Intuitive explanation for inconsistency between regression and correlation coefficient sign

Question

An independent variable in a linear regression I am working on has positive coefficient but this variable has a negative correlation with the dependent variable. I know that this is mathematically possible given each variables' coefficient in a multiple regression is a results of complex interaction between the relationship of the variable of interest with the other independent variables as well as the dependent variable. But is there any intuitive way I can explain this phenomenon to my business stakeholders without going into the math, maybe using a real life example? Thanks