Smart cities governance, which utilises data-driven strategies, is crucial for enhancing decision-making and public services in cities; yet, its challenges remain unclear, necessitating a critical examination. Thus, this chapter examines the structural dimensions of smart city governance. It critiques the lack of universally accepted governance frameworks and examines the tension between technology-driven and people-centric approaches. Moreover, structural elements such as policy frameworks, regulatory mechanisms, decision-making processes, and stakeholder collaboration were discussed, with particular attention paid to the growing use of real-time data and its implications for privacy and democratic participation. The chapter also examined governance models, including centralised, decentralised, and hybrid, which were compared alongside their respective benefits and limitations. Furthermore, the chapter’s outcome warns against corporate dominance in governance and the superficiality of public participation. It also addressed broader issues such as digital divides, financial constraints, and fragmented regulatory practices. Through case studies of Singapore, Barcelona, and Copenhagen, the chapter illustrated the potential and limitations of smart city governance. Ultimately, this chapter calls for adaptive, participatory, and ethically grounded governance models that prioritise inclusivity, accountability, and sustainability over techno-utopian visions of urban progress.