Selection of an engineering manager can be a complex undertaking with financial and organizational risk associated with a poor selection. The subjective nature of selecting engineering managers is characterized by stress and uncertainty. To mitigate these effects, a hierarchical decision model (HDM) was utilized for this study to rank engineering manager candidates. The HDM utilized pairwise comparison surveys, expert data from three different industry groups, desirability curves, candidate profiles and constant sum method for data processing. Data was processed for each industry expert group separately and as a combined expert group. The ranking results reflected the influence of industry expert groups and identified inconsistencies in the data created by the expert data.