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How much do evaluation manager jobs pay per year?

As of Aug 1, 2026, the average yearly pay for evaluation manager in the United States is $59,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $68,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Evaluation Manager, and why are they important?

To thrive as an Evaluation Manager, you need strong analytical skills, experience with program evaluation methodologies, and typically a degree in social sciences, public health, or a related field. Familiarity with data analysis software such as SPSS, Stata, or R, and knowledge of monitoring and evaluation (M&E) frameworks and reporting systems are common requirements. Outstanding communication, stakeholder engagement, and project management abilities set top candidates apart. These skills ensure effective assessment of program impact, support data-driven decision-making, and foster organizational learning and accountability.

What is the difference between Evaluation Manager vs Data Analyst?

AspectEvaluation ManagerData Analyst
Required CredentialsTypically requires a master's degree in social sciences, evaluation, or related fields; certifications like CED or MEASUREBachelor's or master's in statistics, data science, or related fields; certifications like CAP or Microsoft Certified Data Analyst
Work EnvironmentOften in nonprofit, government, or research organizations; focus on program evaluation and impact assessmentIn various industries including finance, marketing, healthcare; focus on data collection, analysis, and reporting
Employer & Industry UsageUsed by organizations conducting evaluations of programs, policies, or projectsUsed across industries for data-driven decision making and reporting

Evaluation Managers focus on assessing program effectiveness and impact, often requiring specialized evaluation credentials. Data Analysts primarily analyze data sets to inform business decisions, requiring strong statistical skills. While both roles involve data, Evaluation Managers emphasize evaluation methodologies, whereas Data Analysts focus on data processing and visualization.

What are Evaluation Managers?

Evaluation Managers are professionals responsible for designing, implementing, and overseeing the assessment of programs, projects, or policies within organizations. They collect and analyze data to determine the effectiveness, efficiency, and impact of initiatives, using findings to inform decision-making and recommend improvements. Evaluation Managers often work in sectors such as non-profits, government, healthcare, and education, ensuring accountability and supporting continuous organizational learning.

What are some common challenges faced by Evaluation Managers when implementing assessment frameworks across large organizations?

Evaluation Managers often encounter challenges such as aligning diverse stakeholder expectations, ensuring data consistency, and integrating assessment frameworks into existing workflows. Managing cross-functional teams and securing buy-in from various departments can require strong communication and negotiation skills. Additionally, maintaining data quality and adapting evaluation methods to evolving organizational needs are ongoing responsibilities that require flexibility and problem-solving abilities.
More about Evaluation Manager jobs
What cities are hiring for Evaluation Manager jobs? Cities with the most Evaluation Manager job openings:
What are the most commonly searched types of Evaluation jobs? The most popular types of Evaluation jobs are:
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What job categories do people searching Evaluation Manager jobs look for? The top searched job categories for Evaluation Manager jobs are:
Evaluation Manager jobs near you
Infographic showing various Evaluation Manager job openings in the United States as of July 2026, with employment types broken down into 2% As Needed, 79% Full Time, 17% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $59,525 per year, or $28.6 per hour.

