Data Management Intern — AI-Ready Data & Governance

Moody's Corporation

Charlotte (NC)

On-site

USD 40,000 - 57,000

Full time

5 days ago
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Job summary

Moody's Corporation is offering a Data Management Internship to learn and contribute to data readiness initiatives across the organization. You will work with data managers and cross-functional partners to understand taxonomies, lineage, quality and governance, while applying approved AI tools with human oversight.

The role provides hands-on experience with data migration, documentation and AI-enabled workflows in an Agile, product-centric team environment.

Qualifications

  • Pursuing an undergraduate or graduate degree in data management, information systems, computer science, business analytics, data science, statistics or related field.
  • Graduation date May 2028 – June 2029.
  • Availability to work June 7 – August 13, 2027.

Responsibilities

  • Assist with data readiness initiatives by moving data from spreadsheets to structured databases.
  • Help inventory, organize, document, cleanse and validate data for digital and AI use cases.
  • Document data concepts, common reference data, business rules and data usage practices with partners.
  • Support data lineage and source-to-target mappings under guidance of data team members.
  • Contribute to data quality checks, issue tracking and basic reporting on data readiness.

Skills

Data management
Data governance
SQL
Python
Excel
Communication
Agile teamwork

Education

Undergraduate/graduate degree in data-related field
Graduation May 2028 – Jun 2029
Availability Jun 7 – Aug 13 2027

Tools

Excel
SQL
Visualization tools

Job description

Moody's Corporation is offering a Data Management Internship to learn and contribute to data readiness initiatives across the organization. You will work with data managers and cross-functional partners to understand taxonomies, lineage, quality and governance, while applying approved AI tools with human oversight.

The role provides hands-on experience with data migration, documentation and AI-enabled workflows in an Agile, product-centric team environment.

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