Nowadays there exist numerous possibilities of enhancement of energy efficiency, reliability and sustainability of energy consumption by using Big Data Analytics, IoT, Artificial Intelligence and Asset Management due to constantly rising digitization of urban infrastructures. In this article the usage of Big Data Analytics to develop Energy Management systems in collaboration with Asset Management and Engineering Management in Smart Cities including the analysis of Sunderland, UK city is proposed. A methodology of qualitative research including analysis of secondary documentary sources and case studies was conducted. The literature review of academic literature, international standards, governmental and organizational resources was performed using thematic and comparative analysis techniques. Sunderland was compared to Manchester, Barcelona, Amsterdam and Singapore. The conclusion has been made that effective Energy Management in a Smart City includes interconnected processes of data management, digital infrastructure, Life-cycle Asset Management, analytics and decision making.