> Everyone else is a consultant, and they don’t have any incentive to care about the long-term impact of architecture choices: their management only evaluates d

> Everyone else is a consultant, and they don’t have any incentive to care about the long-term impact of architecture choices: their management only evaluates delivery (graphs, model metrics, etc.). How do I go about raising awareness? It sounds like management treats data science as a service function as opposed to a strategic function. Do you get the sense whether they do have any incentive to grow the data science team properly as opposed to leveraging consulting resources? My gut is that there are trending to building out a data science team given you're their first data science hire but it also means that your results will largely dictate what the team will evolve to in the future. To raise awareness, get a good understanding of the management team and their motivations. Frame the issue to something that they are most concerned with (likely business-related) and highlight the impact of not addressing the issue of poor architecture. Present your findings, highlight the impact and go a step further to propose 3 options. Highlight why the option you're recommending is the best.