To create business value from data, firms need a data literate workforce capable of reading, working, analyzing, and arguing with data. Prior studies on data literacy have mostly focused on educational settings and identified data-related skills. However, the suggested generic skill catalogs do not account for the highly situated nature of data practices. In this paper, we delve into five data literacy programs at multinational companies and examine their unique scope and characteristics. We leverage curriculum theory to analyze the different curriculum components and how they foster workplace data practices. As a contribution to data literacy research, we propose a theory-inspired and situated curriculum for data literacy in enterprises built upon five learning blocks, namely generic skills, disciplinary content, disciplinary skills, workplace awareness, and workplace experience. We also disclose each block's target audience, scope, and delivery mode and thereby inform practitioners on how to build their own curricula.