The Program Executive Office for Simulation, Training & Instrumentation (PEO STRI) Project Manager Integrated Training Environment (PM ITE) fields a wide variety of virtual, constructive, and gaming (VCG) simulations, that operate both in stand-alone and integrated modes. As with most simulations systems, these VCG simulations are largely data driven—both in data that is engineered into the capabilities when they are delivered (e.g., equipment characteristics), and data that is developed for use of these systems (e.g., terrain and scenarios). Although there is a great amount of overlap in the data these systems require and manage, each has its own data management capabilities (e.g., scenario generation). In addition to the stand-alone data management capabilities for these VCG simulations, there are separate capabilities for federations in which these VCG simulations are integrated. PM ITE conducted an analysis of a subset of the current data management capabilities, specifically those integrated via the LVC Integrating Architecture (LVC-IA), and then developed a proposed architecture and transition strategy for how data management could be conducted in a more efficient and effective manner, with improved data quality. This paper describes the “as-isâ€� analysis of the data management capabilities and identifies the common requirements and overlapping capabilities. It then presents the proposed “to-beâ€� architecture. This “to-beâ€� architecture aligns with the newly adopted ITE software product line methodology, in which shared assets are identified, managed, and incorporated into multiple products. In the case of data management, these shared assets are not only software, but encompass data exchange agreements, common requirements, common architecture design, and data interchange formats. Although the analysis described in this paper focused on a subset of the systems in the ITE, the analysis approach and many of the architectural recommendations are applicable to the full range of the ITE portfolio, and to other Army, Service, and even national capabilities for simulation data management.