Data Product Manager

13436 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.Employment eligibility to work in the U.S. is required, as Moody's will not pursue visa sponsorship for this position now or in the future * Skills and CompetenciesStrong grasp of agile methodologies and delivery practices * Experience in technical product management or data engineering for dataintensive B2B products * Prior experience in data platform, data warehousing, or analytics environments such as Snowflake, Databricks, Redshift, Athena, or Kafka * Experience defining, monitoring, and operationalizing data quality and QA standards, particularly for downstream analytics or AI consumers * Proficiency with SQL for data analysis, troubleshooting, and validation * Familiarity with how data is consumed by machine learning or AI systems * Resultsoriented and actionfocused mindset with the ability to drive delivery in complex, matrixed environments * Strong communication skills with the ability to translate complex data and platform concepts for technical and nontechnical stakeholders * Strong analytical skills, persistence in problem solving, and attention to detail * Demonstrated initiative, curiosity, and commitment to continuous improvement * Experience working with vendors or external partners in a matrixed organization * Track record of improving team and organizational effectiveness through influence and scalable processes * Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use * EducationBachelor's degree required; advanced degree such as an MBA or Master's preferred * ResponsibilitiesOwns and leads a data engineering squad responsible for building and operating one of Moody's Analytics' core data platforms, with a strong focus on delivering highquality, governed data that drives customer and business value.Own a data engineering squad, accountable for roadmap planning, execution, and delivery * Drive effective delivery by accelerating decision making, removing blockers, and keeping the team focused on the highestvalue outcomes * Partner with the Data Platform Product Owner, Data Governance, Quality Assurance, Data Engineering, and internal Product Development teams to bring new data sets to market * Collaborate closely with data engineers to understand solution complexity, evaluate architectural tradeoffs, and select implementation approaches that balance speed, scalability, cost, and AI readiness * Manage agile ceremonies including sprint planning, backlog refinement, reviews, and retrospectives to ensure consistent, highquality delivery * Facilitate alignment across data and product development squads to manage dependencies and support sound decision making * Own and p