VP, Enterprise Data

Role Overview

• Define and evolve an enterprise-wide data strategy aligned to commercial growth, member value, and long-term business priorities
• Establish data as a core enterprise capability across loyalty, personalization, distribution, and network intelligence
• Identify and prioritize high-impact data use cases that drive measurable business outcomes
• Partner with executive leadership to ensure data strategy is embedded into overall business and digital strategy
• Lead the modernization of data architecture, engineering, integration, and governance across the organization
• Advance a scalable, cloud-based data platform to support real-time and advanced analytics use cases
• Define and operationalize the distinction between operational (EDP) and analytical (EDW) environments
• Enable the foundation for AI, machine learning, and advanced analytics at scale
• Ensure interoperability and integration across internal systems and external partner platforms
• Establish enterprise data governance, ownership, and stewardship models across key domains
• Improve data quality, lineage, accessibility, and trust to support decision-making at all levels
• Design and scale a high-performing data organization, including talent, structure, and operating model
• Align data initiatives and investments with clear KPIs and measurable business impact
• Translate guest, member, and market data into actionable insights and scalable data products
• Enable personalization, loyalty optimization, pricing, and broader commercial performance initiatives
• Support data-driven decision-making across commercial, product, and operational teams
• Champion data fluency and adoption across leadership and the broader organization.

Requirements

• Experience in hospitality, travel, luxury, or asset-light network business models preferred
• Familiarity with distribution ecosystems (e.g., GDS, OTAs, loyalty platforms, channel management)
• Experience working in marketplace or platform-based businesses leveraging data for growth and partner performance
• Strong understanding of network economics and multi-entity data models (guest, member, partner)
• Experience operating in global, complex organizations with varying levels of data maturity
• Proven ability to translate enterprise data into scalable data products and decision platforms
• Deep experience with modern cloud data architectures (e.g., Snowflake, Databricks, AWS/GCP ecosystems)
• Strong knowledge of data engineering, data governance, and scalable platform design
• Fluency in analytics, reporting, and machine learning applications
• Experience operationalizing AI and advanced analytics within commercial or customer-facing use cases
• Strategic business leader with strong technical depth
• Demonstrated success leading enterprise data transformation and modernizing legacy environments
• Ability to influence and partner effectively across commercial, product, marketing, and technology teams
• Experience advising senior leadership, including CEO and executive stakeholders
• Strong track record of building and leading high-performing teams
• Ability to foster a culture of accountability, rigor, and data-driven decision making.

Tech Stack

• AWS
• Cloud
• Google Cloud Platform

Benefits

• 32 days of Paid Time Off (PTO)
• 11 paid holidays, including birthdays as a floating holiday
• Medical coverage available within the first month
• Health Savings Account (HSA) with Company contribution
• 401(k) company match up to 4% of salary, and deferred compensation
• Up to $500 for home office setup credit
• Up to $500 travel credit that supports and encourages our employees’ passion for travel
• Unlimited access to financial advisors
• Collaborative and inclusive work environment