Data Governance & Quality Specialist

Federal Reserve Bank of Kansas City; Minneapolis (MN); Híbrido; USD 101.000 - 160.000; Tempo integral

Resumo da vaga

The Federal Reserve Bank of Kansas City is seeking a Data Management Specialist to ensure supervisory data reliability and quality. You will support analytics, downstream decision-making, and future AI use cases, while maturing data governance across S&R.

Responsibilities include defining quality rules, partnering across CDP/CEP and IT teams, and contributing to data cataloging and policy implementation. Hybrid work options apply with onsite requirements in certain districts.

Qualificações

• At least 6 years of data management experience, including data quality assessment, monitoring, or remediation.
• Bachelor's degree in information technology or equivalent combination of related education and/or experience.
• Experience identifying business challenges and priorities, crafting a plan of action with defined metrics, and delivering value.
• Understanding data supply chains and data lifecycle management, including discoverability and accessibility.
• Ability to translate business needs into technical requirements and communicate with non-technical stakeholders.

Responsabilidades

• Serve as a key SME for supervisory data reliability to support BI and decision-making.
• Define data quality rules, metrics, and monitoring processes for supervisory data.
• Develop deep SME in S&R examination data to inform data quality standards.
• Partner with S&R stakeholders to establish scalable data management solutions and models.
• Serve as a SME for data governance, standards, tooling, and issue resolution.
• Support broader data management initiatives and access management discussions.

Conhecimentos

Data management

Data quality

Communication

Data governance

Data lifecycle

Formação

IT Bachelor's degree

Descrição da vaga

The Federal Reserve Bank of Kansas City is seeking a Data Management Specialist to ensure supervisory data reliability and quality. You will support analytics, downstream decision-making, and future AI use cases, while maturing data governance across S&R.

Responsibilities include defining quality rules, partnering across CDP/CEP and IT teams, and contributing to data cataloging and policy implementation. Hybrid work options apply with onsite requirements in certain districts.