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+ year(s) of experience in technical product management or data engineering for data intensive B2B products.
• You have a strong grasp of agile methodologies and processes
• Prior technical business analyst or technical product management level knowledge and experience in the data platform or data warehousing space (for example, Athena, Redshift,Snowflake, Databricks, Kafka)
• Familiarity with Data Science concepts
• Prior experience with Entity Resolution a plus
• Experience monitoring and recommending quality assurance standards
• Experience and proficiency using SQL for troubleshooting and analysis
• A driver - focused on driving actions and change; Results oriented.
• Experience working in a matrixed environment and managing a development team supplemented by external consulting or vendor resources.
• Outstanding verbal and written communication skills.
• Superb analytical skills and persistence in problem solving.
• Demonstrated initiative, enthusiasm to learn, excel and be a part of a dynamic team.
• Excellent organizational skills and attention to detail.
• You continually improve the effectiveness of your peers and the organization through your ideas, actions, and influence. You enable the team through scalable processes

Education

• Undergraduate/first-level degree (e.g., Bachelor’s) or graduate/second-level degree (e.g. MBA, Master’s)

Responsibilities

• Clearly indicate the primary functions the position is responsible for.
• Describe the role as it exists now, including critical duties and responsibilities.
• Highlight the scope and complexity of duties performed.
• Specify the autonomy level (e.g., independent or closely supervised).
• Arrange duties logically (by importance, sequence, or time allocation).
• Start phrases with action verbs in the present tense.
• Replace proprietary names with generic terms (e.g., software programs).
• Avoid acronyms by spelling out the full titles where needed, and use gender-neutral language; feel free to prompt Copilot to help you craft an inclusive, gender-neutral job post.
• If needed, express the amount of time spent performing various duties - % total should add up to 100%.

About the Team:

Join the Data Estate Operating Unit at Moody’s Analytics—an innovative team driving the future of data management and analytics. We’re building a resilient data platform that powers strategic growth and supports GenAI use cases across the enterprise. Our collaborative environment values transparency, quality, and innovation. As part of this team, you’ll help shape Moody’s digital presence and make a meaningful impact on our clients and the industry.

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.

For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet

Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.