Top Senior Data Management Jobs in NYC, NY

The Data Manager will maintain data integrity in HubSpot, optimize data workflows, generate reports, and enforce data governance. Responsibilities include managing integrations and supporting ad hoc analysis for cross-functional teams, requiring strong analytical skills and startup experience.

Lead and deliver data-driven commercial analytics projects for life sciences clients, design/implement data platform and ETL solutions, analyze data and present insights, manage client relationships and project teams, mentor junior staff, and contribute to business development and internal data warehouse initiatives.

Lead data platform strategy and architecture, scale Spark-based ETL/ELT pipelines, improve reliability and cost efficiency in an AWS environment, strengthen governance and lineage, modernize ingestion (Fivetran), and mentor engineers while delivering production-grade data solutions for analytics and AI.

Lead measurement and experimentation for performance media accounts: design and validate statistically rigorous marketing tests, build reusable test frameworks, audit measurement work, perform spend optimization and regression analyses, partner with data engineering and media teams, and deliver executive-level insights to influence media investment decisions.

Serve as the primary data partner to fundraising and marketing, building production-grade data models, defining KPIs, creating automated data products, delivering revenue forecasts and donor cohort analyses, and translating insights to drive acquisition, retention, and revenue growth.

The Manager of Data Engineering will lead the data engineering team, oversee data pipeline design and implementation, manage data governance, and ensure data quality while driving team professional growth.

The Analytics Manager will lead the analytics team, optimize data processes, manage KPIs, and create data visualizations to influence business decisions.

The Data Manager will execute analytics, manage data sourcing and dashboards, streamline reporting, and provide insights for business improvement and performance measurement.

Manage and develop a team of Data Analysts, oversee analytics deliverables, partner with cross-functional teams to deliver insights, and implement BI tools.

Manage a team of ~7 data scientists to deliver experimental design, product analytics, and actionable insights. Partner with product, engineering, and research to build measurement, data products, and reporting; ensure data accuracy, timely delivery, and best practices.

Lead a team of ~7 data scientists to deliver accurate product analytics and experimentation insights. Manage people, mentor staff, partner with product and engineering to build accessible data products, and improve measurement, reporting, and experiment practices to inform product decisions.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights. Manage people, partner with product and engineering, improve measurement and data products, and ensure rigorous large-scale analysis to inform product decisions.

Lead a Product Analytics data science team to deliver timely, accurate insights for product decisions. Manage ~7 data scientists, mentor teammates, partner with product and engineering, develop experimentation and measurement best practices, and build accessible data products and reports.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experiments; support product teams, build accessible data products, mentor staff, and improve measurement and reporting practices.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics: guide experimentation, partner with product and engineering, build accessible data products, mentor staff, and improve measurement and reporting practices to inform product decisions.

Lead a team of product analytics data scientists to deliver timely, accurate quantitative insights for product strategy, experimentation, and measurement. Manage people, mentor staff, partner with product and engineering to build accessible data products, and improve experimentation and reporting practices to inform decisions across the Foundation and movement.

Lead scaling of a commercial channel data management platform for oncology/hematology. Manage vendor and data provider relationships, design data pipelines and governance, improve data quality, oversee data aggregation and provisioning for commercial insights, and ensure compliance, security, and documentation.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights; manage people, mentor staff, partner with product and engineering, and build accessible data products and measurement practices.

The Assistant Manager will lead data governance and analytics, manage the Data Warehouse systems, ensure data security, and develop policies for data management and compliance.

The Assistant Manager will lead data governance and analytics initiatives, overseeing the data warehouse infrastructure, analytics processes, and ensuring compliance and quality in data management.

The Manager of Data Analytics will convert data into actionable insights for Product, Marketing, Content, and Finance teams, balancing speed and accuracy while collaborating with stakeholders.