Data Management Intern: AI-Driven Data Quality

PassFort; Charlotte (NC); On-site; USD 40,000 - 57,000; Full time

Job summary

Moody's Ratings Data and Business Digitalization internship offers hands-on experience in data readiness, governance, and AI-enabled processes across the organization. You will work with data taxonomies, lineage, quality, and migration, under guidance from data managers and partners in Agile teams.

The program emphasizes responsible AI use, structured databases, and collaboration across product, technology and process teams.

Qualifications

• 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

Responsibilities

• We are seeking a Data Management Intern to learn and contribute to data improvement and data readiness initiatives across the organization.
• The intern will gain practical exposure to data taxonomies, data concepts, lineage, quality, governance and migration activities that support modern digital solutions.
• The internship will provide hands-on learning in how well-prepared, trusted and accessible data supports AI-enabled workflows.
• The intern will learn to use approved AI tools responsibly to research, organize, summarize, validate and enhance work products, while applying human review and established data governance practices.
• 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

Skills

Data management

Data governance

Excel

SQL

Python

Visualization tools

Databases concepts

AI tools

Communication

Agile teamwork

Education

Undergraduate or graduate degree in data management or related field

Graduation May 2028 – June 2029

Availability June 7 – August 13 2027

Tools

Visualization tools

SQL

Python

Job description

Moody's Ratings Data and Business Digitalization internship offers hands-on experience in data readiness, governance, and AI-enabled processes across the organization. You will work with data taxonomies, lineage, quality, and migration, under guidance from data managers and partners in Agile teams.

The program emphasizes responsible AI use, structured databases, and collaboration across product, technology and process teams.