Lead, Data Governance

Journey with us! Combine your career goals and sense of adventure by joining our exciting team of employees. Royal Caribbean Group is pleased to offer a competitive compensation and benefits package, and excellent career development opportunities, each offering unique ways to explore the world.

We are proud to be the vacation-industry leader with global brands — including Royal Caribbean International, Celebrity Cruises and Silversea Cruises — the most innovative fleet and private destinations, and the best people. Together, we are dedicated to turning the vacation of a lifetime into a lifetime of vacations for our guests.

The Royal Caribbean Group’s Data Governance Team has an exciting career opportunity for a full-time Data Governance Lead reporting to the Data Governance Director
.

This position will work on-site in Miramar, Florida and commute between Miramar and Miami office locations as required.

This position is also not eligible for work authorization sponsorship.

The Data Governance Lead is responsible for supporting the organization’s data governance, data catalog, metadata management, and responsible AI governance capabilities. This role collaborates with business data stewards, technology teams, and governance stakeholders to improve the reliability, usability, and trustworthiness of enterprise data and AI assets.

The position supports data stewardship, data catalog, AI governance, policy implementation, issue remediation, and governance reporting activities across the enterprise. This role supports governance initiatives, facilitates cross-functional working sessions, drives adoption of standards and best practices, and contributes to reporting on governance maturity, data catalog, and compliance.

The role also supports responsible enterprise AI adoption by establishing AI governance metadata controls, lifecycle documentation, monitoring practices, and audit-ready evidence for generative AI, machine learning, and agentic AI solutions.

• DATA STEWARDSHIP
• Collaborate with business data stewards to gather, understand, and document functional requirements, data definitions, business rules, and governance expectations.
• Evaluate data against enterprise data quality standards, interpret risks and trends, and translate insights into actionable recommendations for stakeholders.
• Create, document, maintain, and promote data governance standards, policies, and solutions that support stewardship accountability, metadata consistency, and data quality improvement.
• Monitor implemented data governance solutions for continued adherence to standards, processes, controls, and stewardship operating routines.
• Participate in governance work groups and subcommittees to establish decision rights, workflows, approvals, escalations, and repeatable best practices.
• Develop partnerships with business data stewards to promote governance best practices, resolve data issues, and improve trusted usage of approved metadata.
• Champion the use of approved metadata through training, knowledge-sharing sessions, stewardship enablement, and stakeholder engagement.
• Leverage technologies such as SQL, Python, Power BI or Tableau, Azure, Databricks, workflow management tools, issue-tracking platforms, and enterprise data governance platforms to analyze data, document requirements, support stewardship workflows, and track governance actions.
• DATA CATALOG
• Own and maintain enterprise data catalog content, including business glossary terms, data domains, data products, critical data elements, data owners, data stewards, classifications, data lineage, and metadata standards.
• Partner with business and technical stakeholders to capture, validate, and maintain trusted metadata that improves data discoverability, understanding, reuse, and governance accountability across enterprise data domains.
• Define and operationalize catalog governance standards, including required metadata fields, naming conventions, certification criteria, approval workflows, stewardship responsibilities, and ongoing metadata quality expectations.
• Collaborate with data engineering, analytics, privacy, security, and architecture…