First seen by Alion on Nov 4, 2026.
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.
Skills
Data Management, Data Governance, Data Quality, Data Analytics, Data Science, Artificial Intelligence

