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Data Evaluation Manager Jobs (NOW HIRING)

... Data & Evaluation Manager role. In this position, you will contribute to expanding equitable access to justice-focused community investment by building and managing the data, reporting, and ...

Data & Evaluation Associate

Philadelphia, PA ยท On-site

$75K - $85K/yr

Evaluating service quality and consistency, identifying needed improvements, and tracking these ... Clean, manage and integrate data from key system sources -- child welfare, juvenile justice ...

In this role, you will guide a team responsible for the critical data and evaluation pipelines that ... Description As the Engineering Manager for this team, you will be at the forefront of our AI/ML ...

In this role, you will guide a team responsible for the critical data and evaluation pipelines that ... Description As the Engineering Manager for this team, you will be at the forefront of our AI/ML ...

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Data Evaluation Manager information

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$31K

$97.1K

$172K

How much do data evaluation manager jobs pay per year?

As of Aug 2, 2026, the average yearly pay for data evaluation manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

How does a Data Evaluation Manager typically collaborate with other departments within an organization?

Data Evaluation Managers frequently work cross-functionally, partnering with teams such as IT, data analytics, operations, and business strategy to ensure that data collection, analysis, and interpretation align with organizational goals. They may lead meetings to discuss data needs, coordinate with analysts to clarify evaluation methodologies, and present findings to decision-makers. Effective collaboration ensures that data-driven insights are actionable and relevant, and it often involves translating complex data concepts into clear recommendations for non-technical stakeholders.

What are Data Evaluation Managers?

Data Evaluation Managers are professionals responsible for overseeing the assessment, analysis, and interpretation of data within an organization. They ensure that collected data is accurate, relevant, and effectively used to inform business decisions. Their role often includes developing evaluation frameworks, managing data collection processes, and presenting findings to stakeholders. Data Evaluation Managers may work in various sectors, including business, healthcare, and education, to improve programs and strategies based on data insights.

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

To thrive as a Data Evaluation Manager, you need strong analytical skills, expertise in data analysis methodologies, and a background in statistics or a related field, typically supported by a relevant degree. Familiarity with data visualization tools (such as Tableau or Power BI), statistical software (like R or SPSS), and database management systems is essential. Excellent communication, leadership, and problem-solving abilities help you translate complex data insights into actionable recommendations and lead cross-functional teams effectively. These skills are crucial for ensuring accurate data-driven decision-making and maximizing the value of organizational data assets.

What is the difference between Data Evaluation Manager vs Data Analyst?

AspectData Evaluation ManagerData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; experience in data managementBachelor's degree in data analysis, statistics, or related field; proficiency in data tools
Work EnvironmentOversees data evaluation teams, manages data quality processes, collaborates with stakeholdersAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed in organizations with large data teams, focus on data quality and evaluationCommon across industries for data reporting and insights

The Data Evaluation Manager focuses on overseeing data quality, evaluation processes, and team management, ensuring data integrity for strategic decisions. In contrast, Data Analysts primarily analyze data sets, generate reports, and support operational and business insights. While both roles require similar educational backgrounds, the Manager role involves leadership and process oversight, whereas the Analyst role emphasizes data analysis skills.

More about Data Evaluation Manager jobs
What cities are hiring for Data Evaluation Manager jobs? Cities with the most Data Evaluation Manager job openings:
What are the most commonly searched types of Data Evaluation jobs? The most popular types of Data Evaluation jobs are:
What states have the most Data Evaluation Manager jobs? States with the most job openings for Data Evaluation Manager jobs include:
What job categories do people searching Data Evaluation Manager jobs look for? The top searched job categories for Data Evaluation Manager jobs are:
Infographic showing various Data Evaluation Manager job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Data & Evaluation Manager

Open Doors Academy

Cleveland, OH โ€ข On-site

Full-time

Posted 10 days ago


Job description

Data & Evaluation Manager

Department

Programming

Job Status

Full-Time

Reports To

Senior Director of Advancement

Job Type

Regular

Positions Supervised

PT Data Coordinator

FLSA Status

Exempt

Amount of Travel

10%

Work Schedule

M-F 10am-6pm, Hybrid Schedule, Occasional evenings and weekends


POSITION SUMMARY

The Data & Evaluation Manager leads Open Doors Academy’s data management, analysis, reporting, and evaluation efforts. This position ensures that scholar and organizational data are accurate, secure, and effectively used to support program improvement, grant compliance, organizational learning, and strategic decision-making.

