Data Content Manager

The Team:

Data Quality Measurement teams execute analyses and implement controls to ensure information quality for the associated client group. A key goal of this job family is to ensure that the data sets used by the user group is of high quality and considered to be sufficient, timely and reliable considering the standards that are set by the business or regulating entity/industry group, if applicable. The team consists of highly trained data quality professionals, who understand the business and who strive to deliver outstanding client experience, while helping to mitigate regulatory and legal risk exposure to the organization.

The Impact:

The impact of a Data Content Manager is broad, influencing everything from decision-making to customer satisfaction, operational efficiency, compliance, and overall teams performance. By maintaining high data quality standards, organizations can derive more value from their data and gain a competitive advantage.

What you stand to Gain:

• Professional Growth and Development: Career Advancement , Skill Diversification.
• Direct Impact on Decision-Making: Engagement with Market Leaders, Cultural Exposure, Collaboration and Stakeholder Management.
• Cutting-Edge Technologies and Practices: Technology Adoption , Innovation Culture

Responsibilities:

• Engages with stakeholders to define requirements and usage needs for the measurement of data quality for a specific region or part of a business.
• Undertakes ownership for the on-going delivery of data quality measurement activities with a concentrated focus on a specific region or part of a business
• On identification of data quality issues, performs analysis and escalates for next level review to remediate the issue and achieve high quality data.
• Performs testing of defined use cases on new technology and deliver results on data tasks performed; identifies sources or errors.
• Performs basic root cause analysis on smaller self-contained data analysis tasks that may be related to assigned projects or other unfamiliar projects.
• Delivers testing of defined use cases as part of data audits on new data vendors.
• Delivers data quality processes to assure S&P Ratings compliance against regulatory requirements.
• Performs data queries to identify and drive correction of data inconsistencies.

What Were Looking For:

• A S&P employee at this level typically have 7-9 years of experience in a data role - experience in a data quality role would be an advantage
• Proficient technical skills (including Excel, SQL, data extraction tools, Python, Any Visualization tool)
• Good understanding of Financial and Market data.
• Understanding of Data cataloguing .
• Good understanding of AI technologies and their potential applications in data management
• Understanding of data requirements, intermediate data querying. Raise issues as appropriate and push back respectfully.
• Communicates assumptions and gets clarification on tasks up front to minimize the need for rework.
• Solicits feedback from others and is eager to find ways to improve.
• Understands how their work fits into the larger project and identifies problems with requirements.
• Ability to manage a team size of 8-10.