VP, Enterprise Data

The Leading Hotels of the World•New York, NY

3d•$250,000 - $300,000•Hybrid

About The Position

We are seeking our first VP, Enterprise Data to lead the execution and evolution 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. This role will oversee the execution of our data modernization roadmap, including architecture, governance, and analytics, ensuring data is trusted, accessible, and actionable. Partnering closely with commercial, product, marketing, and technology teams, you will translate data into scalable products, insights, and capabilities that drive personalization, loyalty, and revenue growth. As a senior leader, you will build and lead high-performing teams, foster a culture of accountability and data-driven decision making, and serve as a trusted partner to the executive leadership team. 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, consumer, marketplace, membership, loyalty, or other data-rich customer-focused 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
Technical enterprise data leader with strong strategic judgment, business acumen, and a demonstrated ability to execute complex transformation initiatives
Proven success leading technical and data transformations within complex, matrixed organizations
Demonstrated ability to build, lead, and evaluate high-performing technical teams, including data engineering, platform, architecture, and governance functions
Experience advising senior executives, including CEO-level stakeholders, and influencing strategic business decisions
Strong emotional intelligence and executive presence, with the ability to influence diverse stakeholder groups and translate complex technical concepts into clear, actionable insights for both technical and non-technical audiences
Proven ability to foster a culture of accountability, operational excellence, and data-driven decision making

Responsibilities

Execute and continuously refine the enterprise 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
Provide technical leadership to the teams responsible for building and maintaining the enterprise data ecosystem, ensuring high-quality execution, scalable architecture, and alignment with business priorities
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
Coach and develop technical leaders while establishing clear accountability, delivery expectations, and operating discipline across the organization.
Translate guest, member, partner, 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
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