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As a hiring manager for IT, I met two women whose resume qualified; one of them was going to college and so needed a very flexible schedule which the position c

As a hiring manager for IT, I met two women whose resume qualified; one of them was going to college and so needed a very flexible schedule which the position couldn't do (I wanted to make it work but couldn't) and the other I hired. In both cases their pay would have been higher paid than their male counterparts simply because of the position I was hiring for at the time. However because of lingering social dynamics and the impoliteness to discuss salaries, I worry that they might not have realized this. It's easy to think you're being discriminated against when you don't have all the facts. But anyway, there's my data point. Women higher paid than men in my hiring experience, just by chance.

bluehat 14y ago
So in small companies this stuff is hard, but larger datasets are easier to make anonymous. For example, you could release data about how many women were paid more than their male peers across many departments, and how many were paid less, and not specify which departments are which. Luckily for you, if you are a hiring manager for just IT, the company is probably large enough to publish anonymous data. The goal here is to have an actionable list on which companies statistically are likely to give equal pay, and which are not.