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Charlotte, NC

Internship

Onsite

$35/hr - $35/hr

Intern

Moody’s is a global leader in ratings and integrated risk assessment that is advancing AI to help clients navigate uncertainty. The Data Management Summer Intern will support data improvement, data readiness, governance, quality, lineage, migration, and responsible generative AI initiatives while collaborating with cross-functional Agile teams.

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Responsibilities

Assist with data readiness initiatives by helping to move data out of manual sources such as spreadsheets and into structured, accessible databases
Support data readiness activities by helping inventory, organize, document, cleanse and validate data needed for digital and AI-enabled use cases
Assist with reviewing data taxonomies and attributes for key workflow datasets, identifying inconsistencies and documenting potential improvements
Help develop harmonized data requirements and definitions that improve data usability, consistency and quality
Participate in documenting data concepts, common reference data, business rules and sound data usage practices with relevant partners
Support the creation and maintenance of data lineage and source-to-target mappings under the guidance of data team members
Assist with data quality checks, issue tracking and basic reporting on data readiness measures and observed process performance
Contribute to data migration and rationalization activities, including comparing legacy content with modern data structures and documenting findings
Learn how data governance, access controls and change-management practices help make data trusted and appropriate for AI use
Use approved AI tools to enhance deliverables such as data documentation, summaries, requirements, presentations and analysis, with appropriate validation, source checking and human oversight
Explore AI-assisted approaches for identifying patterns, gaps, duplicates or inconsistencies in structured and unstructured data, while following applicable policies and controls
Work with technology, data, process and product partners in Agile teams to understand business needs and support incremental improvements
Contribute to training materials, communications and rollout activities for data, technology and AI-related changes
Bring curiosity, new ideas and thoughtful questions that challenge assumptions and improve how the team manages and uses data

Qualification

Required

Interest in data management, data governance, data quality, digital transformation and generative AI
Foundational experience through coursework, projects or extracurricular activities using data tools such as Excel, SQL, Access, Python, visualization tools or similar technologies
Interest in learning approved AI tools and responsible AI practices to improve the quality, clarity and efficiency of deliverables
Ability to work with structured and unstructured information, follow documented processes and pay close attention to detail
Strong written and verbal communication skills, with the ability to explain findings clearly and ask effective questions
Collaborative mindset, intellectual curiosity and willingness to learn in a cross-functional, Agile environment
Ability to review AI-assisted outputs critically, verify accuracy and protect confidential or sensitive information in accordance with company requirements
Currently pursuing an undergraduate or graduate degree in data management, information systems, computer science, business analytics, data science, statistics or a related field
Graduation date of May 2028 – June 2029
Ability to work during program dates: June 7th - August 13th 2027

Preferred

Basic understanding of databases, data structures, data lineage or data governance concepts is helpful but not required

Benefits

In a world shaped by increasingly interconnected risks, Moody’s helps customers develop a holistic view of these risks to advance their business and act decisively.

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