Data Management Specialist: Supervisory Data & AI Readiness

Federal Reserve Bank of Kansas City; St. Louis (MO); On-site; USD 101,000 - 160,000; Full time

Job summary

Federal Reserve Bank of Kansas City is seeking a Data Management Specialist to ensure supervisory data is reliable and consistent to support business analytics and decisions. You will develop data quality rules, monitor metrics, and partner with CDP, CEP, and System IT to implement scalable data management solutions.

The role evolves to mature data governance across S&R with potential AI use cases. The position emphasizes collaboration with IT and business teams, adherence to data policies, and

Qualifications

• At least 6 years of relevant data management experience.
• Bachelor's degree with specialization in information technology or equivalent experience.
• Experience identifying business challenges and defining metrics-based action plans.
• Thorough understanding of data supply chains and data lifecycle management.

Responsibilities

• Serve as a key SME for supervisory data to support BI, decision-making and findings review.
• Define and implement data quality rules, metrics and monitoring processes.
• Develop deep SME in S&R examination data and processes for data quality standards.
• Partner with S&R stakeholders, CDP, CEP and System IT to establish scalable data management solutions.
• Serve as SME for governance, standards, practices and tooling with focus on data quality and remediation.
• As the role matures, support broader data management initiatives and access management discussions.

Skills

Data management

Data quality assessment

Communication to non- technical

Requirements translation

Data supply chains

Agile/cloud awareness

Education

Bachelor's degree in information technology

Tools

ABAC

RBAC

Job description

Federal Reserve Bank of Kansas City is seeking a Data Management Specialist to ensure supervisory data is reliable and consistent to support business analytics and decisions. You will develop data quality rules, monitor metrics, and partner with CDP, CEP, and System IT to implement scalable data management solutions.

The role evolves to mature data governance across S&R with potential AI use cases. The position emphasizes collaboration with IT and business teams, adherence to data policies, and