Top Senior Data Management Jobs

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.

Manage Unity Audience Hub lifecycle: integrate and model first-party data, build audience segments, support sales with measurement and insights, run clean-room collaborations, and drive cross-platform campaign measurement and reporting.

The Senior Manager leads modernization of data engineering capabilities, ensuring reliable and scalable data systems while managing a team of data engineers to deliver impactful data products.

Lead scaling of a commercial channel data management platform for oncology/hematology. Manage vendor and data provider relationships, design data pipelines and governance, improve data quality, oversee data aggregation and provisioning for commercial insights, and ensure compliance, security, and documentation.

The Director/Sr. Director, Data Product Manager leads data product strategy for the insurance domain, ensuring alignment with business goals while overseeing a team of Data Product Leads.

The Senior Analyst will lead empirical research and analytics, design datasets, present insights to clients, and collaborate across teams in healthcare analytics.

The Manager, Data Science will lead marketing analytics efforts, analyze marketing effectiveness, build models for investment strategies, and collaborate across teams to provide actionable insights.

Lead measurement and experimentation for performance media accounts: design and validate statistically rigorous marketing tests, build reusable test frameworks, audit measurement work, perform spend optimization and regression analyses, partner with data engineering and media teams, and deliver executive-level insights to influence media investment decisions.

Manage the Performance Marketing analytics team, define measurement strategies, analyze data leveraging statistical techniques, and collaborate with stakeholders to improve decision-making for eCommerce initiatives.

The Sr. Data Management Manager oversees data management activities for omnichannel marketing, ensuring compliance, architecture, and support for data initiatives across commercial brands, collaborating with cross-functional teams to drive data solutions and improvements.

The role manages GCIB's data domain, ensuring regulatory compliance and operational excellence through stakeholder collaboration and strategic execution.

Serve as the primary data partner to fundraising and marketing, building production-grade data models, defining KPIs, creating automated data products, delivering revenue forecasts and donor cohort analyses, and translating insights to drive acquisition, retention, and revenue growth.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights; manage people, mentor staff, partner with product and engineering, and build accessible data products and measurement practices.

The Manager of Data Governance leads data management standards, collaborates with teams on data governance implementation, and oversees data quality initiatives to enhance business operations.

Lead and manage a team of data engineers to enhance AWS-based Cloud Data Platforms, ensuring high availability and reliability while supporting MedTech Surgery products.

Lead the Data Engineering team at Docker, focusing on strategic data analytics and platform evolution to enhance product innovation and customer insights.

Lead design and delivery of Microsoft Fabric-based data pipelines, Lakehouse data models, and ETL in Python. Partner with Finance to translate requirements, ensure data quality, enforce engineering standards, mentor engineers, and produce analytics and reporting (Power BI/Databricks) to support forecasting and profitability analysis.

Lead design and implementation of data architecture and scalable pipelines (Snowflake, ETL/ELT), enforce data governance and controls, manage secure SFTP transfers, coordinate cross-functional projects, perform data modeling, resolve technical issues, and support integrations with EPM tools like Workday Adaptive Planning. Travel up to 5%.

As the Data Insights & Analytics Manager, you will lead analytics projects, collaborate with stakeholders, and define KPIs while overseeing data reporting and insights to drive business decisions.

Lead AML transaction monitoring compliance, oversee data governance, and participate in business strategy. Apply analytics and build dashboards to translate risks into metrics.

Lead a data science team to develop insights from autonomous vehicle data, create scalable platforms for data access, and collaborate with cross-functional teams on performance measures.