Data Governance & Quality Specialist – Hybrid Work

Federal Reserve Bank of Kansas City; Richmond (VA); On-site; USD 101,000 - 160,000; Full time

Job summary

Federal Reserve Bank of Kansas City seeks a Data Management Specialist to advance supervisory data quality and governance for the S&R programs. You will serve as the business SME for supervisory data, ensuring reliability and consistency to support analytics, decision making, and future AI use cases.

The role partners with CDP, CEP, and System IT to implement scalable data management solutions, establish data quality rules, and mature data governance across the organization.

Qualifications

• 6+ years of data management experience, including data quality assessment or remediation.
• Bachelor's degree in information technology or equivalent experience.
• Ability to translate business needs into technical requirements.
• Understanding of data lifecycles, discoverability, accessibility, and quality.
• Strong communication of technical concepts to non-technical stakeholders.

Responsibilities

• Serve as SME for supervisory data reliability and consistency to support BI.
• Define data quality rules, metrics, and monitoring processes.
• Develop expertise in S&R examination data to inform data standards.
• Partner with CDP, CEP, and System IT to build scalable data management solutions.
• Lead data governance practices and assist with data policy implementation.

Skills

Data governance

Data quality

Requirements gathering

Communication

Problem solving

Education

Bachelor's degree in IT

Tools

ABAC

RBAC

Metadata cataloging

Job description

Federal Reserve Bank of Kansas City seeks a Data Management Specialist to advance supervisory data quality and governance for the S&R programs. You will serve as the business SME for supervisory data, ensuring reliability and consistency to support analytics, decision making, and future AI use cases.

The role partners with CDP, CEP, and System IT to implement scalable data management solutions, establish data quality rules, and mature data governance across the organization.