Director of Data Governance - Data Modeling
Moody's CorporationAbout the role
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
- Experience working with Agile product development processes
- Prior experience as a technical business analyst or technical product manager
- Experience analyzing and designing relational and non-relational datasets, including complex entity relationships
- Proficiency in SQL for data analysis or similar AI-enabled data platforms
- Experience partnering with Legal, Risk, and Data Governance to ensure data privacy and regulatory compliance
- Demonstrated ability to navigate a matrixed environment and drive stakeholder alignment
- Strong analytical and problem-solving skills with persistence in delivering solutions
- Basic understanding of artificial intelligence concepts, with interest in applying AI tools and responsible AI practices
Education
- Bachelor’s or Master’s degree in finance, economics, computer science, data science, or a related field
Responsibilities
- Own and maintain the enterprise Logical Data Model as the authoritative source for entities and relationships
- Translate business use cases into scalable, standardized data modeling requirements
- Ensure conceptual consistency across data stores, APIs, and consumption layers
- Define and manage enterprise relationship models, including structure and documentation standards
- Establish and enforce modeling standards to ensure scalability and alignment across domains
- Partner with Data Quality teams to align modeling with quality rules and governance standards
- Drive AI-ready data modeling practices, including clear semantics and stable relationships
- Collaborate with cross-functional stakeholders to resolve modeling conflicts and improve data integrity
About the Team
For US-based roles only: the anticipated hiring base salary range for this position is $151,000.00 - $218,950.00, 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 w
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