Let's begin! Assistant Director-Data Governance (14833)

Moody's Investors Service

Manchester

On-site

GBP 70,000 - 95,000

Full time

14 days+
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Job summary

Moody's Investors Service is seeking a Data Governance professional to lead governance, quality, and integrity of critical data assets within the Relationships domain. You will define standards, assess data elements, and collaborate with business and technology stakeholders to improve data trust and usability.

The role requires experience across data governance, quality, metadata, and MDM, with a focus on ownership, individuals, and sanctions data.

Qualifications

  • Experience with Ownership, Individuals, or Sanctions data domains and regulatory attributes.
  • Proven experience in Data Governance, Data Quality, or Data Management.
  • Strong understanding of Data Governance, Data Quality, Metadata Management, and Master Data Management.
  • 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 across business and technology teams.
  • DAMA Certified Data Management Professional or related certification preferred.
  • Experience with metadata management, data lineage, data catalog, or data quality tooling preferred.
  • Familiarity with SQL and data analysis techniques preferred.
  • Basic understanding of AI concepts and responsible AI practices.

Responsibilities

  • Drive the governance, quality, and integrity of critical data assets across the Relationships domain.
  • Support governance of Ownership, Individuals, and Sanctions data domains by defining standards and metadata.
  • Drive data quality initiatives through measurement, monitoring, and remediation programs.
  • Develop and maintain data governance artifacts including glossaries and metadata definitions.
  • Support master and reference data management to improve consistency and usability.
  • Track governance issues, risks, and actions with timely resolutions.
  • Facilitate governance forums and promote data accountability across stakeholders.
  • Contribute to strategic data transformation and process improvement initiatives.

Skills

Ownership data
Individual data
Sanctions data
Data Governance
Data Quality
Data Management
Metadata Management
Data lineage
Data catalog
Data analysis
SQL
AI concepts

Education

Bachelor's degree or equivalent in Data Management / related field
DAMA Certified Data Management Professional

Tools

Data governance tooling
Data quality tooling
Metadata tooling

Job description

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.

Skills and Competencies
  • 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.
Education
  • Bachelor's degree or equivalent experience in Data Management, Information Management, Business, Finance, Computer Science, or a related field
Responsibilities

Drive 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
About the Team

The Data Estate team empowers trusted, scalable data capabilities that support Moody's Analytics products and enable informed decision-making globally. As part of the Data Governance team, this role helps ensure that data is trusted, consistent, well understood, and used responsibly as a business asset. The team establishes governance policies, standards, decision rights, and accountability; supports data ownership and stewardship; develops shared data models; and strengthens data quality, metadata, lineage, reference and master data, and lifecycle practices. Working across business, product, data, technology, Legal, and Risk teams, the team transforms enterprise data strategy into practical ways of working that make data easier to find, understand, combine, protect, and use for products, analytics, artificial intelligence, regulatory compliance, and business decisions.

Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

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