The Enterprise Data Management function is responsible for effective and consistent Data Management of the bank’s data which is deemed critical: Used in external reporting, used to continuously provide information to bank management, and data whose deficiency can cause financial loss/severe impact to the customer. Mizuho’s data operating model comprises enterprise-wide groups and federated data domains to drive accountability and management of data. The federated operating model ensures minimal overlaps and reduced handoffs of data attributes across the data lifecycle. Federated data domains are defined according to the various types of data originated and consumed by the enterprise (transactional, derived, and master/reference), and in such manner that there are no unclaimed or overlapping data elements between two domains. Their definition and structure aim to support Mizuho’s business activities and operations. Data is clustered into federated domains with overall accountability and ownership for data quality, from origination to consumption. Data Domains core responsibilities include definition and ownership of business use cases, serving as owners for and managing data within the domain (selected with a view to exhaustively cover data within the enterprise with no overlaps), ensuring data satisfies the needs of data consumers, managing data quality assessments and remediation with source systems, expressing the data model and data definitions for the data elements within the domain, and participating in the enterprise data governance bodies. Data Domains are supported by Data Stewards and Data Quality Analysts who sit in the Enterprise Data Management Office (EDMO) organization and act as the bridge between EDMO and the Data Domains. The Finance Data Domain will manage data initiatives related to Mizuho’s Finance businesses.