By clearly defining the scope and priorities of the Data Governance Operating Model, organizations can streamline efforts, allocate resources effectively, and establish a robust foundation for managing data assets in a federated and collaborative environment. Setting Scope and Priorities involves defining the boundaries and focus areas of federated data governance initiatives. Drawing inspiration from industry best practices on Data Governance Operating Models, this process entails establishing a comprehensive framework that addresses the complexities of managing data assets across multiple nations, data spaces, and domains of operations and functional areas. A critical aspect is delineating the scope of federated data governance to encompass data assets that transcend organizational boundaries. This encompasses identifying critical data assets that are shared or used across different nations, functional areas, or operational domains, ensuring that governance mechanisms are in place to manage them effectively. Furthermore, implementing an Alliance wide Data Management Directive is crucial for prioritizing initiatives within the defined scope. By starting with a narrow focus on data catalogues, master and reference data, organizations can identify critical data governance challenges such as data consistency and compliance. This targeted approach allows for focused efforts to improve data management practices. This includes making decisions on identification schemes, defining data hierarchies, and establishing standard definitions to ensure consistency and interoperability across the Alliance. In the context of the Alliance-wide federated Data Governance, the scope extends to encompassing all aspects related to harmonization of legacy data standards, new data standardization, and data quality metrics that are shared across multiple nations or functional areas.