Data Product Manager

Skills And Competencies Employment eligibility to work in the U.S. is required, as Moody’s will not pursue visa sponsorship for this position Strong grasp of agile methodologies and delivery practices 8+ years of experience in technical product management or data engineering for data-intensive 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 artificial intelligence systems Results-oriented and action-focused 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 non-technical 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, and a growing awareness of AI risk management and responsible AI use Education Bachelor’s degree required; advanced degree such as an MBA or Master’s preferred Responsibilities 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 highest-value 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, high-quality delivery Facilitate alignment across data and product development squads to manage dependencies and support sound decision making Own and prioritize a backlog of user stories, defects, refactors, infrastructure work, and production support based on business value, platform reuse, risk reduction, and AI enablement Use AI and GenAI tools to accelerate requirements creation, summarize stakeholder input and operational insights, and support impact analysis and root cause exploration Identify opportunities to automate and augment data delivery workflows, including data quality validation, documentation, metadata management, and operational reporting Coordinate release readiness and deployments with Release Management, Operations, Data Quality, and Data Governance partners Build strong relationships with data strategy and business stakeholders to support delivery of new data sets and evolution of existing data assets Embed data quality, lineage, and governance standards into backlog items and acceptance criteria, with particular focus on data used by AI- and model-driven products Proactively identify and mitigate delivery, quality, privacy, and operational risks across the data lifecycle About The Team The Data Estate Data Platform team is part of the broader Data Product Management organization at Moody’s Analytics. The team is a dynamic, analytical group with a strong bias toward rapid and reliable delivery of high-quality data assets. The team partners closely with data engineering, governance, and product development groups to bring trusted, well-governed data to market, enabling analytics- and AI-driven products that create meaningful value for customers and the business. Compensation & Benefits For U.S.-based roles only: the anticipated hiring base salary range for this position is $142,500.00 - $206,700.00, depending on factors such as experience, education, level, skills, and location. This range is based on 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, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement. Equal Opportunity Employer Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email View email address on click.appcast.io. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications. For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance. This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act. #J-18808-Ljbffr Moody's Corporation