The Data & Evaluation Manager works across departments and with external partners to coordinate data collection, maintain data systems, analyze outcomes, and translate complex information into clear dashboards, graphs, reports, presentations, and executive summaries. This position helps leadership, Board members, funders, school districts, and community partners understand ODA’s performance, impact, and opportunities for improvement.

ESSENTIAL RESPONSIBILITIES

Data Management and Quality

  • Lead organization-wide data collection, management, validation, and reporting processes.
  • Develop and maintain clear data standards, standard operating procedures, reporting calendars, and documentation.
  • Establish data-quality practices that promote accurate, complete, consistent, and timely information.
  • Review data regularly to identify errors, missing information, inconsistencies, and reporting concerns.
  • Work with department managers to resolve data issues and strengthen staff compliance with established procedures.
  • Identify opportunities to simplify, improve, or automate data collection and reporting processes.
  • Maintain the confidentiality and security of scholar, family, employee, and organizational information.
  • Ensure compliance with FERPA, data-sharing agreements, grant requirements, and other applicable privacy standards.

Data Systems and External Partnerships

  • Serve as the primary administrator and internal expert for ODA’s data management and reporting systems.
  • Maintain system configurations, user access, permissions, reporting formats, and data integrity.
  • Manage relationships with data software vendors and coordinate the resolution of system issues.
  • Evaluate tools and system improvements that may strengthen organizational data capacity.
  • Coordinate data exchanges with school districts, schools, evaluation partners, and community organizations.

Strategic Analysis, Reporting & Evaluation

  • Analyze program and organizational data to identify trends, strengths, performance gaps, risks, and opportunities.
  • Translate complex data into clear, actionable dashboards, graphs, scorecards, reports, and presentations for technical and nontechnical audiences.
  • Prepare monthly, quarterly, annual, and ad hoc reports that communicate scholar outcomes, organizational performance, and progress toward grant and program goals.
  • Collaborate with Advancement and Programming leadership to align data collection, performance measures, grant requirements, and reporting needs.
  • Support internal and third-party evaluations by coordinating data collection, analysis, reporting, and interpretation of findings.
  • Ensure reports and visualizations are accurate, accessible, consistent, audience-appropriate, and supported by organized documentation for compliance and audit readiness.

Collaboration and Organizational Support

  • Partner with Programming, Advancement, Finance, Communications, and Executive Leadership to identify and address organizational data needs.
  • Provide department managers with data procedures, tools, reporting guidance, and resources needed to support staff implementation.
  • Serve as the primary internal resource for data-related questions and reporting requests.
  • Participate in leadership, departmental, cross-functional, and external partner meetings as assigned.
  • Maintain accurate records and complete required work by established deadlines.
  • Promote ODA’s mission, values, and commitment to scholar success.
  • Contribute to a collaborative, equitable, inclusive, and continuously improving organizational culture.


POSITION QUALIFICATIONS

Education

Bachelor’s degree in data analytics, statistics, information systems, education, public administration, social sciences, nonprofit management, program evaluation, or a related field required.

Experience

  • At least three years of professional experience in data management, data analysis, program evaluation, educational data, nonprofit performance measurement, or a related field.
  • Experience collecting, cleaning, validating, analyzing, and presenting data from multiple sources.
  • Demonstrated experience developing dashboards, visualizations, presentations, or executive-level reports.
  • Experience translating complex findings into clear and actionable information.
  • Experience managing multiple projects and deadlines with a high level of accuracy.

TECHNICAL SKILLS

Required

  • Advanced Microsoft Excel 
  • Microsoft Office 365 
  • Database and CRM management 
  • Data cleaning, validation, and quality assurance 
  • Data analysis and reporting 
  • Dashboard development and data visualization 
  • Strong written and verbal communication skills 

Preferred

Experience with one or more of the following is preferred:

  • Power BI or Tableau 
  • Salesforce or similar CRM
  • SQL 
  • Python or R 
  • Survey platforms (Qualtrics, SurveyMonkey, etc.) 
  • Experience working with educational or nonprofit data systems

Candidates are not expected to have experience with every preferred platform. The ability to learn new systems and apply technology effectively is essential.