Associate Director of Data and Evaluation

Responsibilities

Internal Evaluation Practices:

• Design and oversee internal evaluation processes, including selecting methodologies and data collection instruments.
• Guide team members in data collection, analysis, and interpretation.
• Facilitate rapid cycle study cycles to assess and adjust program interventions.

Data Governance Leadership:

• Lead the development and implementation of data governance policies and processes.
• Establish and enforce data quality standards, privacy, and security measures to ensure compliance.
• Collaborate with IT and data management teams to support governance policies and processes.
• Document data governance procedures, including data cleaning, standardization, and security protocols.
• Lead initiatives to improve data stewardship and literacy across the organization.

Statistical Modeling:

• Develop and implement statistical models (e.g., regression analysis, predictive modeling).
• Conduct complex data analyses to evaluate program effectiveness.
• Utilize statistical software and tools for data analysis and interpretation.

Collaboration and Consultation:

• Collaborate with program teams to integrate evaluation findings into planning and decision-making.
• Provide training and support on statistical modeling techniques and evaluation best practices.
• Present evidence to stakeholders showing the need for and effectiveness of services.

Reporting and Communication:

• Communicate evaluation findings through reports, presentations, and other means.
• Develop data storytelling tools (dashboards, presentations, reports) for various audience.

Continuous Improvement:

• Continuously evaluate and improve data collection and evaluation methodologies.
• Stay updated on best practices in data analysis, evaluation, and statistical modeling.
• Other roles/duties will be assigned as necessary to assist and support in the attainment of our mission, All Rural Students Succeed.

Skillset

• Master’s degree in Data Science, Statistics, Public Policy, or a related field (or a Bachelor’s degree with equivalent experience).
• Minimum of 5 years of experience in data analysis, statistical modeling, and program evaluation.
• At least 1 year of people management experience.
• Experience in the education sector or with educational grant programs.
• Familiarity with FERPA regulations and data privacy standards.
• Experience conducting training and capacity-building activities related to data analysis and evaluation.
• Proficiency in statistical software (e.g., R, SAS, SPSS) and data visualization tools (e.g., Power BI).
• Strong understanding of advanced statistical methods and their applications in program evaluation.
• Excellent project management skills, with the ability to lead multiple projects simultaneously.
• Strong analytical and problem-solving skills, with keen attention to detail.
• Excellent oral and written communication skills, with the ability to clearly articulate complex data findings.
• Demonstrated ability to collaborate effectively with cross-functional teams and stakeholders.
• Commitment to maintaining the highest standards of data integrity, confidentiality, and ethical practices.
• Valid driver’s license.
• Successfully complete pre-employment background check.