This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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.
Job Responsibility:
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
Requirements:
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
Bachelor’s degree in Business, Finance, Data Science, Engineering, Information Systems, or a related discipline is required
Nice to have:
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)
Advanced degree (MBA or Master’s in Data Science / Information Systems) is preferred