This week I was invited to give a guest lecture on data science for a group of change managers. We discussed the social effects of predictive maintenance on the workforce and how to deal with the implementation of this concept from a change management perspective. At the end of the lecture I came to realize that it's the data scientist who should know about change management rather than the other way around. This might make the implementation of the improvements found by data scientists much more efficient since this tackles behavioral change: One of the biggest hurdles in implementation of our ideas and realizing our goals. Change management may be seen as a domain opposed to data science.