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

• 6–10+ years of experience in data engineering, including significant leadership experience building and scaling high-performing teams.
• Passion for building trustworthy, secure, AI-enabled, and operationally excellent data systems.
• Skilled at partnering across technical and non-technical teams to drive meaningful product and business outcomes.
• Comfortable leading through ambiguity and setting technical strategy in rapidly evolving environments.
• Strong technical expertise in modern data engineering stacks, including Databricks, Python, Spark, and Kubernetes.

Education

Bachelor’s degree in Computer Science, Engineering, or a related field.

Responsibilities

The Corporate & Governments business unit at Moody’s leverages data-driven insights and advanced technologies to help businesses manage risk across KYC, Supply Chain, Trade Credit, and Sales & Marketing domains. We are seeking a Data Engineering Manager to lead our Data & Analytics team in building scalable, AI-enabled data platforms that power intelligent risk solutions.

This role is ideal for a technical engineering leader who thrives in hands-on development, has a strong grasp of modern data infrastructure, and is passionate about integrating AI into data engineering and platform workflows.

• Build, manage, and grow a diverse, high-performing Data Engineering team.
• Guide data architecture and infrastructure decisions to ensure scalability, reliability, and trustworthiness.
• Develop robust, secure, and fault-tolerant systems for data ingestion, transformation, and delivery using DevOps practices, including CI/CD and infrastructure-as-code.
• Partner closely with teams across Compliance, Product, Engineering, AI/ML, Data Science, and Analytics to understand data needs and deliver impactful solutions.
• Champion AI adoption, data quality, governance, and privacy best practices that uphold Moody’s highest standards.

About the team

Our Compliance & Third-Party Risk team is responsible for delivering data-driven solutions that help organizations manage risk across Know Your Customer (KYC), supply chain, and trade credit domains. Our Data Science team plays a central role in this mission by developing scalable machine learning systems, advanced applied AI capabilities, and building platforms that power Moody’s risk intelligence products. By joining our team, you will be part of exciting work in applied artificial intelligence and machine learning, cross-functional product development, and global risk analytics

For US-based roles only: the anticipated hiring base salary range for this position is $168,200.00 - $243,650.00, 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 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.

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. Click here to view our Notice to New York City Applicants.
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.