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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
Position Summary:
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
Essential Duties and Responsibilities:
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 workgroups 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
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 teams to ensure catalog entries accurately reflect source systems data flows lineage usage context sensitivity classifications- and compliance requirements
Promote catalog adoption by supporting training steward enablement metadata completeness tracking glossary usage- and continuous improvement of catalog workflows and governed data asset documentation
Use data catalog capabilities to support responsible AI and analytics by ensuring approved data assets are searchable trusted properly classified traceable- and aligned with enterprise governance standards
Use data catalog and metadata management technologies such as Microsoft Purview Collibra Databricks Unity Catalog or similar platforms to manage metadata lineage glossary terms classifications certifications- and governed data assets
Identify and document data quality requirements and rules
Create enhance and ensure adherence to data quality standards
Develop key performance indicators to monitor and track data integrity
Work with technical and non-technical stakeholders across the organization to measure the quality of our datasets across multiple data domains and help monitor compliance
Troubleshoot the source of data quality issues and provide a path to remediation
Identify define and contribute to data quality process improvement efforts
Design and execute data remediation measures and implement solutions for data accuracy and reconciliation
Use data quality and observability technologies such as Ataccama Collibra Data Quality & Observability Microsoft Purview Data Quality Databricks Azure Data Factory and BI dashboards to define rules profile data monitor anomalies track KPIs- and manage remediation
Support the implementation of AI governance frameworks policies standards operating procedures and oversight routines aligned to responsible AI principles enterprise risk management privacy security
- and regulatory expectations
Partner with Data Science Legal Privacy Cybersecurity Compliance Product- and business teams to identify risks related to the use of metadata in AI and GenAI solutions
Support oversight of AI governance platforms metadata catalogs and policy enforcement workflows that provide visibility control- and traceability across enterprise AI initiatives
Apply AI governance and model oversight technologies such as Microsoft Purview AI Hub OneTrust AI Governance Collibra AI Command Center Databricks Unity Catalog and monitoring platforms to support AI inventories assessments approvals lifecycle evidence- and audit readiness
QUALIFICATIONS:
Qualified candidates require knowledge of data governance metadata management data quality and responsible AI governance including:
BS Degree in Mathematics Economics Computer Science or Information Management
6+ years of progressive experience in data governance data management data quality reporting analytics- or a related enterprise data role
3+ years supporting the governance stewardship quality delivery or lifecycle management of enterprise data products data domains- or critical data assets
Excellent knowledge of SQL
Qualified with Azure Cloud and Databricks technologies
Experience in a modern programming language such as Python
Experience supporting AI governance responsible AI or technology programs; familiarity with frameworks such as NIST AI RMF ISO/IEC 42001 EU AI Act concepts- and privacy/security-by-design practices preferred
Hands-on or working knowledge of enterprise AI governance and data governance platforms such as Microsoft Purview Collibra OneTrust AI Governance Databricks Unity Catalog or similar tools
SKILLS:
Working knowledge of the Data Management Association (DAMA) framework including the ability to apply its data management principles to support enterprise data governance stewardship data catalog metadata data quality
- and lineage initiatives
- Experience with Data Governance concepts including master and metadata management
Understanding of data technologies cloud data platforms metadata management data lineage data quality tooling- and their application across enterprise data domains
Expert-level data background and knowledge of software development methodologies
Expertise with GDPR & CCPA/CPRA and other country and state regulations-
Strong communication skills including the ability to prepare clear recommendations dashboards presentations decision documents- and risk narratives for technical and non-technical audiences
Ability to operate independently manage competing priorities- and drive outcomes in a complex and fast-paced environment
Strong analytical problem-solving facilitation- and critical-thinking skills with the ability to synthesize complex information and support practical governance decisions
- Flexibility to operate within multiple time zones
Agency and Third-Party Submissions: Please note this is a direct search by the Company and applications through agencies and other third parties will not be accepted nor will fees be paid for unsolicited resumes Any unsolicited resumes will be considered the Company's property
We know there's a lot to consider As you go through the application process our recruiters will be glad to provide guidance and more relevant details to answer any additional questions Thank you again for your interest in Royal Caribbean Group We'll hope to see you onboard soon!
It is the policy of the Company to ensure equal employment and promotion opportunity to qualified candidates without discrimination or harassment on the basis of race color religion sex age national origin disability sexual orientation sexuality gender identity or expression marital status or any other characteristic protected by law Royal Caribbean Group and each of its subsidiaries prohibit and will not tolerate discrimination or harassment
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