Top Data Management Jobs in NYC, NY

The Business Manager will lead data transformation, develop business strategies, manage multiple projects, and communicate insights to senior leaders at Capital One.

Lead the Emerging Fraud team as a Senior Data Scientist, developing machine learning models to identify and neutralize fraud threats, leveraging a wide range of technologies.

Lead a data science team to optimize ad ranking and marketplace efficiency, develop data-driven strategies, and deliver actionable insights.

The Manager of Data Engineering and Analytics will lead data modeling initiatives, drive BI development, and foster cross-functional collaboration. This role involves oversight of data pipelines, team leadership, and continuous monitoring and documentation of the data ecosystem.

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

The Data Systems Manager will oversee data architecture, implement MDM strategies, ensure data quality, and drive governance initiatives to support business intelligence.

Manage program governance and oversee multiple consulting engagements. Develop project plans, ensure timely delivery, and maintain client relationships. Foster business development through understanding client needs and supporting proposal development.

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 and mentor a team of data analysts, drive data analytics strategy, ensure data quality and governance, and deliver actionable insights across business functions.

Manage data and analytics projects, align client data strategies, facilitate cloud data migration, and coach team members while ensuring business objectives are met.

The Data Manager will support partners by addressing data needs, managing issues, and implementing best practices for effective data use in civic engagement campaigns.

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.

The Data Operations Manager will lead a team of Data and Software Engineers, optimizing data infrastructure for business intelligence and analytics while ensuring data reliability and accessibility across the organization.

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

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 Data Management team to build and operate scalable data systems, ensuring data quality and governance while influencing engineering roadmaps and fostering team growth.

The Senior Business Manager will lead a team of business analysts, driving data transformation initiatives, improving data usage, and collaborating with product teams to enhance business value.

As an Executive Director - Control Manager for Data & Analytics, oversee risk management, ensure compliance with regulations, and manage product change initiatives.

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.

Oversee clinical data management for global trials, ensuring quality and compliance. Lead teams, manage timelines, and mentor junior staff.

The Data & Operations Reporting Manager provides strategic oversight for reporting tools, ensures report accuracy, engages stakeholders, manages data supply chain, and oversees solution implementation.

The Data Quality Associate Manager analyzes data quality, implements cleansing strategies, resolves issues, prepares reports, and mentors team members.

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++.

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