Director, Data Analytics, Bureau of Data Technology & Strategy

About the role

The Center for Population Health Data Science (CPHDS) was launched in October 2023 with the goal of modernizing data to support public health, healthcare, and social service integration. The CPHDS aims to enhance data accessibility, timeliness, equity, usability, and protection to improve health outcomes for New Yorkers.

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 supporting 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.

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

Qualifications

• Professional/Vendor Certification(s) in database administration.
• A baccalaureate degree from an accredited college or university, and two years of satisfactory full-time (not classroom based) experience in database administration.
• A four-year high school diploma or its educational equivalent and six years of satisfactory full-time (not classroom based) information technology experience (IT) of which at least two years must have been database administration experience.
• A satisfactory equivalent of education and/or experience equivalent to "1" or "2" above.
• Undergraduate education may be substituted for experience on the basis that 30 undergraduate semester credits from an accredited college or university is equivalent to 6 months of information technology experience, but may not be substituted for the required database administration experience.
• A masters degree in computer science or a related field from an accredited college or university may substitute for one year of database administration experience.

Skills

• 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.

Pay

Commensurate with experience.

Schedule

TBD.