Data Product Manager (New York)

This job is with Moody's, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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

• Employment eligibility to work in the U.S. is required, as Moody’s will not pursue visa sponsorship for this position
• 8+ years of experience in technical product management or data engineering for data-intensive B2B products, with a strong grasp of agile methodologies and delivery practices
• Experience with data platforms and analytics environments such as Snowflake, Databricks, Redshift, Athena, or Kafka
• Expertise in defining, monitoring, and operationalizing data quality and QA standards for downstream analytics and AI consumers
• Proficiency with SQL for data analysis, troubleshooting, and validation, with familiarity in how data is consumed by machine learning or AI systems
• Results-oriented mindset with the ability to drive delivery in complex, matrixed environments and manage vendors or external partners
• Strong communication and analytical skills, including the ability to translate complex data concepts for technical and non-technical stakeholders and persist through problem solving with attention to detail
• Demonstrated initiative, curiosity, and commitment to continuous improvement, with experience improving team effectiveness and proficiency in AI tools, responsible AI use, and workflow optimization

Education

• Bachelor’s degree required; advanced degree such as an MBA or Master’s preferred

Responsibilities

Lead and own a data engineering squad responsible for delivering high-quality, governed data on a core data platform that drives customer and business value.

• Own squad roadmap, backlog prioritization, execution, and delivery while accelerating decision making and removing blockers to maintain focus on high-value outcomes
• Partner with Data Platform Product Owner, Data Governance, QA, Data Engineering, and Product Development teams to bring new data sets to market
• Collaborate with data engineers to evaluate solution complexity and architectural tradeoffs, balancing speed, scalability, cost, and AI readiness
• Lead agile ceremonies including sprint planning, backlog refinement, reviews, and retrospectives to ensure consistent, high-quality delivery
• Align across squads to manage dependencies, support sound decision making, and coordinate release readiness with Operations, Data Quality, and Governance partners
• Leverage AI and GenAI tools to accelerate requirements, summarize stakeholder inputs, support impact analysis, and identify automation opportunities across workflows
• Embed data quality, lineage, governance, and metadata standards into backlog items and acceptance criteria, with focus on AI- and model-driven products
• Proactively identify and mitigate delivery, quality, privacy, and operational risks across the data lifecycle while strengthening stakeholder relationships

About the Team

The Data Estate Data Platform team is part of the Data Product Management organization at Moody’s Analytics. The team is highly analytical and delivery-focused, partnering closely with engineering, governance, and product development to deliver trusted, well-governed data assets. Their work enables analytics- and AI-driven products that create meaningful value for customers and the business.

For US-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 not but limited to 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.

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 apply.placed-app.com . 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.

Click here to view our full EEO policy statement . Click here for more information on your EEO rights under the law . Click here to view our Pay Transparency Nondiscrimination statement .

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.