VP, Enterprise Data Services

Travel + Leisure Co. is the world’s leading vacation ownership and travel membership company, with a dynamic and growing portfolio of resort, travel club, and lifestyle travel brands. Our dedicated associates help the company achieve its mission to put the world on vacation. Innovation and growth keep our work interesting and fun. Every day is a chance to learn something new and turn vacation inspiration into exceptional experiences for millions of travelers worldwide.

The Vice President of Enterprise Data Services will lead the Data Product Implementation Office (DPIO) and provide enterprise oversight for the Data Science function. This executive leader is accountable for coordinating and overseeing the implementation of data products across the organization; standardizing data definitions, data quality, and governance; capturing platform and capability requirements; and driving prioritization, resource allocation, and measurable value realization.

The VP partners with business and technology leaders to scale trusted, governed data products and advanced analytics solutions that align with strategic objectives and improve operational and financial outcomes.

The role will be instrumental in the execution of data and analytics strategies to drive business insights, decision‑making, and value creation through key metrics that reflect the contribution of enterprise data, analytics, and data science to operational and financial business outcomes. This role is responsible for managing data products, overseeing a data literacy program, ensuring data governance, and providing leadership oversight for the Data Science team to deliver and operationalize predictive and prescriptive solutions.

Lead the Data Product Implementation Office, setting the vision and strategy for data product implementation.

Develop and maintain a data product roadmap that aligns with the organization's strategic goals.

Collaborate with senior leadership to prioritize data product initiatives based on business value and impact.

Build and maintain strong relationships with key stakeholders, including business leaders, IT teams, and external partners.

Facilitate design workshops and working sessions to gather requirements and define project scope.

Communicate project progress, risks, and issues to stakeholders, ensuring transparency and alignment.

Establish and enforce data governance policies and procedures to ensure data integrity, security, and compliance.

Oversee data quality initiatives to ensure the accuracy and reliability of data used for decision‑making.

Collaborate with cross‑functional teams to define and implement data governance frameworks and standards.

Ensure that data governance practices align with industry best practices and regulatory requirements.

Lead efforts to improve data governance maturity across the organization, including data stewardship, data cataloging, and metadata management.

Provide strategic and operational oversight for the Data Science team, including demand intake, prioritization, staffing, and performance management.

Establish standards for model development, validation, monitoring, and documentation, including alignment to privacy, security, and regulatory expectations.

Partner with Data Engineering, IT, and platform teams to enable MLOps capabilities (deployment, CI/CD, observability, retraining, and incident response) and ensure solutions are production‑ready.

Drive adoption and value realization of advanced analytics and AI solutions through stakeholder engagement, change management, and measurable outcomes.

Lead and mentor a team of data professionals, fostering a culture of collaboration and continuous improvement.

Provide guidance and support to team members, helping them develop their skills and achieve their career goals.

Promote best practices in data product development and implementation.

Oversee the design and implement a comprehensive data literacy program to enhance data‑driven decision‑making capabilities across the organization.

Oversee…