Data Governance Analyst

Job Listing: Data Governance Analyst

 

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

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

 
This position will work remotely in the Philippines and commute to the Royal Caribbean GBS office as required

 

Position Summary:

 

The Data Governance Analyst supports Royal Caribbean Group’s enterprise data governance programs by advancing the maturity of the enterprise data catalog and helping operationalize the data stewardship model. This role is responsible for documenting trusted data assets, maintaining high-quality business and technical metadata, improving glossary definitions, supporting lineage and ownership standards, monitoring data quality, and coordinating stewardship workflows across business and technology teams.

 

The position also supports data privacy compliance, guest data inquiries, reporting, process improvement, and governance-ready data practices for analytics and AI use cases.

 

Essential Duties and Responsibilities:

 

1. Data Stewardship

• Operationalize data stewardship workflows by coordinating data owner and data steward assignments, certification reviews, glossary approvals, metadata remediation, access and policy questions, and issue escalation across business and technology teams.
• Schedule and hold meetings with business stakeholders related to stewardship assignments, glossary reviews, metadata decisions, and governance approvals.
• Partner with data stewards to define critical data elements, establish data ownership and accountability, support stewardship decision-making, and report stewardship KPIs such as completeness, certification status, issue aging, and policy compliance.
• Develop and maintain business glossary standards, including common definitions, synonyms, business rules, calculation logic, acronyms, ownership, approval status, and links between glossary terms and physical data assets.

 

1. Data Catalog

• Maintain and enhance the enterprise data catalog as a trusted inventory of critical data assets, including tables, reports, dashboards, data products, data domains, data owners, data stewards, business terms, classifications, usage context, and approved sources of record.
• Capture, validate, and maintain business, technical, operational, and governance metadata through catalog integrations, metadata harvesting, manual curation, stakeholder reviews, and ongoing metadata quality checks.
• Support lineage documentation by mapping data movement from source systems through transformations, reports, dashboards, analytical models, and downstream data products to improve impact analysis, auditability, and trust.
• Create requirements specification documents, process flow diagrams, and business process models for data catalog, metadata, glossary, lineage, and stewardship initiatives.

 

1. Data Quality

• Collaborate with data stewards and business stakeholders to define data quality rules, monitor quality results, document root causes, track remediation plans, and escalate recurring or high-impact data quality issues.
• Create SQL queries, reports, and dashboards to support data quality monitoring, guest data inquiries, privacy escalations, and stewardship KPI reporting.
• Locate, define, and execute process improvement opportunities that strengthen metadata quality, data quality controls, issue resolution, and stakeholder accountability.

 

1. Data & AI Governance

• Partner with Legal, Privacy, Security, IT, Data Science, and business teams to operationalize responsible AI requirements, including transparency, explainability, data protection, auditability, and regulatory alignment.
• Assist with AI governance platform implementation and monitoring, including tools such as Microsoft Purview, Collibra AI Governance, OneTrust AI Governance, and Databricks Unity Catalog.
• Document and govern AI use cases, datasets, and prepare audit-ready evidence for the AI lifecycle.
• Execute data subject requests and guest research escalation requests.
• Enhance and implement processes that support privacy escalations.

 

Qualifications:

• Bachelor’s degree in Computer Science, Information Management or Statistics.
• 3+ years data analyst or related experience, including proficiency with enterprise governance products or software solutions.
• 2+ years supporting governance, stewardship, quality, delivery, or lifecycle management of enterprise data products, data domains, or critical data assets. 
• Experience supporting enterprise data catalog, metadata management, data stewardship, data quality, business glossary, lineage, ownership, certification, and governance workflow initiatives.
• Practical experience working with business data owners, data stewards, data engineers, analysts, privacy teams, and technology partners to document trusted data assets and resolve metadata or data quality issues.
• Working familiarity with catalog and stewardship platforms such as Collibra, Microsoft Purview, Alation, Databricks Unity Catalog, or similar enterprise tools.