Pay equity is top of mind for many executives. Interest in this topic has reached new levels, as exemplified in efforts by large organizations to publicly discuss and disclose their achievement on pay equity (e.g., difference in pay between women and men in term of cents on the dollar). Investors are pressing for this information and leading companies are looking to get out ahead of such demands.
In this virtual course, experts will discuss key pay equity laws and regulations, assessing pay equity using a regression-based approach, driving and communicating pay equity, what companies are doing to address pay equity challenges and preventing pay gaps.
You’ll learn:
- Conduct a pay equity assessment on a regular basis
- Assign a team responsible for conducting or overseeing the assessment
- Use a robust statistical approach such as multiple regression for the assessment
- Consider different remediation approaches to ensure you achieve your objectives
- Create policies to prevent pay equity problems from recurring
This course is applicable in U.S. and global markets.
Originally recorded on March 22, 2018.
Gail Greenfield is an eminent pay equity expert with Trusaic who serves as Executive Vice President of Pay Equity and Total Rewards Strategy and Solutions.
With over 20 years of experience, she specializes in developing data-driven strategies to promote workplace diversity, equity, and inclusion. Gail's career includes roles at Oracle and Warner Brothers Discovery, and she has a rich history at Mercer, where she testified before Congress on diversity and inclusion.
Her insights on pay equity have been featured in major media outlets, and she is a respected speaker at industry events. Gail holds a PhD in economics from Claremont Graduate University and a bachelor's degree in business economics.
Alex Greco is a senior consultant and economist with more than 17 years of cross-industry experience advising and collaborating with clients to develop workforce strategies. Recognized expert and leader in the areas of labor economics, econometrics, and statistics applied to business, operational, and compliance matters.
Uses data to understand the complex relationships underlying clients' people decisions; identifies patterns, measures, and predicts the effects of policies and proposed actions. Has extensive experience in directing analyses of pay equity, hiring, promotions, retention, and performance. Team builder and mentor.
Prior to Mercer, had more than 11 years of client-facing experience providing attorneys with economic and statistical analyses in numerous legal class action matters involving allegations of gender, race, national origin, and age discrimination in pay, promotions, and violations of federal and state labor statutes.
