Top Remote Data Management Jobs

The Senior Manager of Data Acquisition & Implementation will lead data acquisition initiatives, manage vendor partnerships, ensure data quality, and drive compliance. This role involves overseeing data integration processes, collaborating with cross-functional teams, and promoting best practices in data management.

Lead a team of data analysts, ensuring accurate reporting, data integration, and analytics presentations while collaborating with agency partners.

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 Associate BTO Project Manager oversees project execution in data governance, coordinates cross-functional teams, enhances data quality, and drives continuous improvement initiatives.

As Senior Manager of IT Commercial Data Management, you will lead data initiatives, manage product ownership, and develop data governance strategies in collaboration with stakeholders, ensuring high data quality and analytics capabilities.

Manage compliance data architecture, quality, and reporting; oversee process optimization and digital tools. Lead teams and collaborate with stakeholders for compliance initiatives.

Lead and expand Data Acquisition teams, building and maintaining data pipelines and services for healthcare while collaborating with product management and engineering teams.

Lead and manage data engineering teams to design, build, and maintain high-quality data pipelines. Oversee automation, performance scripting, data modeling, database optimization, and quality-control processes. Collaborate with product, engineering, and operations to deliver data-driven features and support SEC-related data needs and AI/LLM integrations.

The Manager of Customer Insights & Data Analytics analyzes customer usage data, identifies opportunities, improves data infrastructure, and communicates actionable insights to stakeholders to drive business performance.

The Manager of Data Engineering will lead the data engineering team, oversee data pipeline design and implementation, manage data governance, and ensure data quality while driving team professional growth.

The Analytics Manager will lead the analytics team, optimize data processes, manage KPIs, and create data visualizations to influence business decisions.

The Data Manager will execute analytics, manage data sourcing and dashboards, streamline reporting, and provide insights for business improvement and performance measurement.

The Manager, Data Analytics & Strategy will lead data projects, design measurement frameworks, and provide actionable insights to shape client outcomes by applying advanced data analysis techniques and overseeing the development of client-facing deliverables.

Manage and develop a team of Data Analysts, oversee analytics deliverables, partner with cross-functional teams to deliver insights, and implement BI tools.

Lead projects to enhance customer experience, oversee data operations, and implement marketing strategies while analyzing market needs and insights.

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

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.

Manage and mentor a team of data scientists and engineers, guide development and delivery of ML/AI solutions, ensure best practices, collaborate with stakeholders, and align data science work with business objectives.

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.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics: guide experimentation, partner with product and engineering, build accessible data products, mentor staff, and improve measurement and reporting practices to inform product decisions.

Lead a team of product analytics data scientists to deliver timely, accurate quantitative insights for product strategy, experimentation, and measurement. Manage people, mentor staff, partner with product and engineering to build accessible data products, and improve experimentation and reporting practices to inform decisions across the Foundation and movement.