Assistant Director - Data Specialist (Salford)

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. 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.

• Strong technical expertise in SQL and Python for data analysis, validation, and remediation, enabling accurate and scalable data operations.
• Proven experience in data quality management and remediation processes, ensuring completeness, consistency, and reliability of large datasets.
• Experience coordinating cross-functional stakeholders and contractor resources to maintain operational continuity and quality output.
• Knowledge of data processing frameworks, including ETL pipelines, data integration, and data modeling (experience with Databricks or Spark preferred).
• Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency.
• Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use.

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.

• Deliver 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 incidents.
• Execute remediation activities using SQL and Python to analyze, validate, and improve data quality across multiple datasets.
• Monitor and enhance data quality by ensuring accuracy, completeness, and consistency through structured processes and controls.
• Execute data workflows, pipelines, and integration processes to support efficient and reliable data operations.
• Coordinate contractor resources, including task allocation, onboarding support, and quality oversight to ensure consistent delivery.
• Produce operational reporting on volumes, trends, risks, and performance metrics to support decision-making.
• Collaborate with cross-functional teams to address root causes, improve remediation playbooks, and align with data strategy objectives.
• Escalate complex or high-risk issues with structured insights and recommendations to support timely resolution.

Our 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.

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.