Data Mgmt & Governance Associate

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

• 1+ year of proven experience in data management and transformation roles, with expertise in handling and analyzing complex data sets.
• Advanced Excel skills, intermediate SQL proficiency, and experience with tools such as Alteryx and Power BI for data analysis and visualization.
• Strong experience in data cleansing, standardization, data quality reporting, and knowledge of data governance principles.
• Familiarity with Agile methodologies and experience working with unstructured data to meet diverse analytical needs.
• Demonstrated ability to collaborate with customers and users to understand data requirements and use cases effectively.
• Excellent communication skills, capable of simplifying complex concepts and themes for diverse audiences.

Education

• Bachelor's degree in computer science, data science or a related field is required. 

Responsibilities

This role involves close collaboration with cross-functional teams and data managers operating within Agile frameworks. Responsibilities include creating data lineage flows, designing databases and taxonomies, defining data elements and concepts for end-users, rationalizing database content, supporting data migration to a modern cloud-based infrastructure, and establishing data storage strategies. The associate will contribute to multi-year transformation projects aimed at digitizing Commercial workflows and advancing generative AI adoption. These initiatives span areas such as workflow optimization, pricing, product development, and sales, aligning directly with firm-wide strategic goals.

The Data Management & Governance Associate role will assist in defining and curating the data used across several product workflows, acting with support from data team members. Core accountabilities include:

• Investigate, analyze, and improve data governance and data quality to support digital solutions and ensure efficiency and accuracy.
• Assist in defining harmonized data requirements, data concepts, reference data, and sound data usage practices in collaboration with relevant partners.
• Partner with technology, data, and process teams to develop next-generation data structures, support data migration activities, and establish robust data governance practices.
• Identify and evaluate new and/or third-party data sources for integration into business workflows, and map end-to-end data lineage to deliver target service solutions.
• Cleanse, validate, and migrate data from legacy systems to modern infrastructure while monitoring and reporting on data quality and process performance through key performance indicators.
• Contribute to a consistent framework for governing data changes, aligning with partner teams, and driving innovative solutions, including exploring new data sources and performance metrics.
• Collaborate in Agile pods to define business data requirements, improve technology solutions, and develop data training, communication, and rollout plans for key data and technology changes.

About the team

The Commercial Data team drives data and change management for scalable digitization across critical business initiatives including data management, governance and insight. The group works collectively with stakeholders in other lines of business, Product Management, User Experience designers, developers, control functions and others to document current state processes, define critical requirements for improvement, identify and map required data elements and lead simplification initiatives. The group works in an Agile, product-centric operating model that delivers digital solutions and incremental improvements to process, data, and user tools.

As part of Moody’s Ratings our Commercial digitalization team leads the design and adoption of new processes and data workflows that enable digital transformation and scalability across the organization globally.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet

Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.