Senior Data Governance Analyst

About the role

The Senior Data Governance Analyst leads and contributes to defining, managing and governing data across product workflows to support digital transformation and AI-enabled use cases within Moody's Ratings. The role sits in the Ratings Process and Data team, which works in an Agile, product-centric model and collaborates with Product Management, UX designers, developers and control functions.

Key responsibilities

• Lead data readiness for intelligence domains 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.
• 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 with Technology and subject-matter experts.
• Oversee end-to-end data lineage, source-to-target mappings, metadata and authoritative-source rules.
• Lead data quality assessments and issue management, driving remediation with accountable owners.
• Translate prioritized use cases into build-ready requirements and roadmaps for ingestion, data models, pipelines, dashboards, reusable analytical assets and modern cloud-based infrastructure.
• Lead data rationalization and migration, including validation of migrated data and controlled retirement of redundant content.
• Partner with Product Owners and cross-functional teams in Agile delivery to deliver incremental improvements to data products and workflows.
• Guide analysts and partners on data governance standards, and lead training, communications and rollout of data, technology and AI-related changes.

Required profile

• 5+ years of demonstrable experience in data management and data transformation roles.
• Bachelor's degree in Data Science, Computer Science, Information Systems or a related field preferred; equivalent professional experience will be considered.
• Knowledge of data governance roles and frameworks and understanding of Agile methodologies.
• Proven ability to implement AI-powered solutions, with hands-on experience using AI tools and a commitment to responsible and ethical AI use.

Required skills

• SQL, including querying, joining, profiling, reconciling and validating data across relational databases.
• Master Data Management and data governance tools such as dBeaver, Access, Collibra and Microsoft Purview.
• Creating and maintaining data dictionaries, database structures, data lineage mapping and data governance reporting.
• Proficient communication skills to explain complex topics to cross-functional audiences.

What we offer

• Anticipated base salary range of $103,800 to $150,600 for US-based roles, depending on experience, education, level, skills and location.
• Incentive compensation eligibility.
• Medical, dental, vision, parental leave, paid time off, 401(k) plan, life, disability and accident insurance, employee stock purchase plan and tuition reimbursement.