Data Product Manager
Moody's Investors Service, New York, NY, United States
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.
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 Competencies
Strong grasp of agile methodologies and delivery practices
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 AI 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. 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
Education
Bachelor’s degree required; advanced degree such as an MBA or Master’s preferred
Responsibilities
Owns 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 high‑quality, 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 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. We partner closely with data engineering, governance, and product development teams to bring trusted, well‑governed data to market, enabling 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 but not 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 accommodations@moodys.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.
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.
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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.
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 Competencies
Strong grasp of agile methodologies and delivery practices
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 AI 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. 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
Education
Bachelor’s degree required; advanced degree such as an MBA or Master’s preferred
Responsibilities
Owns 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 high‑quality, 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 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. We partner closely with data engineering, governance, and product development teams to bring trusted, well‑governed data to market, enabling 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 but not 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 accommodations@moodys.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.
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.
#J-18808-Ljbffr