies by workgroup)
- Employee Assistance Program
- Pet insurance and discounts on hotels, cars, cruises
Responsibilities- Develop strategic customer segmentations aligned with commercial strategy and communicate findings to the broader commercial organization
- Enhance long-term commercial strategy through advanced segmentation and analytical frameworks
- Lead design, development, and implementation of advanced analytics solutions that generate customer value and growth
- Champion the adoption and correct use of customer data frameworks in strategic projects
- Promote Gen AI and Agentic AI tools usage to leverage customer data in revenue analytics
- Identify data opportunities to enhance segmentation and guide data strategy teams on prioritization
- Develop and share best practices for customer segmentation across the organization
- Provide strategic leadership, coordination, and mentoring to build a successful, upskilling team
- Ensure continuous development opportunities and ongoing talent recruitment for future leaders
- Foster a team culture grounded in integrity, accountability, collaboration, and inclusiveness
Key requirements- 5 years of experience in customer analytics, including data science, data management, customer engagement, insights, and ML/AI
- Ability to synthesize large, disparate data into actionable insights
- Ability to deliver clear findings to senior management by integrating data from multiple sources
- Experience collaborating with groups with competing priorities
- Understanding of airline-customer data and behavior relevant to customer experience management
- Experience coaching data analysts to improve analytical techniques
- Bachelor in Finance, Data Analytics, or Statistics
- Preferred: Advanced degree and experience managing a data analytics team
- leadership and people management
- cross-functional collaboration
- clear communication with senior stakeholders
- data science
- machine learning/artificial intelligence (ML/AI)
- customer analytics and segmentation
