Job Description

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.


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.


Welcome to the Data Estate business unit at Moody's Analytics, where we are pioneering the future of data management and analytics in Moody's Analytics. Our mission is to deliver precise, timely data with a commitment to innovation.



At Data Estate, we focus on enhancing Moody's digital presence and improving customer engagement through innovative data solutions. Our team is dedicated to enforcing and evolving our data quality framework, improving transparency into our data assets, and strategically growing new and existing information providers. We are committed to ensuring our data is ready for an expanding set of GenAI use cases and maintaining tight alignment with the teams we support.



We are building a resilient data platform that supports our strategic priorities and drives long-term, sustainable growth for the business.



Join us at Data Estate and be part of a dynamic team that is shaping the future of data management. We offer a collaborative environment where your contributions will have a meaningful impact on our clients and the industry. If you are passionate about data quality, governance, and innovation, we invite you to explore opportunities with us and help us deliver exceptional results.







The Product Manager will be responsible for a data engineering squad for one of Moody's Analytics' most critical data platforms. Our data platform has a bias towards rapid shipping and delivery of new data sets. The Product Manager will drive towards effective delivery and help unblock team members and decisions efficiently. Specifically, the Product Manager will focus on the Entity Management product/process within Entity Resolution - this involves formalising business rules, straight-through-processing decisions, tooling for internal data analysts and managing identifiers to arrive at a rational and trackable set of resolved entities.



This position is part of the Data Product Management Team, a dynamic, analytical group that is curious about data but relentlessly focused on driving value for customers and the business.

Responsibilities:

Partner with our Data Platform Product Owner, Data Governance, Quality Assurance, Data Engineering and internal Product Development teams to bring new data sets to market Collaborate with the data engineering team to understand complexity of various solutions and participate in decision making to choose the right implementation approach to solve customer problems Manage an agile scrum team and all associated ceremonies Facilitate alignment and communication across data and product development squads to monitor interdependencies and make sound decisions Responsible for managing a backlog of work for the data engineering team; creating user stories, bugs, and tasks to accomplish the roadmap initiatives Responsible for ensuring data is deployed successfully and coordinate effectively with the release management team within Operations, Data Quality and Data Governance Establish strong and collaborative relationships with data strategy partners to ensure effective and accurate delivery of new data sets and evolution of existing data Ensure that all data quality standards are met and that our best practices around high-quality data delivery are instantiated in our stories and priorities Gather appropriate stakeholder input to build, prune, and maintain the product backlog, consisting mostly of user stories, but also defects, production support tickets, refactors and infrastructure work, prioritized based on user value, time dependencies, risk reduction and effort Identify opportunities to automate tasks, leverage technology and streamline the delivery of data Identify and mitigate risk and ensure controls are in place throughout the data delivery lifecycle

Qualifications:

Undergraduate/first-level degree (e.g., Bachelor's) or graduate/second-level degree (e.g. MBA, Master's) 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 organisational skills and attention to detail. You continually improve the effectiveness of your peers and the organisation through your ideas, actions, and influence. You enable the team through scalable processes

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.