Megan Golden

Megan Golden is currently a fellow at the NYU Wagner Innovation Labs and a consultant to nonprofit organizations and governments seeking to increase their impact. She specializes in performance management, innovation, and innovative financing mechanisms for scaling and sustaining effective interventions. She recently conducted a feasibility study for South Carolina on “pay for success” financing for early childhood interventions and served on the advisory group for McKinsey & Company’s work on social impact bonds.

From 1999-2011, Golden was the Director of Planning and Government Innovation at the Vera Institute of Justice, where she worked in partnership with government to implement innovations in criminal justice, juvenile justice, child welfare, school safety, mental health, and eldercare. In addition to creating and launching eight innovative programs, she led a major reform of New Orleans's criminal justice system and helped Chinese academics and officials pilot criminal justice reforms. In addition to her work at Vera, Golden directed the Fellowship for Emerging Leaders in Public Service at NYU Wagner from 2006 – 2009. Golden practiced law from 1992-1994 as a Skadden Fellow at the Neighborhood Defender Service of Harlem. In 1994, she was awarded a White House Fellowship. Golden began her career working for New York City government as an Urban Fellow. She has a BA in political science from Brown University and a JD magna cum laude from the New York University School of Law.

Semester Course
Spring 2012 PADM-GP.2170.002 Performance Measurement and Management for Public, Nonprofit, and Health Care Organizations

All public and not-for-profit organizations must assemble and report information on their performance. The need for performance measures goes beyond legal and regulatory requirements. To provide services effectively and efficiently, managers need information to make decisions. This course focuses on what performance measures are needed, how they should be created and what forms of communication are most effective.

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