VP, Enterprise Data
About The Position
We are seeking a VP, Enterprise Data to define and lead the next phase of our enterprise data strategy, driving measurable business impact across our global network. This role will position data as a core driver of growth, performance, and decision-making across the organization. The VP will oversee the modernization of our data ecosystem, including architecture, governance, and analytics, ensuring data is trusted, accessible, and actionable. Partnering closely with commercial, product, marketing, and technology teams, this role will translate data into scalable products, insights, and capabilities that drive personalization, loyalty, and revenue growth. As a senior leader, the VP will build and lead high-performing teams, embed a data-driven culture, and ensure data is at the center of both commercial and operational strategy. This is a full-time position located in New York City. We offer flexible workplace policies that allow for working remotely 3 days a week and require being in our NYC office 2 days a week (Wednesdays and Thursdays).
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
Responsibilities
- 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
- Build capabilities in AI, automation, and data product development
- 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
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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Executive
Education Level
No Education Listed
Number of Employees
251-500 employees