Evaluation Manager

The Research Foundation of the City University of New York

New York, NY • On-site

Part-time

Posted 23 days ago

Research Foundation of the City University of New York rating

7.8

Company rating: 7.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

137th of 759 rated non-profit organizations

Job description

Thank you for considering a career with the Research Foundation of The City University of New York (RFCUNY).
The team at RFCUNY is made up of dedicated, talented professionals committed to providing the services that allow CUNY researchers, faculty, and staff to focus on their intellectual curiosity and scientific discoveries.
We are pleased that you are interested in exploring opportunities to join RFCUNY.
Primary Location:
The CITY COLLEGE of NEW YORK
Bargaining Unit:
No
The CUNY School of Medicine (CUNY MED) is the only medical school in the City University of New York (CUNY) system. As the recipient of a Research Centers in Minority Institutions (RCMI) U54 Cooperative Agreement, CUNY MED has established the NYCenter for Advancing Translational Research and Health whose mission is to address and advance the science of health gaps affecting communities in New York City.
Under the general supervision of the NYCenter Multiple Principal Investigators (MPIs) and reporting to the RCMI Internal Evaluator, the Evaluation Manager will assist in the development of program evaluation measures & documentation tools with an emphasis on data management and analysis; statistical programming; data coding, entry, and editing; technical report writing; and library research. The Evaluation Manager will develop & maintain a resource pool and provide RCMI MPIs and Core Directors consultation on research design and reporting methodologies; will aggregate and standardize existing databases as needed to ensure compliance with all data storage & access regulations.
Duties include:
  • Develop and collaborate on programs to meet the statistical & evaluation needs of the NYCenter MPIs, Core Co-leaders, Research Project PIs, and Pilot Project PIs
  • Provide consultation to community partners on designing data collection procedures, setting up data files, and applying appropriate computer techniques
  • Use of statistical program packages (SAS and SPSS), file editing systems, and other computational skills of primary importance to The NYCenter core activities
  • Design data entry templates within SAS, SPSS, Excel, Access, and other programs, develop appropriate codes for data to be collected and develop and maintain coding manuals and data dictionaries/codebooks as necessary
  • Conduct preliminary data analysis and prepare programmatic reports as needed
  • Confer with others on the project team, contributing to team efforts to document activities, gather programmatic information, and/or populate data files
  • Review database characteristics, such as location, amount of space, & access method, and propose and make approved changes pertinent to project requirements
  • Protect the confidentiality of project data, ensuring compliance with FERPA and/or HIPAA regulations
  • Other duties as assigned

Qualifications:
  • A Master's Degree in a relevant field of study from an accredited institution and at least three to six (3-6) years of program evaluation experience pertinent to the scope and complexity of large NIH research grants; OR
  • A Ph.D. in a relevant field of study from an accredited institution, a record of research, publishing, and scholarship, and at least (2) years of additional program evaluation experience pertinent to the scope and complexity of large NIH research grants; OR
  • A background in statistics and an equivalent record of program evaluation experience pertinent to the scope and complexity of large NIH research grants AND
  • Possession of the core competencies required at the time of hire AND
  • Timely availability to begin and direct the project core AND
  • Willingness to comply with all RF policies and procedures regarding staffing, budgeting, safety, reporting, and grants administration.

Core Competencies:
  • Ability to develop and collaborate on programs to meet the statistical needs of a large NIH-Funded research project
  • Ability to provide consultation to community partners in designing data collection procedures and applying appropriate techniques
  • Knowledge of statistical program packages, file editing systems, programs, and other computational skills of primary importance to the NYCenter evaluation activities
  • Ability to design data entry templates, assign appropriate data collection codes, and develop and maintain coding manuals and data dictionaries/codebooks
  • Ability to conduct preliminary data analysis and prepare programmatic reports
  • Ability to communicate effectively with project staff and internal & external constituents needed for The NYCenter documentation activities, programmatic information, and to populate data files
  • Ability to review, suggest, and implement approved changes in database variables according to project requirements; identify database characteristics, such as location, amount of space, and access methods
  • Expert Knowledge of FERPA and/or HIPAA regulations to ensure the confidentiality of project data, ensuring compliance with all regulations of a large NIH-Funded research project

Pay Range:
Minimum - Maximum: $32/hr
20hrs/week max
RFCUNY Benefits
RFCUNY Employee Benefits and Accruals
Equal Employment Opportunity Statement
The Research Foundation of the City University of New York is an Equal Opportunity/Affirmative Action/Americans with Disabilities Act/E-Verify Employer. It is the policy of the Research Foundation of CUNY to provide equal employment opportunities free of discrimination based on race, color, age, religion, sex, pregnancy, childbirth, national origin, disability, marital status, veteran status, sexual orientation, gender identity, genetic information, marital status, domestic violence victim status, arrest record, criminal conviction history, or any other protected characteristic under applicable law.

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