Data Intelligence Quality Manager

The South State story is one of steady growth, deep community roots, and an unwavering commitment to helping our customers move forward. Since our beginnings in the 1930s to becoming a trusted financial partner across the South and beyond - we are known for combining personal relationships with forward-thinking solutions. We are committed to helping our team members find their success while maintaining the integrity of our values: building trust, fostering lasting relationships and pursuing excellence.

At South State, individual contributions are recognized, potential is cultivated and team members are inspired to achieve their greater purpose. Your future begins here!

The Data Intelligence Quality Manager establishes and operationalizes a formal, enterprise-wide data quality program for South State Bank as part of the Data Intelligence Program (DIP), ensuring the Bank’s data is trusted, fit for use, and fit for purpose. This role stands up the data quality framework, standards, business rules, and monitoring needed to identify, measure, and remediate data quality issues across critical data elements, then manages and continuously improves those processes in partnership with Data Owners, Data Stewards, and Data Communities.

The position exists to strengthen confidence in the Bank’s data as a strategic asset and to support sound decision-making, accurate reporting, and regulatory compliance.

• Establish the Bank’s formal, enterprise data quality program—designing, documenting, and implementing the data quality framework, standards, policies, procedures, and operating model that address the data quality dimensions (completeness, validity, accuracy, consistency, uniqueness, and timeliness) and embed data quality into the data or AI use case and onboarding lifecycle where applicable.
• Partner with Data Owners, Data Stewards, and Data Communities to identify and document critical data elements (CDEs) and their associated business rules, data quality thresholds, and process flows; collect necessary metadata to support curation of CDEs within the data catalog.
• Design, build, and operationalize automated and manual data quality controls, profiling, and monitoring against defined business rules; oversee routine identification of data errors and drive their remediation at the source to sustain ongoing quality.
• Develop and maintain data quality metrics, scorecards, and/or Power BI reporting to measure data quality health and program effectiveness.
• Manage the data issue lifecycle— lead root‑cause analysis and implement remediation and preventative process improvements to reduce repeat issues.
• Lead and support active data quality efforts and projects.
• Lead, coach, and enable Data Owners, Data Stewards, and Data Communities on their data quality responsibilities; deliver data quality awareness and training as applicable; and promote a data-driven, quality‑focused culture across the Bank.
• Partner with IT/Data, Information Security, Risk Management, Compliance, Privacy, and Internal Audit as needed to align data quality processes with applicable standards and regulatory requirements and perform other duties as assigned. It is the responsibility of this role to take ownership of all tasks and challenges that they encounter in the operation of their assigned position.

Bachelor’s degree in Data Management, Information Systems, Business Administration, Analytics, or a related field.

5+ years in data management, data governance, data quality, or a related data/analytics or process improvement role, preferably in banking or financial services. Demonstrated experience establishing and executing data quality, data governance, or data management…