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Job Description

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.

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