In this talk, I will outline the necessary ingredients needed for a data science team to deliver successful data products. Together, we will explore the following ideas: (1) a framework for bounding work, (2) clarity on high value use cases that fall within that framework, (3) technical and interpersonal skillsets for successful delivery, and (4) supporting environment (technical stack and infrastructure, interaction with software/data engineering teams, and capacity for post-development support).