Top Remote Data Management Jobs in NYC, NY

Manage Finance-focused data products, collaborating with teams to define requirements and drive delivery for financial analysis and reporting.

The Senior Data Analytics & Insights Manager drives the development and delivery of scalable data products for GTM decision-making, engaging with stakeholders to create insightful dashboards and metrics through Tableau and BI governance.

Lead the data engineering team, develop and maintain data models and pipelines for risk domains, and manage data quality and governance.

Manage SoFi's enterprise TPRM platforms, optimizing workflows, delivering data analytics reports and dashboards, and enhancing risk intelligence for decision-making.

Lead and manage a team of data engineers to develop and maintain data pipelines and warehouses, ensuring data quality and adherence to best practices.

Lead a team of data and infrastructure engineers to develop cloud-based data systems and solutions for analytics, ensuring best practices in data management and MLOps.

The role involves managing Data Success Managers, overseeing data operations, supporting partners, and improving team workflows to deliver quality service.

The Manager of Solution Consulting leads pre-sales engagements for Veeva Data Cloud, focusing on data consulting and client relationship management, while contributing to product strategy and project management.

The Data Entry Manager oversees remote staff, ensures data accuracy, manages operations, implements process improvements, and handles reporting and analytics in a fast-paced environment.

The Manager, Data Success Management oversees Data Success Managers, manages data operations, supports partners, improves workflows, and ensures data quality.

The Data Success Manager will source, collect, and manage data for partners, ensure data quality, and support campaign activity, requiring SQL and Python skills.

The Product Manager for HR Data & People Analytics will lead analytics strategy, data governance, and implement predictive analytics while collaborating with HR leaders to enhance workforce insights.

Manage a team of analysts for PBM analytics, driving insights and scalable data products. Partner with business leaders for effective reporting and analysis.

Lead data management for complex global clinical trials, ensuring quality and compliance while mentoring staff and driving process improvements.

The Data Insights Manager will design data pipelines, analyze large datasets, and collaborate across teams to provide actionable analytics for healthcare advertising.

The role involves driving product strategy for data infrastructure, leading cross-functional teams, and implementing MLOps practices for data engineering solutions.

The Senior Manager, Data Steward (AI) will lead data stewardship initiatives in Pharma R&D, ensuring data quality and governance while mentoring a team and collaborating across departments to enhance data usability for insights and compliance.

Lead the creation of analytics strategies, manage data pipelines and reporting solutions, and mentor data professionals while ensuring data usability and quality across the organization.

The role involves leading the data governance team, managing IT projects, collaborating with stakeholders, and ensuring continuous improvement of processes. Responsibilities include strategic planning, client management, and optimizing resource utilization, while overseeing governance activities and departmental management.

The Clinical Data Manager will manage research databases, oversee EHR to EDC automation, ensure data quality, and perform statistical analyses.

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.