Top Tech Jobs & Startup Jobs in NYC, NY

Ensure DOHMH compliance with NYC Open Data Law by coordinating publication of public health datasets to the City Open Data portal. Engage stakeholders, liaise with IT, legal, communications, and OTI, prepare and review data and metadata, ensure confidentiality and machine-readable formatting, automate updates with IT, maintain governance tracking and documentation, respond to public inquiries, and support data governance operations and data use agreement processes.

Provide customer service and case navigation for birth and death certificate amendments across in-person, mail, phone, and online channels. Review and process applications for completeness and compliance, research records, resolve discrepancies, support financial reconciliation and QA, document interactions, and assist with process improvements and system testing. Maintain confidentiality, support lobby operations, and work non-business hours during emergencies as needed.

Provide customer-facing case navigation and administrative support for vital records services, reviewing applications, processing documents, managing records retrieval, supporting burial desk inquiries, tracking escalations, ensuring records confidentiality, and contributing to records modernization and process improvement efforts.

Lead Salesforce-focused systems analysis and implementation for partner management and performance applications. Translate public health workflows into technical requirements, coordinate stakeholder meetings, configure Salesforce features, develop reports/dashboards, manage data quality, and support rapid deployment of high-priority initiatives.

Edit and proofread agency materials for clarity, accuracy, and accessibility; enforce plain language and inclusive framing; copyedit citations in AMA Style; collaborate with Creative Communications and support emergency communications as needed.

Develop, maintain, and migrate BI reports, dashboards, and data models using Power BI, Tableau, and SSRS. Perform data analysis, validation, SQL development, and unit testing. Collaborate with HR stakeholders to gather requirements, document designs, manage support/triage, and deliver scalable analytics solutions and documentation.

Maintain and modernize data science infrastructure and integrations for the Enterprise Data Platform. Support cloud migrations to Azure, build automated ETL/data lake pipelines, design scalable hybrid architectures, and develop, test, deploy, and document statistical and machine learning models. Serve as liaison across IT, developers, and leadership to ensure secure access, platform standards, and adoption of best practices.