AVP-Data Governance & Data Quality

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

• 7+ years of experience in data management, data governance, or data quality roles, with 3+ years in a leadership or AVP capacity
• Proven ability to build and operationalize data governance frameworks, including policies, standards, and ownership models
• Hands-on experience governing CRM platforms (e.g., Salesforce), including data models, validation rules, and lifecycle workflows
• Intermediate SQL proficiency to query datasets, perform profiling, validate business rules, and investigate anomalies
• Experience designing data quality rules, deduplication logic, survivorship workflows, and operational monitoring
• Strong understanding of account/contact structures, hierarchies, and investor relationships within a CRM context

Preferred:

• Experience with data quality tools to support automated monitoring and diagnostics
• Familiarity with privacy and communication regulations (GDPR, CAN-SPAM, CCPA)
• Experience applying AI/machine learning techniques to data quality challenges
• Experience building dashboards and conducting customer behavior analysis (e.g., engagement metrics, funnel analyses, cohort studies)

Education

• Bachelor’s degree in Business, Finance, Data Science, Engineering, Information Systems, or a related discipline is required
• Advanced degree (MBA or Master’s in Data Science / Information Systems) is preferred

Responsibilities

Lead the development and execution of data governance strategies for CRM and customer data to ensure long-term quality and integrity

• Develop and execute enterprise-wide data governance strategies for customer and investor data
• Establish data quality rules, dashboards, SLAs, and monitoring mechanisms for ongoing validation
• Create and maintain data dictionaries, glossaries, lineage maps, and governance documentation
• Define and enforce golden-record strategies, managing deduplication and entity-resolution workflows
• Ensure compliance with privacy, consent, and retention regulations across global markets
• Conduct root-cause analyses and lead data remediation sprints in partnership with Technology and business teams
• Partner with Technology, Product, and Operations to design next-generation CRM data architecture
• Define governance requirements for integrations between CRM and other enterprise systems
• Develop training materials and adoption programs to support governance practices
• Monitor CRM usage and data-entry behavior, recommending improvements to increase data quality
• Lead the analysis of customer and investor behavior across outreach channels and analytics platforms
• Identify trends, pain points, and segmentation opportunities to inform targeted outreach and product improvements
• Partner with Outreach Leads to translate insights into actionable recommendations
• Advise business leaders on data governance best practices and emerging tools
• Mentor the Outreach operations team, supporting skill development and operational excellence

About the team
Our Data Quality and Governance team is responsible for developing and executing strategies that ensure the accuracy, consistency, and long-term integrity of Moody's customer and investor data. We contribute to Moody’s by partnering with Technology, Product, and business teams to build robust data frameworks; ensuring compliance with global data privacy regulations; and providing data-driven insights on customer behavior to inform outreach and product strategy. By joining our team, you will play a critical role in maturing Moody’s data governance capabilities and driving data-informed decisions across the enterprise.

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.