Associate Director, Private Credit
Listed on 2026-01-06
-
IT/Tech
Data Analyst -
Business
Data Analyst
About the Role:
Grade Level (for internal use):
12
The Team:
The Enterprise Data Organization is dedicated to leveraging S&P Global's vast data coverage to deliver innovative solutions across the Enterprise. Data Partnership sits at the intersection of business stakeholders and the Enterprise Data Organization, bridging the gap between client needs and data execution. We focus on delivering high-quality, purpose driven data to clients via data standardization and harmonization.
As a senior member of the team, you will be collaborating and focusing on bringing together various stakeholders to drive Data Strategy Initiatives for Credit Markets. You will work within the context of a cross-functional team aligned with Business stakeholder, Data Stewards, Operations Managers, Product and Technology.
Responsibilities and Impact:
Lead expert within the Enterprise Data Organization for Private Credit and broadly syndicated loans
Manage continued execution of credit data harmonization processes. Identify, analyze, and resolve data inconsistencies and errors. Monitor and improve data quality metrics and implement continuous improvement initiatives.
Work closely with dependent divisional products and teams and other stakeholders to understand data requirements, define data structures, and ensure alignment across different systems.
Responsible for maintaining the system and dependent collateral, including defining data standards, creating controlled vocabularies, and establishing data governance policies.
Ensure a consistent data governance framework by supporting the development and enforcement of data governance policies and procedures to ensure data quality, security, and compliance with regulations.
Compensation/Benefits Information: (This section is only applicable to US candidates)
S&P Global states that the anticipated base salary range for this position is $120 to $130. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications.
In addition to base compensation, this role is eligible for an annual incentive plan.
This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please () .
What We’re Looking For:
Basic Required Qualifications:
5+ years of experience in data management, data harmonization, or a related field in financial markets
Strong knowledge of the credit markets, particularly the structure of credits. You must be able to bridge the gap between credit markets and data management.
Strong organizational management, business case development, and able to work across business teams to meet deadlines
Strong written and verbal communications with an aptitude to present thoughts and ideas to leadership
Additional Preferred Qualifications:
Experience with data management tools and technologies (e.g., SQL, ETL, data visualization).
Experience supporting customers and being involved in commercial conversations
High level of expertise in MS Excel
Right to Work Requirements:
This role is limited to persons with indefinite right to work in the United States.
What’s In It For You?
Our Purpose:
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
Our People:
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and…
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