Top Senior Data Management Jobs in NYC, NY

As a Data Office Manager, manage data strategy in the healthcare landscape, collaborate with teams and stakeholders, and oversee project management while leading a diverse team.

Lead the development of product analytics at Fora, managing a small team, collaborating with product management, engineering, and design to define success metrics and influence decision-making.

Manage projects and teams to leverage data and technology in M&A, driving strategic insights and improving deal decisions through advanced analytics and AI.

Lead the People Analytics team to develop data tools for decision making, manage data governance, and collaborate with diverse teams for effective people data usage.

The Tag Manager will oversee and optimize Rula's tagging ecosystem, ensuring accurate data capture and collaborating cross-functionally to enhance analytics capabilities and data trust.

The role involves managing a team of data scientists to create generative AI solutions and build machine learning models using large datasets, while collaborating with cross-functional teams.

Lead a team of data scientists to develop marketing mix and attribution models, providing insights on marketing performance and optimizing investments across products and channels.

Lead insights and data science strategies for the Payer Group at Headway, driving analytics to improve patient outcomes and collaborating with multiple stakeholders.

Lead architect for Compliance data at Coinbase, defining data governance frameworks, designing data contracts, mapping data lineage, and quantifying data impact to enhance compliance reporting and data quality processes.

The role involves leading a team to develop AI and ML solutions, manage customer interactions, and analyze large data sets using various technologies.

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.

Owner of AI-driven automation and reporting for Finance. Design and deploy AI workflows, scripting, and dashboards to automate revenue, billing, AR, cash flow, and reconciliations across multiple data sources while ensuring controls, auditability, and cross-functional alignment.

Manage Unity Audience Hub lifecycle: integrate and model first-party data, build audience segments, support sales with measurement and insights, run clean-room collaborations, and drive cross-platform campaign measurement and reporting.

Lead and grow the Product Analytics Engineering team to build scalable data pipelines, models, and marts. Partner with Product, Data Science, and Engineering to deliver reliable product metrics, SLAs, and self-serve analytics, while mentoring engineers and setting technical strategy for product data foundations.

The Senior Manager, Data Engineering leads data architecture and pipeline initiatives, collaborating with teams to deliver reliable and scalable data solutions. Responsibilities include overseeing data quality, establishing best practices, and influencing technical direction without formal authority.

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.

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.

The role manages GCIB's data domain, ensuring regulatory compliance and operational excellence through stakeholder collaboration and strategic execution.

Lead analytics engineering for finance data, delivering governed models and reporting solutions, improving data quality and controls, and partnering with multiple stakeholders.

The role involves managing advanced data analytics in strategic finance, including building data models, ensuring governance, and presenting insights to clients.

Lead AML transaction monitoring compliance, oversee data governance, and participate in business strategy. Apply analytics and build dashboards to translate risks into metrics.

The Sr. Manager Data Engineering & Analytics will define data strategy, build scalable data platforms, and lead a multidisciplinary data team to enhance data quality and governance.

Lead data collection, cleaning, and platform management across ad/retail data systems. Analyze commerce data to surface trends and recommendations, build dashboards and reports, and collaborate with cross-functional teams and client stakeholders to support data-driven decisions and case studies.

The role involves leading a team to define and implement newsroom audience data strategy, ensuring data-driven insights inform editorial decisions and overseeing analytics development.

Lead a team of Data Scientists and Analysts, developing AI and data-driven solutions, driving analytics insights, and fostering collaboration across teams.