Data and Evaluation Manager
How to Apply
A cover letter and resume are required for consideration for this position. The cover letter should be included in the same document as your resume and should specifically address your interest in this position and outline particular skills and experience directly related to this position.
Poverty Solutions at the University of Michigan is seeking a Project Manager to assist in project work and research.
Poverty Solutions is an interdisciplinary university-wide initiative that seeks to foster research to identify and test strategies for the prevention and alleviation of poverty. Poverty Solutions’ action-based research is focused on determining what is most effective and brings new discoveries to policy makers and community stakeholders.
One such partnership is our Partnership on Economic Mobility with the city of Detroit, a joint effort to identify and implement concrete, evidence-based strategies that significantly improve economic opportunity and reduce poverty in Detroit. In concert with U-M experts and city departments, we serve three critical roles: • Advise city officials on evidence-based strategies to enhance the economic mobility of Detroiters;• Provide technical support and data analysis in the implementation of mobility initiatives; and• Evaluate city initiatives to measure both short and long-term impacts on economic mobility, using publicly available data, city administrative resources, and resident surveys.
The position will serve as a project manager for Poverty Solutions projects, including those related to the Partnership on Economic Mobility. This position will spend a minimum of one day per week in our Detroit office at the University of Michigan Detroit Center and a minimum of one day per week at the Poverty Solutions’ Ann Arbor office at the Gerald R. Ford School of Public Policy with the flexibility to conduct the majority of their work in either office depending on their geographic location and preference.
Please note: This role may be filled at the senior level for a highly qualified candidate who, in addition to the qualifications listed above has a doctoral degree in public policy, education, political science, economics or a relevant social science discipline and 5+ years commensurate experience in quantitative research projects.
Project management: Plan and manage all phases of the research and data analysis projects, including timeline, data gathering and analysis, coordinating the work of others, project deliverables.
Agency relations: Serve as key liaison for research partners to establish working relationships, build trust and gather data.
Research administration: The Project Manager will complete IRB research applications, ensuring compliance with University and Sponsor regulations, maintain data agreements and data security, and will also draft and manage project reports for the sponsor, maintain project records, and other administrative duties.
Data processing and management: Primary responsibilities include gathering, processing, merging, managing and archiving data; entering data into databases; documenting all data processing steps; creating, maintaining, and archiving survey and other study documentation. Preference given to candidates who have some experience designing and developing databases.
Data analysis: Analyzing longitudinal data; creating indices and other summary variables; and performing both basic and complex social science statistical analysis.
Research dissemination: Assist with preparation of results for memos, spreadsheets, presentations, and data visualizations targeting community residents, policymakers, and academic audiences; conduct thorough and critical reviews of relevant literature.
Assists with research collaboration and training. Maintain relationships with other research partners, centers on campus and City of Detroit staff, develop training for research assistants.
Other responsibilities as assigned.
Demonstrated knowledge of and interest in poverty alleviation and economic mobility policy with knowledge of social science research methods, concepts and practices typically acquired through the completion of a graduate-level degree in public policy, education, political science, economics or a relevant social science discipline and a minimum of 1-3 years of experience working on quantitative research projects (field operations; data management; analysis). A Bachelor’s degree and significant professional experience may be considered in lieu of a graduate degree.
Excellent computing skills, including the ability to learn new software packages quickly; substantial experience with social science statistical software packages, particularly with STATA, for both data management and analysis operations; strong data skills with MS Excel; strong statistical analysis skills.
Ability to effectively interact with individuals from diverse backgrounds, including the ability to work cooperatively with faculty and staff throughout the Ford School and the greater U of M community.
Proven ability to work in a fast-paced environment, handle multiple projects simultaneously, set priorities, and take initiative while keeping supervisors and project leads informed.
Strong written and verbal communication skills required; experience producing communication materials to diverse audiences preferred.
- Experience working with large and complex data sets, restricted data and data safeguarding procedures
- Experience with GIS, data visualization and presentation
- Experience providing instruction/training to others
- Experience working with government, nonprofit, and academic stakeholders
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.