Senior Data Management & Governance Specialist (Hybrid)

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

Job summary

The Federal Reserve Bank of Kansas City is seeking a Data Management Specialist within the S&R program to act as a business subject matter expert for supervisory data. The role is essential to ensure data reliability and consistency to support analytics, downstream decision-making, review of supervisory findings, and future AI use cases.

As the role matures, you will advance data governance, develop data quality standards, and collaborate with CDP, CEP, and System IT to implement scalable data

Qualifications

• 6+ years of relevant data management experience.
• Bachelor's degree in information technology or related field.
• Ability to identify business challenges and craft action plans with clear metrics.
• Understanding of data supply chains and lifecycle management.
• Ability to translate business needs into technical requirements.

Responsibilities

• Serve as SME for supervisory data to support BI and decision-making.
• Define data quality rules, metrics, and monitoring processes.
• Develop SME in examination data to inform data standards and AI use cases.
• Partner with S&R, CDP, CEP, and IT to establish scalable data management solutions.
• Serve as a governance consultant for data standards and tooling, focusing on quality and improvement.
• Support broader data management initiatives and access policy discussions.

Skills

Data management

Data governance

Data quality

Cloud services

Agile practices

Product management

Communication skills

Education

Bachelor's degree in information technology or related field

Tools

ABAC

RBAC

Data cataloging tools

Job description

The Federal Reserve Bank of Kansas City is seeking a Data Management Specialist within the S&R program to act as a business subject matter expert for supervisory data. The role is essential to ensure data reliability and consistency to support analytics, downstream decision-making, review of supervisory findings, and future AI use cases.

As the role matures, you will advance data governance, develop data quality standards, and collaborate with CDP, CEP, and System IT to implement scalable data