<p>Organizations increasingly recognize data as an asset, yet many struggle to effectively monetize it beyond traditional data marketplaces. While data monetization has historically been limited to selling raw or aggregated data, there is a growing need for an integrative approach that enables businesses to commercialize data-driven services, insights, and applications. This study develops a conceptual architecture for Data Monetization as a Service (DMaaS) using the Design Science Research (DSR) paradigm grounded in Service-Dominant Logic (SDL). DMaaS is introduced as an integrative and collaborative service model that enables organizations to commercialize data-driven assets ranging from raw and prepared data to insights, analytics, applications,and consulting services within a unified platform ecosystem. The resulting architecture defines the actors, capabilities, design requirements and process flow necessary to operationalize data monetization as a multi-actor process of value cocreation. Theoretically, this research advances the literature on data platforms, data ecosystems, and data spaces by framing data monetization as a service-system phenomenon, extending SDL into the domain of platform-based data ecosystems. Practically, it provides a foundational blueprint for implementing DMaaS platforms.</p>