Top Hybrid Data Management Jobs in New York City, NY

As a Senior Associate in Data and Analytics, you'll assist organizations in enhancing their business results through data insights. You'll leverage various technologies to improve operational efficiency, implement data management solutions, and navigate complex business challenges. The role requires a blend of leadership skills, critical thinking, and technical knowledge in data analytics and modeling.

The Manager for Data Strategy and Data Office will lead initiatives in healthcare data management and client partnerships, ensuring effective data solutions and capabilities development while overseeing a multifaceted team and maintaining compliance standards.

The Director of Data Engineering at Hinge will lead and advance the data engineering discipline, ensuring high-quality data pipelines and products for analytics and machine learning. Responsibilities include shaping data strategy, collaborating with cross-functional teams, mentoring engineers, and driving data-driven innovation while maintaining system reliability and scalability.

As a Lead Data Architect at JPMorgan Chase, you'll engage with technical teams to develop innovative data architecture solutions. Responsibilities include defining target architecture, participating in governance, executing secure code, and driving technical evaluations. You'll contribute to improving operational stability and lead architectural communities of practice.

The Manager of Data Engineering will lead a team of six data engineers, oversee the development of Canoe's data platform, manage project timelines, and drive team success while fostering a collaborative culture and delivering innovative data-driven solutions.

As the Analytics Manager for Growth & Marketing, you will develop user acquisition strategies, collaborate across teams to enhance user engagement, create executive-level performance narratives, and mentor a direct report. Your role focuses on data-driven decision-making to optimize marketing efforts and improve retention rates for a financial health company.

As a Machine Learning Modeler at Block, you will design and implement machine learning models aimed at preventing fraud and risk identification. You'll collaborate with cross-functional teams to ensure compliance with regulations and optimize product offerings while monitoring the effectiveness of risk mitigation strategies.