To conceive, design, operate, and sustain capabilities to outpace adversaries, Digital Engineering (DE) is used to connect systems data and models as a continuum across disciplines. In this linked ecosystem, governance increases efficiency, confidence, insight, and understanding. This paper describes a model governance approach which can streamline and secure the DE ecosystem, aiding delivery of modernization and readiness. Model governance challenges are described, and related literature is summarized. An example elastic model governance guide is then provided. Key features include: (1) model-based guidance with in-model work instructions; (2) integration of the overall model governance system, DE infrastructure, individual models, and composite models; (3) scoping of model purpose and resolution of technical debt; (4) automated validation for insight on compliance; (5) customization for flexibility and tailoring. Integrating model governance practices with additional mechanisms for elasticity, flexibility, and automated validation provides robust control over the DE ecosystem to streamline ground vehicle development.