Director, Data Analytics, Bureau of Data Technology & Strategy

City of New YorkLong Island City, NY
Hybrid

About The Position

The Center for Population Health Data Science (CPHDS), launched in October 2023, aims to modernize data infrastructure and enable the agency to link public health, healthcare, and social service data for timely and effective publication. The goal is to make data more accessible, timely, equitable, meaningfully usable, and protected, and to use these insights to promote the health and wellbeing of New Yorkers. The CPHDS seeks to strengthen agency-wide data capabilities by empowering the workforce, enhancing data sharing, and utilizing modern technology for trusted, integrated data and insights. A real-time and comprehensive view of city needs is crucial for enhancing public health actions and improving health outcomes for vulnerable New Yorkers. The Bureau of Data Technology and Strategy (DTS) is responsible for the Enterprise Data Platform (EDP), encompassing data strategy, governance, product management, engineering, and science. The Data Engineering and Product Management Unit within DTS focuses on modernizing the agency's data infrastructure, including large-scale data collection, processing, and analysis for the EDP, which is a cloud-based repository, catalog, and analytics environment supporting public health analysis, program delivery, and decision-making.

Requirements

  • 5+ years of experience managing a data team, delegating tasks and conducting quality control.
  • 15+ years professional experience in analytics/analytical engineering using Python + SQL and with a heavy emphasis on transformation pipeline development and automation.
  • 15+ years experience designing, building, and maintaining data products such as dashboards, reports, machine learning models, unified data models, APIs, and curated datasets.
  • 10+ years experience using git for version control.
  • Strong data management, communication, and quality assurance skills
  • Demonstrated ability to operate effectively in ambiguous or rapidly evolving environments, including navigating competing priorities, working with incomplete requirements, and driving progress without formal process structures in place.
  • Experience producing analytic deliverables in a high-pressure environment.
  • Demonstrated ability to communicate technical concepts to non-technical audiences.
  • Experience with cloud data platforms (Databricks, Snowflake, or similar).
  • Experience with dbt Core or comparable transformation frameworks.
  • Experience with epidemiological or population health data and analyses.
  • Familiarity with data governance concepts such as role-based access control and familiarity with a metadata management tool like Unity Catalog.

Nice To Haves

  • Familiarity with Git Ops practices and CI/CD workflows via GitHub Actions for data pipelines.

Responsibilities

  • Lead and manage a team of analytics engineers and data analysts responsible for building upstream transformation pipelines for the EDP.
  • Design and execute an analytics services model that supports agency programs in using integrated EDP data for decision-making, surveillance, and reporting.
  • Build and maintain analytical data products for program teams, senior leadership, and Commissioner-level requests aligned with agency strategic priorities.
  • Develop and maintain analytics engineering practices including dbt Core transformation pipelines, data modeling standards, and code review processes.
  • Collaborate with the Director of Data Engineering on platform standards, shared transformation infrastructure, and analytics readiness of EDP data layers.
  • Coordinate with Applied Data Science unit on advanced analytical and machine learning use cases, contributing domain expertise and analytical framing.
  • Partner with Data Integration and Engagement Strategy unit on program engagement, emergency response analytical support, and joint data initiatives.
  • Partner with Unified Digital Experience (UDX) unit on user research and design for high-profile internal data products.
  • Coordinate with Data Governance unit on data quality standards, operational reporting/dashboards, and governance of analytical outputs.
  • Represent Data Analytics at internal leadership meetings and with external agency partners.
  • Support emergency response analytical needs as needed.

Benefits

  • premium-free health insurance plan
  • additional health, fitness, and financial benefits may be available based on the position’s associated union/benefit fund.
  • a public sector defined benefit pension plan with steady monthly payments in retirement.
  • a tax-deferred savings program
  • a robust Worksite Wellness Program that offers resources and opportunities to keep you healthy while serving New Yorkers.
  • Job Security
  • Work From Home Policy: Depending on your position, you may be able to work up to two days during the week from home.
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