Abstract: With the frequent introduction of favorable policies to promote the digital transformation of water companies and information technology improvement by leaps and bounds, water companies are faced with a large number of data governance requirements. How to conduct effective data governance becomes the focal point of their digital transformation. However, the water industry has relatively traditional and dispersed features, and data governance knowledge is relatively abstract. Therefore, there are certain challenges in the practical implementation of data governance in water companies. Based on the design perspective of the water companies' governance frameworks, the paper discussed nine aspects, including core business process combing and modeling, business models, data models, data asset catalogs, reporting systems, data standard systems, IT governance guarantee systems, data security systems, and data application systems. A set of feasible and executable frameworks were formed. Through the design of a data governance framework, the implementation efficiency and success rate of data governance projects of water companies can be improved, and powerful support can be provided for the high-quality development of water companies.