Data Visualization Lead, Bureau of Data Technology & Strategy

City of New York • Long Island City, NY

2d • Hybrid

About The Position

The Center for Population Health Data Science (CPHDS), launched in October 2023, works to advance data modernization and enable the agency to link public health, healthcare, and social service data for timely and effective publication. Its goals include making data more accessible, timely, equitable, meaningfully usable, and protected, while strengthening agencywide data capabilities and supporting public health action and improved health outcomes for New Yorkers.

The Bureau of Data Technology and Strategy (DTS) houses data strategy, data communication, data governance, data product management, data engineering, and data science capabilities. Within DTS, the Unified Data Experience (UDX) team is modernizing how the agency communicates data to the public, with a focus on usability, accessibility, and approachability of public-facing data products.

The Data Visualization Lead will lead and mentor analysts, oversee the lifecycle of data solutions, develop data pipelines, and create and maintain dashboards. The role guides both human-centered front-end design and scalable back-end architecture; coordinates with IT and data providers; establishes analytical frameworks and data quality practices; leads cross-functional analytics projects; and supports the adoption of advanced analytics and visualization strategies. The position also promotes continuous learning and team growth in modern data tools.

Requirements

• For City Research Scientist Assignment Level I in the listed fields, a master's degree from an accredited college or university specializing in an appropriate field of physical, biological, or environmental science, or public health.
• For appointment to Assignment Level II and above, the posting specifies one of the following: a relevant doctorate and one year of responsible supervisory, administrative, or research experience; a relevant master's degree and three years of responsible full-time research experience; or equivalent education and/or experience.
• Candidates qualifying for Assignment Level II and above through the stated education-and-experience criteria must have at least a master's degree in an appropriate field and at least two years of the described experience. Two years as a City Research Scientist Level I may substitute for the experience required under the doctorate or master's pathways.
• Experience as a Data Visualization Lead, BI Developer, or in a related role focused on dashboard development and data storytelling.
• Expertise in data visualization tools such as Tableau, Power BI, Datawrapper, R, Python, and SAS.
• Strong understanding of data architecture, dashboard design principles, and user-centered design.
• Hands-on experience with Azure Data Factory, Databricks, and dbt.
• Ability to design and implement scalable data pipelines for real-time and batch analytics.
• Familiarity with SQL and cloud-based data environments such as Azure Synapse and Data Lake.
• Experience establishing visualization standards, quality assurance processes, and governance protocols.
• Knowledge of best practices in data integrity, security, automation, and workflow optimization.
• Strong leadership and mentoring skills, including the ability to guide cross-functional analytics teams.
• Excellent communication skills and ability to translate complex data into accessible visual insights for diverse stakeholders.

Nice To Haves

• Experience with Power BI.
• Familiarity with Azure Synapse and Data Lake.

Responsibilities

• Lead and mentor a team of analysts focused on turning raw data into actionable insights.
• Oversee the full lifecycle of data solution development, emphasizing 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 such as Tableau, Datawrapper, 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 intuitive, human-centered front-end design and scalable, structured back-end architecture.
• Lead cross-functional analytics initiatives and manage complex data projects.
• Provide quality assurance and continuously expand team capability in visualization best practices.
• Promote continuous learning and provide training and growth opportunities in modern data tools.

Benefits

• Premium-free health insurance plan; the posting states this saves employees over $10,000 annually, based on a 2024 assessment.
• Additional health, fitness, and financial benefits may be available depending on the position’s associated union or benefit fund.
• Public-sector defined benefit pension plan with steady monthly payments in retirement.
• Tax-deferred savings program.
• Worksite Wellness Program with health resources and opportunities.
• Depending on the position, the ability to work from home up to two days during the week.
• Job security compared with private-sector employment.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior