Many of us have heard the adage that data science can require spending upwards of 80% of your time and effort in acquiring, building and cleaning data sets. As organizations seek to expand data capacity and modernize data science practices within their diverse and growing teams, many data leaders and practitioners face numerous, complex issues: cold start problems, data literacy gaps, entropy, staffing challenges, technical/process debt, and so on. In this robust workshop, we will discuss a variety of practical approaches and modern perspectives to build, scale and enhance data science capacity, operations and solution delivery within your learning organizations.