Assistant Director-Data Governance

ResponsibilitiesDrive the governance, quality, and integrity of critical data assets across the Relationships domain to ensure trusted, well-managed, and business-ready data.

• Support governance of Ownership, Individuals, and Sanctions data domains by defining and maintaining data standards, business rules, critical data elements, metadata, and data quality controls to ensure data is trusted, consistent, and fit for purpose
• 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 where appropriate
• Facilitate governance forums and influence stakeholders to promote data accountability and adoption of best practices
• Contribute to strategic data transformation and process improvement initiatives

• Experience working with Ownership, Individuals, or Sanctions data, including management of complex ownership structures, entity relationships, individual and contact information, and regulatory data attributes
• 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
• DAMA Certified Data Management Professional or related Data Management certification preferred
• Experience with metadata management, data lineage, data catalog, or data quality tooling preferred
• Familiarity with Structured Query Language and data analysis techniques preferred
• Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use., * Bachelor’s degree or equivalent experience in Data Management, Information Management, Business, Finance, Computer Science, or a related field

At Moody’s, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.