Top Data Management Jobs in NYC, NY

Manage the design, development, and deployment of AI and data-driven solutions. Collaborate across teams to build machine learning models and improve customer success using data insights.

Lead and manage data analysis projects at Pfizer, utilizing strong communication and analytical skills to improve processes and guide operational teams.

Oversee data operations, manage a team of engineers, improve processes, ensure data delivery efficiency, and collaborate with stakeholders.

Lead the Marketing Segmentation team, providing strategic guidance and implementing data-driven marketing practices with a focus on automation and data governance.

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

Manage and enhance Salesforce as the primary administrator, ensuring accurate data operations, reporting, and collaboration across Finance, Sales, and Marketing to support strategic decisions and scalable growth.

Manage data systems for analytics and reporting, optimize data infrastructure, ensure data accuracy, and interface with external data tools to drive insights for music marketing strategies.

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.

Manage data processes and systems, improve data governance, lead data quality initiatives, and support data-driven risk measurement and reporting at Bank of America.

The Data Science Manager will oversee data science solutions, manage a data scientist, implement predictive models, and ensure data security.

Lead a team in developing data pipelines and analytics products, manage operations, and ensure data integrity, aligning with business needs.

Lead and develop a team of analysts in delivering high-quality data management and visualization. Utilize BI tools and manage data workflows effectively.

The Data Analytics Manager Consultant will provide data reporting, troubleshoot discrepancies, enhance automation, and lead analytic solutions for the business.

The Environmental Data Manager will oversee environmental data management, including ETL operations, data validation, and compliance for environmental projects. Responsibilities include data entry and interactions with various personnel to ensure data quality and regulatory adherence.

The role involves managing the Data Management & Visualization team, focusing on automation tools and products, SQL programming, and team mentoring.

Manage automation development efforts for data management and visualization. Collaborate with teams to enhance processes, design buildouts, and train stakeholders. Required skills include SQL and Excel proficiency, along with programming in Python or C++.

As Data Analytics Manager, you'll lead analytics initiatives driving business decisions, mentor a team, and enable self-service reporting through tools like Power BI.

The role involves leading enterprise reporting and analytics by driving alignment, managing data flows, delivering predictive insights, and assessing business needs for strategic decisions.

The Fundraising Data Manager will manage data processing for clients, develop custom SQL scripts, create reports, and manage client CRM.

Oversee the enterprise data hub, manage data governance strategies, implement best practices for data modeling, deliver GTM-ready data, and lead a team of data engineers to leverage AI and advanced analytics for business impact.

The Manager, Data Stewardship leads a team to ensure high-quality, well-defined business data in line with governance standards, focusing on metadata and data quality management.

Lead a team in data management, delivering reports and dashboards, overseeing analytics initiatives, and ensuring data quality for decision-making.

The Data Analytics Manager analyzes complex datasets for private equity and corporate clients, providing insights for transactions, guiding due diligence, and mentoring junior team members.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.