Emily Glassberg Sands

CTO

Palo Alto, California, United States20 yrs 2 mos experience
Highly StableAI Enabled

Key Highlights

  • Expert in leveraging data for decision-making
  • Proven leadership in Data & AI at Stripe
  • Strong background in economics and data science
Stackforce AI infers this person is a Data Science and AI leader in the Fintech industry.

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Skills

Core Skills

Data & Ai LeadershipMachine LearningData Science Leadership

Other Skills

Data ManagementArtificial IntelligenceData ScienceEconomic InsightsData EngineeringDecision ScienceData Analytics

About

An economist by training, I love using data to understand how individuals and firms make decisions, and to build products that solve critical inefficiencies in the market.

Experience

Stripe

Head of Data & AI

Nov 2021Present · 4 yrs 5 mos

  • Lead Stripe’s Data & AI organization, with end-to-end responsibility for the data and AI systems that power Stripe’s products, platform, and growth.
  • Team spans data platform and engineering, data science, ML & AI infrastructure and applied ML & AI, economic insights and research, user-facing data and accounting products, and an always-on experimental program that incubates net-new products for Stripe.
  • Previous roles:
  • Head of Information (Apr 2022 - Jul 2025)
  • Head of Data Science (Nov 2021 - Apr 2022)
Data ManagementArtificial IntelligenceMachine LearningData ScienceEconomic InsightsData & AI Leadership

World economic forum

Council Member

Jan 2018Jan 2021 · 3 yrs

  • Global Future Council on the New Agenda for Education and Skills (2020-2021)
  • Global Future Council on the New Education and Work Agenda (2019-2020)
  • Global Future Council on New Metrics (2018-2019)

Coursera

VP of Data Science

Mar 2014Oct 2021 · 7 yrs 7 mos

  • Led the end-to-end data org at Coursera, a diverse group of data scientists and data engineers united in building a better teaching and learning platform through data-driven decisions and data-powered products.
  • Team spanned three functions:
  • 1. Data engineering: building the foundations for efficient execution (e.g., data tooling, core data lake, self-serve analytics), plus in-platform analytical products for Coursera’s university partners and enterprise customers
  • 2. Decision science: driving product and business strategy through measurement, experimentation, and causal inference
  • 3. Machine learning: building algorithmically-powered learner, educator, & employer-facing products including for content discovery, personalized learning, scalable teaching, skill measurement, and talent benchmarking
  • Previous roles:
  • Senior Director of Data Science (October 2018 - February 2020)
  • Director of Data Science (May 2017 - September 2018)
  • Data Science Manager (September 2014 - April 2017)
  • Data Scientist (March 2014 - August 2014)
Data EngineeringDecision ScienceMachine LearningData AnalyticsData Science Leadership

Harvard university

2 roles

Teaching Fellow, Department of Economics

Jan 2011May 2013 · 2 yrs 4 mos

  • Five semesters as teaching fellow for undergraduate and graduate courses in public, education, and labor economics at Harvard, including two semesters guiding seminars in original research. Developed section material and exam content, and curricula on the empirical research process. Courses led by Professors Larry Katz, Claudia Goldin, Marty Feldstein, Jeff Liebman, and Larry Summers.
  • Five-time recipient of the Bok Center for Teaching and Learning Distinction in Teaching.

PhD in Economics

Sep 2009Feb 2014 · 4 yrs 5 mos

  • Fields: Labor Economics, Public Economics
  • Thesis: Essays in Applied Microeconomics. Topics included
  • Using machine learning to analyze network effects in consumer decision making
  • Field experiments in an online labor market quantifying why and how job referrals matter
  • Each published in a Top-5 Economics journal.
  • Advisors: Claudia Goldin and Larry Katz
  • Honors and awards:
  • Harvard Presidential Scholar, 2009 - 2014
  • Presidential Fellow Dissertation Completion Award, 2013 - 2014
  • Lab for Economic Policy and Applications Research Grant, 2012 - 2013
  • Bok Center for Teaching and Learning Distinction in Teaching, 2011 - 2013
  • Simon Kuznets Research Grant, 2011
  • Rita Ricardo-Campbell Fellow in Economics, 2010 - 2011
  • A.M. in 2012

The boston consulting group

Summer Associate

Jun 2008Aug 2008 · 2 mos · San Francisco

  • Investigated the market for Biotech-Pharma partnerships: quantified stated and revealed preferences in partner selection, identified variation in deal structure and terms across product and partner types, and estimated network drivers of partnering activities.

Princeton university

AB in Economics

Sep 2005Jun 2009 · 3 yrs 9 mos

  • The Phi Beta Kappa Student Prize ('to the student of highest academic standing at graduation'), 2009
  • The Halbert White '72 Prize ('to the most outstanding Economics major', shared with H. Staude), 2009
  • The Wolf Balleisen Memorial Prize ('for the best senior thesis in Economics'), 2009
  • summa cum laude, 2009
  • Early-Selection Phi Beta Kappa, 2008
  • Shapiro Prize for Academic Excellence, 2006 and 2007
  • Thesis: An Integrated Economic Analysis of Discrimination in American Theater

Education

Harvard University

Doctor of Philosophy (Ph.D.) — Department of Economics

Jan 2009Jan 2014

Princeton University

Bachelor's (A.B.) — Department of Economics

Jan 2005Jan 2009

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