Director - Data Management and Analysis

Role Overview

• Develop and implement a comprehensive organizational data and analytics strategy aligned with Rising Ground's mission and strategic plan.
• Lead the collection, analysis, interpretation, and presentation of organizational performance data.
• Identify trends, opportunities, risks, and operational efficiencies through advanced analytics.
• Partner with senior leadership and program administration teams to establish key performance indicators (KPIs) and outcome measures.
• Create predictive and descriptive analytics to support decision-making and resource allocation.
• Oversee enterprise reporting systems and dashboards.
• Design and maintain executive-level, operational and administrative dashboards that provide meaningful insights into organizational performance.
• Ensure data is accessible, understandable, and actionable for stakeholders at all levels.
• Produce recurring and ad hoc reports for executive leadership, board committees, funders, and regulatory agencies.
• Lead efforts to standardize reporting practices across departments and programs.
• Establish and maintain data governance standards, policies, and procedures.
• Ensure data integrity, consistency, security, and compliance with applicable regulations.
• Collaborate with IT and program leadership to improve data collection processes and system utilization.
• Conduct data audits and quality reviews to ensure accuracy and reliability.
• Develop protocols for data stewardship and accountability throughout the organization.
• Support program evaluation efforts and outcome measurement initiatives required by all funders.
• Analyze program effectiveness and operational performance to identify opportunities for improvement.
• Collaborate with Quality Management, Compliance, and Operations teams to monitor organizational performance indicators.
• Assist leadership in translating data findings into actionable improvement plans.
• Supervise and mentor data analysts' team, reporting specialists, and other assigned staff.
• Build organizational capacity through training and education on data literacy and analytics.
• Serve as a subject matter expert on data analytics, performance measurement, and business intelligence.
• Participate in organizational committees, strategic planning efforts, and cross-functional initiatives.
• Foster a culture of continuous improvement and evidence-based decision-making.
• Evaluate and implement emerging analytics tools and technologies.
• Lead initiatives related to data visualization, artificial intelligence, automation, and advanced reporting capabilities.
• Partner with technology teams to optimize data infrastructure and reporting platforms.
• Identify opportunities to leverage AI and predictive analytics to improve organizational effectiveness.
• Other related duties as assigned by supervisor.

Requirements

• Bachelor’s degree in data Analytics, Statistics, Information Systems, Business Administration, Public Health, Social Sciences, or a related field required; Master's degree preferred.
• 7–10 years of progressive experience in data analytics, business intelligence, performance management, or a related field, including 3–5 years of leadership experience.
• Experience in nonprofit, healthcare, behavioral health, human services, child welfare, or education is strongly preferred.
• Proficiency with business intelligence and data visualization tools (e.g., Power BI, Tableau, SQL, Netsmart), along with strong analytical, data governance, and quality improvement knowledge.
• Excellent communication, presentation, project management, and organizational skills, with the ability to translate complex data into actionable insights and influence decision-making.
• Demonstrated leadership characterized by accountability, integrity, emotional intelligence, professionalism, resilience, sound judgment, and a commitment to equity, inclusion, and mission-driven work.
• Ability to work at a computer for extended periods and attend meetings and presentations both virtually and in person.

Tech Stack

• SQL
• Tableau