Top Senior Data Management Jobs in Boston, MA

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 the People Analytics team to develop data tools for decision making, manage data governance, and collaborate with diverse teams for effective people data usage.

Manager of Data Platform Engineering responsible for ensuring data reliability, leading a data engineering team, setting platform standards, and collaborating with internal stakeholders to enhance data capabilities.

Lead and manage a team of data engineers, oversee data warehouses and pipelines, ensure scalable data architecture, and foster partnerships with data analysts and scientists.

The role involves managing advanced data analytics in strategic finance, including building data models, ensuring governance, and presenting insights to clients.

Manage data governance and Master Data Management, ensuring data quality and oversight. Collaborate with stakeholders and IT on data architecture and strategy.

The role involves overseeing data assets, ensuring data quality for analytics, implementing governance processes, and collaborating to meet business data needs in market access.

The Senior Data Manager is responsible for acquiring, cleaning, and managing datasets, developing data architectures, and ensuring data accessibility for business analysis and reporting.

The Senior Manager RBQM Data Analyst oversees centralized monitoring activities for clinical trials, utilizing data analysis tools to assess risks and operational performance, while leading process improvements and training junior staff.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.

The Data Manager will own data strategy, management, and governance, ensuring data quality and integration across various scientific datasets whilst collaborating with multiple teams.

Lead clinical data management for studies, oversee CROs, ensure data quality, coordinate data review, and assist in clinical system implementations.

Lead a team of Data Scientists, Analytics Engineers, and Data Engineers to drive messaging strategies through analytics and data science, ensuring collaboration across various business domains.

The Senior Data Manager will design, configure, and launch clinical trials on Citrus while managing data quality and collaborating with product teams and stakeholders.

Lead finance data architecture initiatives, overseeing a team that designs data models for financial planning and reporting to support global enterprise goals.

The Data Manager oversees all data management activities for clinical studies, ensuring data integrity and quality compliance while mentoring others and leading process improvements.

Lead and mentor a Data Engineering team, manage data operations, ensure compliance with HIPAA, and design scalable ETL pipelines while collaborating across departments.

The Senior Manager, Data Science & Analytics will lead a team to drive analytics and experimentation strategies for Yahoo Mail's growth and monetization, engaging with product, finance, and marketing to transform data insights into actionable strategies for success.

Manage a team of analysts while analyzing data, reporting, and enabling AI/ML model deployment. Provide insights and automate processes.

Manage a team of data scientists to develop fraud detection models, mentor staff, and collaborate with leadership on solutions and product development.

Lead and scale the data analytics function, manage a distributed analytics team, deliver actionable insights, and oversee analytics projects.

The Manager of Data Analytics Engineering will lead a team of engineers, manage data pipelines migration, collaborate with project managers, and mentor staff while fostering growth in a data-driven environment.

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.