Over the next several years, there will be a new kind of product manager in demand — the data product manager. Previously, it has been argued that good data scientists make good product managers, but this is incomplete. Data is at the core of product development; not only in the post-hoc analysis of usage metrics and A/B tests. The continual intake and exhaust of data is determining how products behave and what new classes of products are possible. Machine learning models automatically adapt products to users’ preferences, make recommendations about next actions, and suggest future features and products. Data product managers understand this and incorporate it into their products.
