Dir-Data Management
Key Skills for This Role
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Skills and Competencies
- Strong strategic leadership and people-management capabilities, including the ability to coach leaders, build organizational capability, and develop high-performing teams across multiple geographies
- Deep understanding of data management, data quality, coverage, enrichment, remediation, governance, lineage, and operational controls in a complex, large-scale data environment
- Demonstrated ability to establish priorities, define measurable outcomes, manage capacity, and facilitate portfolio trade-off decisions based on strategic value, customer impact, and risk
- Strong stakeholder-management and influencing skills, including the ability to build alignment across senior, cross-functional stakeholders including Sales, Product, Engineering, and Data Governance
- Working knowledge of SQL and modern data and analytics platforms, with proficiency in Excel, Power BI, PowerPoint, and generative AI tools such as Copilot; experience with Python and Databricks preferred
- Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization
Education
Bachelor's degree in data management, data science, information systems, computer science, business, finance, economics, or a related discipline
Master's degree in a relevant discipline or an MBA is preferred
Equivalent combinations of education and directly relevant professional experience may be considered
Responsibilities
- The Director – Data Management defines and executes regional strategy for data quality, coverage, enrichment, and operational excellence across Moody's Company Data, leading teams and driving scalable, technology-enabled data capabilities.
- Define and own the regional strategy for data quality, coverage, enrichment, and operational excellence, ensuring alignment with Moody's broader Company Data strategy, business priorities, and customer needs
- Lead, coach, and develop managers and individual contributors across multiple geographies, building a strong leadership bench by identifying, developing, and retaining high-potential talent
- Own end-to-end accountability for regional data quality and coverage outcomes, ensuring remediation and enrichment efforts meet defined standards, governance, lineage, and audit requirements
- Serve as a strategic partner to Sales, Product Strategy, Content, Engineering, and other key teams to translate business and customer needs into scalable data initiatives and roadmap priorities
- Provide senior oversight of multiple data remediation, enrichment, and transformation initiatives across the region, ensuring alignment to strategic goals, adequate resourcing, and measurable impact
- Monitor regional performance metrics related to data quality, coverage, efficiency, and throughput, using insights to inform strategic decisions, prioritize investments, and present findings to senior leadership
- Sponsor and approve technical proposals for process optimization, automation, and AI-enabled remediation, leveraging tools such as Databricks, Power BI, and generative AI platforms to improve scalability and efficiency
- Ensure robust quality control frameworks are in place and consistently applied, sponsoring periodic audits and reviews to validate adherence to data standards and governance requirements
About the Team
Our Data Management team is responsible for driving data quality, coverage, enrichment, and operational excellence across Moody's Company Data. We partner closely with Sales, Product Strategy, Content, Engineering, and Data Governance to translate customer and business needs into trusted, scalable data capabilities that power Moody's Analytics products and services globally. By joining our team in India, you will be part of a forward-thinking, technology-enabled environment where data-driven decision-making, automation, and AI-enabled innovation are at the core of how we work — helping Moody's deliver accurate, consistent, and complete data to clients around the world.
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.
Requirements
- Strong strategic leadership and people-management capabilities, including the ability to coach leaders, build organizational capability, and develop high-performing teams across multiple geographies
- Deep understanding of data management, data quality, coverage, enrichment, remediation, governance, lineage, and operational controls in a complex, large-scale data environment
- Demonstrated ability to establish priorities, define measurable outcomes, manage capacity, and facilitate portfolio trade-off decisions based on strategic value, customer impact, and risk
- Strong stakeholder-management and influencing skills, including the ability to build alignment across senior, cross-functional stakeholders including Sales, Product, Engineering, and Data Governance
- Working knowledge of SQL and modern data and analytics platforms, with proficiency in Excel, Power BI, PowerPoint, and generative AI tools such as Copilot; experience with Python and Databricks preferred
- Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization
About Moody's
Global integrated risk assessment firm and provider of financial analytics.
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