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Moody's is seeking an Assistant Director of Data Governance to drive governance, quality, and integrity of critical data assets across the Relationships domain. This role is part of the Data Estate team, which empowers trusted, scalable data capabilities supporting Moody's Analytics products and enabling informed decision-making globally.
Key responsibilities include:
- Govern Ownership, Individuals, and Sanctions data domains by defining and maintaining data standards, business rules, critical data elements, metadata, and data quality controls
- Partner with business and technology stakeholders to define data requirements, business rules, data definitions, and ownership responsibilities
- Drive data quality initiatives through measurement, monitoring, root cause analysis, and remediation programs
- Develop and maintain data governance artifacts including business glossaries, metadata, data definitions, and governance documentation
- Support master and reference data management practices to improve consistency, integrity, and usability of data assets
- Track governance issues, risks, and actions, ensuring timely resolution and escalation
- Facilitate governance forums and influence stakeholders to promote data accountability and adoption of best practices
- Contribute to strategic data transformation and process improvement initiatives
Required qualifications:
- Experience working with Ownership, Individuals, or Sanctions data, including management of complex ownership structures and entity relationships
- Proven experience in Data Governance, Data Quality, Data Management, or related disciplines
- Strong understanding of Data Governance, Data Quality, Metadata Management, and Master Data Management principles
- Experience defining and implementing data quality controls, metrics, and remediation processes
- Strong analytical, problem-solving, communication, and stakeholder management skills
- Ability to manage multiple priorities and work effectively across business and technology teams
- Bachelor's degree or equivalent experience in Data Management, Information Management, Business, Finance, Computer Science, or related field
Preferred qualifications:
- DAMA Certified Data Management Professional or related Data Management certification
- Experience with metadata management, data lineage, data catalog, or data quality tooling
- Familiarity with SQL and data analysis techniques
- Basic understanding of AI concepts and curiosity about responsible AI practices
