Genetha Gray

Lead People Research Scientist

Dr. Genetha Gray manages the Data Science group of the Employee Success Strategy & Analytics (ESSA) team at Salesforce.  ESSA focuses on strategic planning to enhance the employee experience using data.  Genetha and her team study how geographically dispersed teams interact, employee benefits and well-being, skills-based learning & development, and pay equity.  Previously, she was an analytics research scientist at Intel Corporation where she worked on both engineering applications related to fully autonomous vehicles and people analytics applications including modeling the changing representation of women in the tech workforce.  Prior to joining Intel, Genetha spent 12 years as a member of the technical staff at Sandia National Labs.  There, she worked on problems in the areas of the electrical and mechanical engineering of systems, the storage of nuclear waste, groundwater remediation, cyber security, and energy including renewables integration and grid operations.  She has a Ph.D. in Computational & Applied Mathematics from Rice University and is the co-author of numerous research publications including a text book on environmental modeling.  Genetha volunteers with groups working to improve mathematical modeling education and mentors women studying mathematics.

Genetha Gray’s Session(s):

1:15 p.m. PST — Thursday, February 17, 2022

Panel: The Future of Work Is Data-Driven

Join Ben Teusch, Tomeka Hill-Thomas, Kelsey Kline, Genetha Gray, and Susan Biancani on February 17th as they discuss the recent evolution and future role of people analytics in the workforce. How has the use of data changed since the pandemic? What struggles have been amplified since shifting to fully remote/hybrid work? Experts will share case study examples, best tools & practices, as well as predictions for the role of data post-pandemic. 

In this session, speakers will cover pressing topics such as:

  • How have you been using data to better understand the employee experience during the pandemic? What is the data telling you about the “Great Resignation” at your company?
  • How do you get buy-in from stakeholders to use a variety of data sources and research approaches, including more advanced research?
  • How do we make sure we’re taking an ethical approach to our research as we use varied research methods, especially regarding employee privacy?
  • Making the future of work data-driven depends on business leaders understanding and acting on our insights. How can we work together to make sure analysts understand the business and the business understands our findings?

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