Director of Data Quality and Evaluation

About the role

The Director of Data Quality and Evaluation leads data strategy, quality, and evaluation for Communities In Schools North Carolina (CISNC). The role serves as the organization's subject matter expert on data systems and data quality, overseeing the full data lifecycle and partnering with the National team and affiliate network to measure impact and drive continuous improvement.

Responsibilities

• Build data collection, quality assurance, and reporting capacity of local affiliates and the state office by providing ongoing training and technical assistance for the CIS Data Management system (CISDM) and all CISNC program data management platforms.
• Establish and maintain data quality standards to ensure accuracy and completeness across all data sources.
• Build and maintain partnerships with school districts and external data providers to facilitate secure data access, sharing, and analysis.
• Negotiate data sharing agreements and ensure compliance with applicable data privacy regulations (e.g., FERPA), where applicable.
• Design and deliver custom and standardized reports and interactive dashboards on student attendance, enrollment, service delivery, outcomes, demographics, and other key indicators for program areas, departments, and network members.
• Cultivate a strong data culture across the network by developing affiliate capacity and championing best practices in data literacy, quality, and ethical use of data at all levels of the organization.
• Analyze data and synthesize current research and trends related to chronic absenteeism, student behavior, graduation, college and career readiness, and recidivism to identify patterns, opportunities for system change, and strategies for advancing student outcomes.
• In partnership with CIS network, national offices, and internal teams, develop innovative data storytelling approaches, including dashboards, infographics, and narrative reports, to communicate CIS' impact to diverse audiences and amplify student and family stories in a compelling, data-informed way.
• Serve as an internal data consultant: collect, manage, analyze, and interpret data to support research, evaluation, assessment, and data sharing activities across state office and network teams. Lead the affiliate end-of-year reporting and external validation process and ensure data submissions meet quality and completeness standards.
• Identify, obtain, clean, and integrate data from existing and new sources, including public datasets, district systems, and program databases, to enrich analysis, strengthen the CIS narrative, and support grant reporting and stakeholder communications.
• Act as a liaison for CISNC involving research, evaluation, and data, with staff at the affiliate and national levels.
• Must be willing to travel.
• Must be able to see, hear, speak and move about the office as well as various school-based sites.
• All other duties as assigned.
• Must be able to lift 20lbs.
• Must possess a valid driver’s license.

Qualifications

• Minimum of a Master’s Degree in Social Sciences; two years’ experience in applied research setting.
• Necessary Skills:
• Technologically proficient in all office technology systems including spreadsheeting, word processing, email, and Skype.
• Excellent computer skills with Microsoft Office products.
• Ability to express ideas concisely and clearly both verbally and in writing.
• Effectively present complex information during training sessions, workshops, and presentations for a wide range of audiences.
• Strong interpersonal skills and the capacity to work well with various individuals at all levels, inside and outside the organization.
• Experience with non-profit entities strongly preferred.

Skills

• Student-Centered
• Integrity & Accountability
• Collaboration
• Impact-Driven Excellence
• Respect
• Adaptability & Flexibility
• Analysis / Reasoning
• Communication
• Planning & Organizing
• Self-Management
• Technology Skills
• Relationship Building
• Creative & Innovative Thinking
• Development & Continual Learning