General Info: US Citizen or GC Holders only No C2C, must be on our W2 Hybrid work model Bachelors Degree Required Position Overview: The Senior Director of Data Analytics is a strategic and hands-on leader responsible for designing and executing a data strategy that empowers evidence-based decisions across the organization. This role leads the development of a centralized data warehouse, enterprise analytics, and strong data governance practices. It also drives advanced analytics – including predictive modeling – to generate insights that improve outcomes, identify risks, and maximize impact. The position is instrumental in guiding strategic decisions, program innovation, and performance measurement across all sites and services. Professional Experience: • 10+ years of progressive experience in data analytics. • Proven ability to build scalable data infrastructure, ideally in nonprofit, social impact, or healthcare settings. • Proficiency in data science tools/languages (e.g., SQL, Python, R) and visualization platforms (e.g., Tableau, Power BI, Looker). • Demonstrated experience with predictive modeling, machine learning, and statistical analysis. • Experience implementing data governance frameworks and managing data quality/stewardship. • Exceptional communication skills – able to translate complex analytics into strategic insights. Key Responsibilities: Data Strategy & Infrastructure • Lead the development and execution of the organization’s data strategy in alignment with overall goals. • Oversee the creation of a centralized data warehouse and implement governance frameworks to ensure data integrity. • Establish a measurement framework to evaluate program effectiveness and community impact. • Collaborate with leadership to define key performance indicators (KPIs) and track progress. • Act as a strategic partner, translating insights into actionable decisions. • Drive continuous improvement through internal reporting and program metrics. Data Quality, Governance & Stewardship • Develop and enforce data governance policies in partnership with IT, emphasizing integrity, privacy, and access. • Maintain data dictionaries, metadata standards, and audit protocols. • Ensure infrastructure security and regulatory compliance through collaboration with IT and vendors. • Oversee data validation processes to uphold quality standards. • Ensure adherence to all federal, state, and local data regulations. Advanced Analytics & AI • Develop predictive models to enhance participant outcomes, optimize program delivery, and inform resource allocation. • Leverage natural language processing (NLP) to analyze qualitative data and improve service insights and strategies. • Apply geospatial analytics for site planning and assessing community needs. • Monitor emerging trends in AI, automation, and data science to identify innovative solutions that advance organizational objectives. Performance Reporting & Measurement • Design and maintain dashboards and reporting tools in collaboration with IT. • Lead organization-wide efforts to define, monitor, and communicate KPIs. • Work closely with program and evaluation teams in support of grant management, ensuring accurate tracking, analysis, and reporting of program outcomes to support compliance. • In partnership with the CEO, turn data into compelling stories that can be used to drive engagement and support. Cross-Functional Collaboration and Leadership • Collaborate with functional leaders across Program, Development, Finance, HR, Learning & Development, and IT to align data strategies with organizational goals. • Collaborate with internal stakeholders to understand operational models and develop data collection processes that align with goals and funder requirements. • Represent the organization in data-driven collaborations, research initiatives, and external presentations to advance thought leadership and partnership opportunities. Preferred Education: • Master’s or Ph.D. in Data Science, Public Policy, Statistics, Computer Science, or related field. • Experience with NLP tools and frameworks and GIS/geospatial platforms. • Familiarity with logic models, outcomes frameworks, or evidence-based program evaluation.