OverviewThe Director of Data & Analytics is responsible for leading Rising Ground's data strategy, analytics, reporting, and business intelligence functions. This role transforms organizational data into actionable insights that drive performance, improve program outcomes, support regulatory compliance, and advance strategic decision-making across the organization.
The Director serves as a strategic partner for all levels of leadership and program teams by developing data governance practices, overseeing enterprise reporting, identifying performance trends, and fostering a data-informed culture. The position collaborates closely with operational, programmatic, quality, compliance, finance, human resources, and information technology teams to ensure accurate, timely, and meaningful reporting.
Key ResponsibilitiesData Strategy & Analytics
- 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.
Business Intelligence & Reporting
- 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.
Data Governance & Quality
- 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.
Performance Management & Outcomes
- 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.
Performance Management & Outcomes
- 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.
Leadership & Collaboration
- 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.
Technology & Innovation
- 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.
Required Qualification- 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.
Supervisor ResponsibilitiesYes
