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Sr Data Governance Analyst

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Moody's Corporation
Full Time position
Listed on 2026-11-04
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, IT Business Analyst, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 103800 - 150600 USD Yearly USD 103800.00 150600.00 YEAR
Job Description & How to Apply Below

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.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Skills and Competencies
  • 5+ years of demonstrable experience in data management and data transformation roles
  • Required:

    Proficiency in SQL, including querying, joining, profiling, reconciling and validating data across relational databases
  • Experience using Master Data Management and Data Governance tools such as dBeaver, Access, Collibra and Microsoft Purview
  • Experience creating and/or maintaining data dictionaries and with database structures, data lineage mapping and data governance reporting
  • Experience working with unstructured data and profiling and integrating data from multiple internal and third-party sources for analytics, data products, AI readiness or intelligence-domain use cases
  • Experience working with customers and/or users to understand data requirements and use cases
  • Knowledge of data governance roles and frameworks and understanding of Agile methodologies
  • Proficient communication skills to simplify complex themes for cross-functional audiences
  • Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use
Education
  • Bachelor's degree in Data Science, Computer Science, Information Systems, or a related field preferred; equivalent professional experience will be considered
Responsibilities

The Sr Data Governance Analyst leads and contributes to defining, managing and governing data across product workflows to support digital transformation and AI-enabled use cases across Moody's Ratings.

  • Lead data readiness for intelligence domains and digital and AI-enabled use cases by inventorying, organizing, documenting, cleansing, validating and assessing priority analytical, reference, market and workflow datasets
  • Define and govern harmonized data requirements, concepts, taxonomies, attributes, reference data and business rules to improve consistency, usability and quality across Moody's Ratings
  • Discover and assess internal and third-party data sources, documenting business context, ownership, consumers, licensing, access, refresh needs, dependencies and fitness for purpose
  • Profile, reconcile and connect data across domains, resolving entity, instrument, identifier, hierarchy, mapping and coverage gaps in collaboration with Technology and subject-matter experts
  • Oversee end-to-end data lineage, source-to-target mappings, metadata and authoritative-source rules to ensure transparency, traceability and controlled downstream use
  • Lead data quality assessments and issue management, using defined measures to identify…
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