The Data Architecture Management Process ensures the effective planning, execution, monitoring, and governance of data architectures throughout their lifecycle, maintaining alignment with enterprise strategies while adhering to governance standards and stakeholder expectations. It begins by establishing the organizational capability to oversee data architecture management, defining the processes, tools, and roles necessary for sustained oversight. This capability forms the foundation for developing comprehensive management plans that align with enterprise governance frameworks and address critical objectives, such as ensuring data scalability, security, and compliance. Guidance and direction are then provided to architectural activities, promoting adherence to foundational principles like treating data as a strategic asset and ensuring its interoperability and reliability. Continuous oversight is maintained by monitoring progress and assessing data architecture initiatives against key performance indicators, governance directives, and organizational goals. As issues or deviations are identified, corrective measures are implemented to address gaps or inefficiencies, with the architecture iteratively refined to remain responsive to evolving business needs. By integrating strategy alignment, governance adherence, and a focus on continuous improvement, the process ensures data architectures remain relevant and effective, supporting the organization’s ability to manage and leverage its data assets effectively throughout their lifecycle.