The Center for Population Health Data Science (CPHDS)- launched in October of 2023- aims to catalyze critical data modernization work and enable the agency to make progress toward linking public health, healthcare, and social service for timely and effective publication. We are working towards making these data more accessible, timely, equitable, meaningfully usable, and protected – and actively used to protect and promote the health and wellbeing of New Yorkers. We aim to strengthen agencywide data capabilities by empowering our workforce, enhancing intra- and inter-agency data sharing, and using modern technology to yield trusted and integrated data and insights. A real-time and comprehensive view of city needs is needed to enhance public health actions and improve health outcomes for the most vulnerable New Yorkers. The CPHDS is working to strengthen citywide population health surveillance by be ter linking public health, healthcare, and social service data to fully characterize and improve the health of New Yorkers. Our vision is for these data to be accessible, timely, equitable, meaningfully usable, and protected in order to protect and promote health and wellbeing of New Yorkers. The Bureau of Data Technology and Strategy (DTS) is home to data strategy, data communication, data governance, data product management, data engineering, and data science capabilities. The Unified Data Experience (UDX) team is working to modernize how the agency communicates data to the public, ensuring usability, accessibility, and approachability of al public-facing data communication products.
DUTIES WILL INCLUDE BUT NOT BE LIMITED TO:
- Lead and mentor a team of analysts focused on converting raw data into actionable insights.
- Oversee the entire lifecycle of data solution development with an emphasis on quality and stakeholder satisfaction.
- Develop and refine data pipelines using Azure Data Factory, Databricks, and dbt.
- Integrate data pipelines into the organization’s cloud infrastructure.
- Create and maintain dashboards using tools like Tableau, Data Wrapper, R, Python, SAS, and SQL.
- Coordinate with IT and manage partnerships with data providers.
- Establish analytical frameworks and ensure data integrity across platforms.
- Drive organizational adoption of advanced analytics and visualization strategies.
- Guide both front-end design (intuitive, human-centered) and back-end architecture (scalable, structured).
- Lead cross-functional analytics initiatives and manage complex data projects.
- Provide quality assurance and continuously expand team capability in visualization best practices.
- Champion a culture of continuous learning, offering training and growth in modern data tools.
PREFERRED SKILLS:
- Proven experi