The studies on organizational change had been one of the prominent studies in history. For an organization to stay relevant, they had to "change" to fit with the demands and supply in the market. However, despite knowing that change is compulsory for an organization to evolve, the successful rate of organizational change does not improve significantly. Organizations do not really understand what major factors contribute to their change failure and repetitive mistakes were done continuously. Finding a change agent can be a major help to focus on executing change. However, the classical method of selecting change agent is based on hierarchical level, seniority, and random selection. Therefore, this paper suggests an empirical method to select change agent through the method of Social Network Analysis (SNA). This paper proposes the concept of centrality as an important value to determine the right change agent to drive a successful change.