Asst Dir-Data Operations

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 5+ years of experience in data operations, data management, data quality, data analytics, automation, or related roles, with strong understanding of end-to-end data lifecycle processes Proven people management experience, including leading, coaching, and developing team members while managing workload prioritization, performance, and delivery outcomes Strong SQL expertise with the ability to write, review, and optimize queries for data extraction, transformation, validation, quality checks, and reporting Working knowledge of Python (e.g., Pandas, NumPy) to manipulate, validate, and analyze data in support of operational workflows and automation Hands-on experience with JIRA or similar tools to create, maintain, prioritize, and track work items, risks, dependencies, and delivery status Solid understanding of data quality frameworks including accuracy, completeness, consistency, validation, remediation, deduplication, and issue resolution Knowledge of data operations workflows, data pipelines, ETL processes, data integration, and governance, combined with strong analytical and problem-solving capabilities to identify root causes and drive scalable solutions Exposure to artificial intelligence and Generative AI tools, with the ability to apply AI-driven approaches to enhance data quality, automate processes, improve operational efficiency, and support responsible AI adoption Education Bachelor’s degree in Information Systems, Business Administration, Data Management, Data Science, Computer Science, Engineering, Economics, Finance, or a related field Equivalent professional experience in data operations, people leadership, or operational management may also be considered