Let's begin! Senior Director Manager - Data Management

Moody's Corporation•Charlotte, NC

About The Position

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. Our White Glove Data Remediation team is accountable for the enterprise-scale data remediation strategy and execution for Moody’s most critical clients and datasets. We partner directly with senior client stakeholders and internal executives to resolve high-visibility data issues, ensuring the integrity and defensibility of our most critical information. By joining our team, you will be part of exciting work in building a scalable, world-class remediation service, solving complex data challenges, and protecting Moody's reputation for data quality.

Requirements

12+ years of experience in data management, data operations, or remediation is required, with proven senior leadership experience owning complex, cross-functional data programs with executive visibility.
Demonstrated success managing large, distributed teams, including contract and vendor resources, is essential for building and overseeing a scalable execution model.
Strong hands-on expertise in data manipulation and analysis using tools like Excel and SQL is required to shape remediation logic and validate outcomes.
Experience guiding teams using Power BI and Databricks is also necessary.
Exceptional executive communication and stakeholder management skills are critical for serving as the executive sponsor and building trusted relationships with senior client stakeholders.
A highly structured and disciplined mindset is required to lead complex, multi-workstream remediation programs and bring clarity to high-pressure situations.
Bachelor’s degree required in Data Science, Business, Economics, Engineering, or related field.

Nice To Haves

Familiarity with Python-based analytics and automation is preferred.
Experience operating in regulated or high-risk data environments is desired.
A background in building scalable operating models or centers of excellence is a plus.
Ability to travel on an ad-hoc/as-needed basis (~10%).
Master’s degree is preferred.

Responsibilities

Lead the enterprise-scale data remediation strategy and execution for Moody’s most critical clients and datasets.
Own the enterprise remediation strategy for high-priority client and regulatory data issues, defining scalable frameworks that balance speed, accuracy, and auditability.
Serve as the senior executive sponsor for Moody’s most critical remediation engagements, leading communications and building trusted relationships with senior client stakeholders.
Design and oversee large-scale remediation execution models, including internal teams and contract/vendor resources, establishing clear operating rhythms and quality controls.
Lead complex, multi-workstream remediation programs using highly structured project management disciplines, setting clear milestones, dependencies, and risk management plans.
Apply strong data manipulation skills to shape remediation logic and validation rules, guiding teams in the effective use of tools like Excel, SQL, Power BI, and Databricks.
Establish clear documentation, audit trails, and executive-ready reporting on remediation status, risks, and outcomes.
Identify systemic data issues and partner with upstream teams to drive root-cause fixes, continuously improving remediation efficiency and quality.