Assistant Director - Data Specialist

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 CompetenciesStrong technical expertise in SQL and Python for data analysis, validation, and remediation, enabling accurate and scalable data operationsProven experience in data quality management and remediation processes, ensuring completeness, consistency, and reliability of large datasetsAbility to operate in fast-paced, client-facing environments, managing competing priorities and delivering against tight deadlines and service level agreementsExperience coordinating cross-functional stakeholders and contractor resources to maintain operational continuity and quality outputKnowledge of data processing frameworks, including ETL pipelines, data integration, and data modeling (experience with Databricks or Spark preferred)Strong analytical and problem-solving skills with the ability to communicate clearly to both technical and non-technical stakeholdersBasic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiencyInterest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical useEducationBachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related fieldResponsibilitiesDeliver high-quality data remediation and operations support, ensuring accurate, timely, and scalable data solutions in a client-facing environment.Act as a primary point of contact for data remediation issues, triaging, prioritizing, and resolving critical client-facing data incidentsExecute remediation activities using SQL and Python to analyze, validate, and improve data quality across multiple datasetsMonitor and enhance data quality by ensuring accuracy, completeness, and consistency through structured processes and controlsExecute data workflows, pipelines, and integration processes to support efficient and reliable data operationsIdentify and implement opportunities for automation and process improvements to enhance operational efficiencyCoordinate contractor resources, including task allocation, onboarding support, and quality oversight to ensure consistent deliveryTrack remediation activities, maintain documentation, and monitor progress against timelines, service levels, and operational targetsProduce operational reporting on volumes, trends, risks, and performance metrics to support decision-makingCollaborate with cross-functional teams to address root causes, improve remediation playbooks, and align with data strategy objectivesEscalate complex or high-risk issues with structured insights and recommendations to support timely resolutionAbout the TeamOur Data Estate team is responsible for delivering high-quality, trusted commercial data products to clients globally. The team contributes to Moody’s by providing comprehensive and reliable data solutions that support critical business decisions, while driving data quality and operational excellence through scalable remediation and governance practices. It also enhances the accessibility and usability of data through efficient processing, integration, and analytics capabilities. By joining the team, you will be part of a fast-paced, client-focused environment, working on one of the world’s leading company data platforms.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.-