Director, Data Analytics

With an overarching mission to eliminate ageism and ensure the dignity and quality of life of approximately 1.8 million older New Yorkers, the NYC Department for the Aging is deeply committed to helping older adults age in their homes and creating a community-care approach that reflects a model age-inclusive city.

The Office of Planning and Analytics (OPA), an office in the NYC Aging’s Bureau of Planning & Strategic Initiatives (PSI), plays a key role in support of the agency’s performance monitoring, data tracking, guidelines, compliance and modernization efforts. In addition to being responsible for producing a wide range of data reports and special analyses, OPA strengthens the efforts of NYC Aging, its providers and oversight agencies to track progress in delivering services to older New Yorkers.

OPA seeks a motivated, organized and detail-oriented individual with excellent data management, analytic, quantitative and leadership skills to serve as the Director of OPA’s Data Analytics Unit (DAU). The Director will play a crucial role in providing the strategic leadership and oversight of NYC Aging’s data infrastructure, analytic functions, and reporting systems. This position is responsible for developing and executing a comprehensive data strategy that ensures data integrity, accessibility, and actionable insights to inform decision-making, policy development, and service improvement.

The Director leads a team of data analysts and reporting specialists and works cross‑departmentally to support a data-driven culture throughout the organization.

• Strategic Leadership
• Develop and implement an enterprise-wide data strategy encompassing analytics, reporting, and data governance.
• Serve as the senior advisor on data and analytics, guiding executives and program leaders in evidence-based decision‑making.
• Establish policies and standards for data collection, integration, quality, security, and usage.
• Foster innovation through advanced analytics, predictive modeling, and business intelligence initiatives.
• Data Management and Infrastructure
• Work with the Office of Information Technology (OIT) to oversee design, implementation, and maintenance of data systems, warehouses, and pipelines ensuring high data quality, reliability, and scalability.
• Follow-up with OIT to ensure appropriate tools and technologies support analytic and reporting needs.

• Support the development of analytic frameworks, dashboards, and models that provide actionable insights into organizational performance and outcomes.
• Supervise design and execution of analyses that support program evaluation, forecast trends, and identify opportunities for improvement.