Asst Dir-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 Competencies

• 4-5 years of experience in data remediation, enrichment, or data operations, including team and project management.
• Proven experience managing teams of analysts or data specialists.
• Strong proficiency in Excel and PowerPoint for analysis and reporting.
• Working knowledge of SQL and familiarity with Power BI or Tableau or QlikView for reporting and visualization.
• Exposure to Python, PySpark, and Databricks is preferred.
• Excellent analytical, communication, and stakeholder management skills.
• Strong organizational and multitasking abilities in a fast-paced environment.

Education

• Bachelor's or Master's degree in Mathematics, Economics, Statistics, Data Science, Computer Science, or related field.

Responsibilities
Leadership & Team Management

• Lead and mentor a team of Data Specialists and Senior Data Specialists performing data remediation and enrichment tasks.
• Provide direction, feedback, and performance coaching to ensure consistent delivery and professional growth.
• Foster a team culture focused on accuracy, accountability, collaboration, and continuous improvement.
• Oversee workload management, prioritize initiatives, and ensure timely project delivery.

Data Quality & Enrichment

• Supervise end-to-end processes to correct incomplete, inconsistent, or duplicate entity data.
• Ensure validated and enriched data meets defined quality standards and governance requirements.
• Utilize Excel, SQL, and, where relevant, Python within Databricks to support data validation and process tracking.
• Maintain clear documentation of remediation activities, rationale, and outcomes.

Project Management

• Manage project timelines, deliverables, and stakeholder communication for ongoing data remediation and enrichment initiatives.
• Coordinate across cross-functional teams to ensure alignment on objectives, priorities, and resources.
• Track progress against milestones and proactively identify risks or bottlenecks.

Analysis & Insights

• Identify recurring data quality issues and patterns to uncover root causes and drive process improvements.
• Partner with business stakeholders to translate findings into actionable recommendations.
• Develop reports and visualizations in Power BI or Tableau or QlikView and presentations in PowerPoint to share insights, trends, and progress updates.

Quality Assurance

• Implement quality control measures to ensure accuracy, completeness, and consistency of remediated data.
• Conduct periodic audits and collaborate with data governance teams to refine validation rules and data standards.

Continuous Improvement

• Recommend and implement process enhancements to improve efficiency and data integrity.
• Leverage tools like Databricks, Python, and Power BI or Tableau or QlikView to streamline manual workflows and reporting.
• Stay informed about data management best practices and promote a culture of learning and knowledge sharing within the team.

About the Team:
Join a dynamic and collaborative team that thrives on innovation and data excellence. As part of a forward-thinking organization, you'll work alongside talented professionals who are passionate about leveraging data to drive business impact. Our team values continuous learning, cross-functional collaboration, and delivering high-quality solutions that support strategic decision-making.

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.