Animal movement – from daily excursions that span a few meters to annual migrations that take place over thousands of kilometers – is both a cause and consequence of spatiotemporal variation in resource availability. Though a large body of research has highlighted the role of mobile consumers in facilitating ecosystem processes, few studies have linked empirical movement data to the functional roles of animals – defined as their influence on nutrient and energy fluxes. Further, we know little about how individual variation in movement behavior governs the spatial dynamics of consumer function. Using a suite of simple movement metrics calculated from 13 years of acoustic telemetry data, we identified recurrent patterns of intraspecific movement behavior for a highly mobile mesopredator, Common Snook (Centropomus undecimalis), in the Shark River, Everglades National Park. We paired these data with elemental flux-, home range-, and stable isotope mixing models to investigate the ecological consequences of individual movement strategies. Specifically, we estimated the magnitude (mg d-1), spatial distribution (mg m-2 d-1), and connectivity (g month-1) of the three key functions (i.e., consumption, excretion, and secondary production) for 174 individuals and their associated movement strategies. The functional roles of residents were spatially concentrated due to their high site fidelity and minimal displacement. In contrast, nomads exhibited the greatest functional connectivity, driven by low site fidelity and high displacement that integrated resources across a gradient from freshwater to marine prey. Notably, the functional roles of migrants exhibited intermediate effects on both the spatial distribution and connectivity of their functions, highlighting that migratory animals exert intermittent control on ecosystem-level processes across multiple spatial and temporal scales. As global change continues to alter animal movement patterns, untangling the threads that link animal behavior to ecosystem processes will be needed to predict and mitigate changes in ecosystem function.