The digital economy is transforming financial service industry, raising critical question for regulatory and supervisory authorities about the appropriate process, tools, and infrastructure to manage the explosion of data . Unfortunately, data governance is a new field in which guidance is limited and practical implementations among organizations are vary wildly due to various interpretation. While substantive practical progress has been made on how regulatory and supervisory agencies manage and govern their data, there is still a lack of academic literature that pivot towards the characteristics of resilient architecture of data management, particularly in financial regulatory & supervisory environment. Using the research method of benchmarking, this study analyses exemplary data management cases in four Asia Pacific's financial supervisory agencies (FSA), to articulate resilient concepts and strategies that foster effective architecture of data management. Proprietary eighteen items of comparison are used to benchmarked data management and governance implementation in each FSA. Results of analysis yield three common underlying characteristics that define effective data management architecture for financial regulatory agencies. These characteristics can provide significant direction and be used as foundations in designing resilient and practical integrated data management architecture. Furthermore, the eighteen items of comparison formulated for this study can be utilized by other organizations wishing to conduct benchmarking study to extract the characteristics of data management and governance operations.