PEM-Director - Data Management and Analysis

Posted 3 Days Ago
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New York, NY, USA
In-Office
Senior level
Social Impact
The Role
Lead organizational data strategy, analytics, BI, and governance. Build dashboards, run advanced and predictive analyses, support program evaluation and compliance, mentor analysts, and partner with leadership to drive data-informed decisions and improve outcomes.
Summary Generated by Built In

Overview

The 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 Responsibilities

Data 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 Responsibilities

Yes

Skills Required

  • Bachelor's degree in Data Analytics, Statistics, Information Systems, Business Administration, Public Health, Social Sciences, or related field
  • Master's degree
  • 7-10 years progressive experience in data analytics, business intelligence, performance management, or related field
  • 3-5 years of leadership/management experience
  • Proficiency with business intelligence and data visualization tools (Power BI, Tableau) and SQL
  • Experience with Netsmart
  • Strong analytical, data governance, and quality improvement knowledge
  • Excellent communication, presentation, project management, and organizational skills
  • Demonstrated leadership qualities (accountability, integrity, emotional intelligence) and commitment to equity and mission-driven work
  • Ability to work at a computer for extended periods and attend meetings and presentations both virtually and in person
  • Experience in nonprofit, healthcare, behavioral health, human services, child welfare, or education
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The Company
HQ: Yonkers, NY
1,055 Employees
Year Founded: 1831

What We Do

Driven by the belief that each of us can thrive when life has hope and opportunity, Rising Ground provides caring support and proven paths to positive change, helping children, adults, and families rise above adversity. With an annual budget of $203 million and 101 programs at 138 sites throughout the New York City and lower Westchester area, we deliver dedicated support to promote safe environments for children and help families thrive through our family stabilization, family foster care and adoption programs; innovative special educational programs that advance learning from early childhood through high school; result-focused programs that help court-involved youth change the trajectory of their lives; caring services that promote independence for children and adults with developmental disabilities; and pro-active community health initiatives that foster well-being. Across programs, we continually engage new, innovative techniques and implement evidence-based models to increase our impact and promote better outcomes.

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