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Asst Dir-Data Quality

Job in New York, New York County, New York, 10261, USA
Listing for: Moody's Investors Service
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 103800 - 150600 USD Yearly USD 103800.00 150600.00 YEAR
Job Description & How to Apply Below
Location: New York

Overview

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 quality management or engineering, preferably within a commercial setting
  • Must have databricks experience
  • Proficiency in data monitoring and reporting tools such as Alteryx, Python, SQL, MS Fabric, MS Power

    BI, and MS Excel
  • Solid working knowledge of Salesforce
  • Proven experience working in a multi-functional team, with a strong understanding of data integrity and change management processes
  • Excellent communication skills, with the ability to liaise effectively with both business and technical teams
  • Detail-oriented with strong analytical skills and experience performing root-cause analysis for data quality issues
  • Ability to leverage AI technologies to enhance decision-making and streamline data quality processes
  • Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using tools like Copilot and ChatGPT to streamline workflows and enhance operational efficiency.
  • Proven ability to implement AI-powered solutions, including agentic AI systems, to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use.
Education
  • Bachelor’s or Master’s degree in Data Management, Computer Science, Information Systems, Business Analytics, or a related field
Responsibilities
  • Develop and implement a comprehensive data quality strategy, defining quality standards, metrics, and KPIs for critical data assets
  • Assess current data quality to identify gaps, inconsistencies, and anomalies, and evaluate the impact on business processes
  • Design and implement automated and manual data validation processes; oversee data cleansing activities to remediate errors in large datasets
  • Establish and enforce data governance policies, processes, and standards, collaborating with data stewards, IT, and business units
  • Develop workflows and controls for ongoing data quality monitoring, including automated alerts and dashboards
  • Create and maintain detailed documentation of data quality processes, standards, and tools
  • Develop and present regular reports on data quality metrics, trends, and improvement initiatives to senior leadership
  • Provide insights and recommendations to improve data quality based on analytical findings
About the team

Our Data Management and Governance team is responsible for ensuring the integrity, reliability, and usability of the organization's data across multiple systems and domains. By joining our team, you will be part of exciting work in developing and implementing comprehensive data quality strategies aligned with organizational goals, establishing and enforcing data governance policies, processes, and standards across the organization and leveraging AI technologies to enhance decision-making, streamline processes, and drive innovation.

Compensation

and Benefits

For US-based roles: anticipated base salary range is $–$, depending on experience, education, level, skills, and location. This range is for a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including medical,…

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