Data Governance Analyst II (Hybrid)

Position Summary

This position is available as a hybrid position in our Sioux Falls, SD office.

Key Responsibilities

• Supports and contributes to the implementation and ongoing enhancement of data governance policies, standards, and procedures.
• Executes data quality monitoring, issue management, and remediation activities with increasing ownership and accountability.
• Maintains and enhances data catalogs and metadata repositories (e.g., Atlan), ensuring accuracy, completeness, and usability.
• Leverages and helps implement automation and AI-assisted solutions to improve data quality monitoring, metadata management, and governance workflows.
• PARTNERS DIRECTLY WITH BUSINESS DATA OWNERS AND STEWARDS TO DEFINE AND DOCUMENT DATA ELEMENTS, LINEAGE, AND USAGE.
• Facilitates discussions and working sessions to promote alignment on data definitions and governance practices.
• SUPPORTS AND ADVOCATES FOR SELF-SERVICE ANALYTICS AND AI-ENABLED DATA DISCOVERY, ENSUREING PROPER GOVERNANCE AND CONTROL.
• RISK & COMPLIANCE SUPPORT MONITORS AND ANALYZES DATA GOVERNANCE METRICS, INCLUDING DATA QUALITY TRENDS, CONTROL EFFECTIVENESS, AND AUDIT FINDINGS.
• PREPARES AND CONTRIBUTES TO DOCUMENTATION FOR INTERNAL/EXTERNAL AUDITS, REGULATORY EXAMS, AND RISK ASSESSMENTS.
• EVALUATES AND SUPPORTS GOVERNANCE CONTROLS FOR AUTOMATED PROCESSES AND AI-DRIVEN USE CASES, ENSURING COMPLIANCE WITH REGULATORY AND INTERNAL STANDARDS.
• CONTRIBUTES TO ENTERPRISE INITIATIVES SUCH AS DATA PLATFORM MODERNIZATION, REPORTING ENHANCEMENTS, AND REGULATORY CHANGE PROGRAMS.
• ACTIVELY PARTICIPATES IN CROSS-FUNCTIONAL PROJECTS TO EMBED GOVERNANCE INTO NEW SYSTEMS, AUTOMATED WORKFLOWS, AND AI-DRIVEN SOLUTIONS.
• IDENTIFIES OPPORTUNITIES TO IMPROVE PROCESSES THROUGH AUTOMATION, STANDARDIZATION, AND SCALABLE DATA PRACTICES.

Qualification Requirements

• Bachelor’s degree in Information Systems, Business, Data Analytics, Risk Management, or a related field.
• Minimum 2 years of experience in data governance, data management, analytics, or a related field.
• Working knowledge of data governance principles, data quality management, metadata, and regulatory frameworks (e.g., DCAM, FFIEC, NIST).
• Experience with or exposure to data tools such as data catalogs (e.g., Atlan), data warehouses (e.g., Snowflake), transformation tools (e.g., dbt), or reporting platforms.
• Familiarity with or interest in data automation, AI/ML concepts, and AI-assisted analytics tools, with the ability to apply them in a governed environment.
• Strong analytical and problem-solving skills, with the ability to work independently and manage multiple priorities.
• Effective communication and collaboration skills, with experience working across technical and business teams in a regulated environment.

Additional Information

This job will be open and accepting applications for a minimum of five days from the date it was posted.