Impact Evaluation Specialist

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The Center for Policing Equity 

Los Angeles, CA or New York, NY (or remote, for the right candidate)  

About the Center for Policing Equity

The Center for Policing Equity (CPE) uses evidence-based approaches to social justice problems and conducts research to create levers for social, cultural, and policy change. 

Position Description

The Center for Policing Equity is seeking an experienced Impact Evaluation Specialist to support the Data-Driven Interventions (DDI) team in the management and coordination of its monitoring & evaluation programming.

The Impact Evaluation Specialist will be responsible for assessing CPE’s interventions in public safety agencies and assessing the extent to which our work is contributing to desirable criminal justice and socio-economic outcomes, in line with our organizational theory of change. Most notably, these interventions include the National Justice Database (NJD) and COMPSTAT for Justice (C4J). The NJD is the first and largest collection of data on police behavior in the country (e.g., vehicle stops, pedestrian stops, use of force); C4J is a process that leverages NJD data to provide recommendations to police departments so that they may hold themselves accountable to their values of fair and equitable policing practices.

Key Responsibilities

  • Design, oversee, and lead the implementation of project and programmatic impact evaluation work, including conceptual framework, methods and tool development.
  • Identify available and relevant data for the impact evaluation of COMPSTAT for Justice, including internal and external data sources
  • Integrate data from different systems, to ensure data quality/completeness and assemble a fuller picture of research partners’ behaviors and outcomes, including intermediate outcomes (e.g., behavioral change, attitudinal change) and long-term outcomes (e.g., public health, incarceration rates)
  • Collaborate with program owners to identify recommendations on product and service design as well as partner experience and retention based on your impact evaluation findings
  • Follow up on implementation of evaluations and evaluation recommendations to ensure the optimal use of evaluation findings by project teams and future project designs.
  • Produce tables, data visualizations, reports, presentations and manuscripts based on findings, for internal and/or public dissemination.

Qualifications

  • Graduate degree in a relevant discipline (e.g., statistics, mathematics, data science, public policy,  applied economics, political science, or sociology)
  • Demonstrated experience in designing and leading impact evaluation work
  • Superior knowledge of best practices and current trends in large project portfolio monitoring and evaluation
  • Data modeling and integration knowledge and skills.
  • Data life cycle management knowledge and skills.
  • Ability to develop solutions to loosely defined business problems by leveraging pattern detection over large data sets.

Personal Attributes & Competencies

  • Good personal organizational and priority-setting skills, with the ability to manage multiple priorities
  • Proven track record of working with diverse partners to solve problems and achieve shared goals
  • Capable of working independently as well as being an effective team player, with initiative and creativity
  • Good interpersonal and communication skills, with the ability to effectively interact with people in a multidisciplinary and multicultural environment
  • Values the sharing of information and continuous improvement in a cooperative atmosphere of constructive evaluation and learning

Application Submission Guidelines

Applications will be considered on a rolling basis. However, applications received after October 15, 2019 will receive delayed consideration. 

Please submit the following materials to apply:

  • Resume/CV
  • Cover Letter
  • 2 writing samples

Please be sure to label each PDF file by including your name. For example, your submitted CV should be labeled, “LASTNAME_FIRSTNAME.CV.pdf.”

Location: New York, NY
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