Senior Analyst, Data Governance Domain Steward
Royal Caribbean GroupAbout the role
Journey with us! Combine your career goals and sense of adventure by joining our exciting team of employees. Royal Caribbean Group (RCG) 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 Senior Data Governance Domain Steward reporting to the Data Governance Lead.
This position will work on-site in Miramar & Miami, Florida.
POSITION SUMMARY:
The Senior Data Governance Domain Steward’s primary responsibilities include the oversight of RCG’s organization's data assets to ensure that data is accurate, accessible, consistent, and protected. This position is also responsible for implementing and maintaining data governance policies, ensuring data quality, and facilitating proper data remediation and data usage across the organization.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
Key aspects include ensuring data is treated as a valuable asset, managed responsibly, and used to its fullest potential while minimizing risks associated with data management. Focus will include stewardship support for Product and Revenue data domains.
- Data Governance
Establish standard and enforce policies and procedures for data management, including data classification and usage. Ensure data governance practices comply with regulatory and legal requirements.
- Establish and maintain data domain standards.
- Set clear practices for collecting and documenting data providing a comprehensive guide on Data Stewardship processes and best practices.
- Data Lifecycle Management
Ensure data is appropriately documented and maintained.
- Collaborate with enterprise data users to identify, document, refine and validate requirements with business data stewards.
- Define and execute processes for how data quality will be remediated with data stewardship, improving communication and understanding of the data and business needs.
- Metadata Management
Maintain accurate and up-to-date metadata, including information about the origin, structure, and usage to help with understanding the context and lineage of the data.
- Partner with business data stewards to assist with defining business terms and populating the enterprise business glossary.
- Manage metadata through the data catalog template and enterprise data catalog tool.
- Define how documentation, including metadata, critical data elements (CDEs), and business terms, will be managed and adapted to various situations.
- Data Quality Management
Ensure data is accurate, complete, timely, and reliable. Set data quality standards and continuously monitor and improve data quality.
- Perform data profiling and quality checks to determine if data quality meets documented governance standards.
- Create data quality validation rules, data quality dimensions, and data flows artifacts in preparation for technical teams to initiative their tasks.
- Generate routine reporting on data quality assessments for issue prioritization.
- Troubleshoot the source of data quality issues and establish remediation best practices.
- Collaboration & Communication
Act as a bridge between departments and data users to ensure that data is used effectively and consistently across the organization.
- Acqui
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