Data Steward: Supervisory Data & AI Readiness

Federal Reserve Bank of Kansas City; Chicago (IL); In loco; USD 101.000 - 160.000; Tempo pieno

Descrizione del lavoro

Federal Reserve Bank of Kansas City is seeking a Data Management Specialist to strengthen supervisory data quality and enable reliable BI across S&R. You will serve as a business SME for supervisory data, ensuring it is accurate, complete, and ready for analytics and future AI use cases.

In collaboration with CDP, CEP and System IT, you will define data quality rules, monitor data, and support governance, cataloging, and access management initiatives as the program matures.

Competenze

• 6+ years of data management experience, including data quality assessment, monitoring, or remediation.
• Bachelor's degree in information technology or related field, or equivalent combination of education/experience.
• Experience identifying business challenges, defining metrics, and delivering value.
• Understanding of data supply chains and data lifecycle management (discoverability, accessibility, quality).
• Ability to translate business needs into technical requirements and tasks.

Mansioni

• Serve as SME for supervisory data to support BI and decision-making.
• Define and implement data quality rules, metrics, and monitoring processes for supervisory data.
• Develop subject matter expertise in S&R examination data to inform quality standards.
• Partner with S&R stakeholders, CDP, CEP, and System IT to establish scalable data management solutions.
• Serve as SME for data governance, standards, practices, and tooling, focusing on data quality assessment and remediation.
• As the role matures, support broader data management initiatives including access management and data policy implementation.

Conoscenze

Data management

Data quality assessment

Communication

Requirements translation

Stakeholder collaboration

Formazione

Bachelor's degree in IT

Descrizione del lavoro

Federal Reserve Bank of Kansas City is seeking a Data Management Specialist to strengthen supervisory data quality and enable reliable BI across S&R. You will serve as a business SME for supervisory data, ensuring it is accurate, complete, and ready for analytics and future AI use cases.

In collaboration with CDP, CEP and System IT, you will define data quality rules, monitor data, and support governance, cataloging, and access management initiatives as the program matures.