Data Management Associate

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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. 

Job Description:

The Ratings Process and Data team drives data and process design and change management for scalable digitization across critical business initiatives including workflows, analytics and ESG services. 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 Investors Service (MIS), our Ratings Platform Development team leads the design and adoption of new processes and data workflows that enable digital transformation and scalability across the organization globally.

We are hiring a Data Management Associate to assist in data improvement initiatives across the organization. They will work closely with cross-functional teams and data managers that adopt Agile operating methods. They will support the creation of data lineage flows, participate in designing databases and data taxonomies, help define data elements and data concepts for end-users, be involved with rationalizing database content and supporting data migration into a modern, cloud-based data infrastructure and establish a data storage plan. They will support multi-year initiatives to transform Ratings and Research’s (R&R) work processes to support digitization and adoption of generative AI technologies. These include the full range of workflow, rating and research, ESG and other activities. These initiatives are directly tied to firm-wide objectives.

The Data Management 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, analyse and continuously improve data taxonomies and data attributes for key workflow data sets to support digital solutions.

• Assist in developing an initial set of harmonized data requirements contributing to efficiency and quality enhancements.

• Participate in the definition of data concepts, common reference data and establish sound data usage practices with relevant partners.

• Partner with technology, data, and process teams to develop next generation data structure plan including creating databases, supporting data migration activities, and establishing data governance practices.

• Identify and assess a new and/or third-party data source for use within a business workflow.

• Support senior data managers to engage across key MIS partners to determine the data required to deliver the target state service solution and map the end-to-end data lineage.

• Cleanse, validate and migrate data elements from legacy databases to modern data infrastructure.

• Assist in designing and monitoring key performance indicators related to key data processes and data quality and monitor and report on observed process performance including to suggest data improvements.

• Contribute to a rigorous and consistent framework to govern data changes and align this approach with partner teams.

• Challenge the status quo and provide an innovative way of thinking for out-of-the-box data. solutions, data performance metrics and new or third-party data sources.

• Work in Agile pods to define business data requirements for digital technology solutions, identify any opportunities to improve and re-develop technology solutions with Product Owners.

• Collaborate with our learning and process teams to develop data training, communication plans and roll-out plans for key data and technology changes.

Qualifications:

• Preferred Bachelor’s degree in: Information Systems, Computer Science, Data Management, Economics, Finance, or related major.

• 2 - 3 years of demonstrable experience in data management and data transformation roles.

• Experience using Master Data Management and Data Governance tools such as SQL, dBeaver, Access, Collibra.

• Understanding of Agile methodologies.

• Knowledge of database structures, data lineage mapping, data governance reporting.

• Experience working with unstructured data.

• Experience working with customers and/or users to understand data requirements and use cases.

• Proficient communication skills to simplify complex themes.

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.