AVP-Data Management

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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. 

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 an Assistant Vice President - Data Management to design, develop and implement data improvement initiatives across the organization. They will work closely with cross-functional teams and senior data managers that adopt Agile operating methods. They will develop and define data elements and data concepts for end-users, rationalise database content and support data migration into a modern, cloud-based data infrastructure and establish a data storage plan. They will be a change agent for 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. They will create and implement a robust Data Migration plan to support the multi-year initiative. These initiatives are directly tied to firm-wide objectives and would involve regular exposure to senior leaders around the business and technology improvements.

The AVP - Data Management role will define, manage and govern the data used across several product workflows, acting with support from senior data team members. Core accountabilities include:

• Investigate, define and continuously improve data taxonomies and data attributes for key workflow data sets to support digital solutions.
• Develop initial set of harmonized data requirements contributing to efficiency and quality enhancements.
• 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.
• Engage across key MIS partners to determine the data required to migrate data to the target state service solution and map the end-to-end data lineage.
• Identify, normalize, standardize, clean, validate and migrate data elements from legacy databases to modern data infrastructure.
• Create, Oversee, and Implement a robust migration plan to support Data migration based strategic scope.
• Design and monitor key performance indicators related to key data processes and data quality and monitor and report on observed process performance including to suggest data improvements.
• Establish 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.
• Be the key point of contact for relevant databases for reporting and data analysis.
• 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
• Implement a Data service model to support Internal Team requests for reporting request out of Legacy system. Proficient in SQL required.

Qualifications:

• 8+ years of demonstrable experience in data management and data transformation roles
• Hands-on experience using Master Data Management and Data Governance tools such as SQL (required), dBeaver, Access, Collibra, Confluence, Jira
• Proficient in Agile methodologies
• Demonstrated experience curating, rationalizing and synthesizing a large database, bringing order and rigor to unstructured data environments and enhancing accuracy.
• Demonstrated experience to redesign and improve data content and data lineages on aspects of an enterprise level project.
• Communicated to senior management frequently, including to simplify complex themes and present recommendations for consideration.
• Professional data management qualifications (degree, diploma, certificate, etc.) and process certification (i.e., Yellow/Greenbelt) are pluses.
• Experience synthesizing customer and/or user views into critical requirements that were successfully embedded in process flows or digital applications.
• Highly proficient communication skills to simplify complex themes and present recommendations to leadership.
• Ability to influence, navigate ambiguity and drive consensus to achieve objectives.

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.