Top Data Management Jobs

The Data Manager oversees data delivery and management, collaborates with business and tech teams to ensure compliance, monitors performance, and leads data-related projects.

Oversee data management practices, develop complex data systems, conduct compliance audits, and coordinate with stakeholders at NIH.

Drive cloud architecture optimization through data insights, manage costs and partnerships, and create actionable reports using Agile methodology.

The Associate Director will oversee data partnerships at Novartis, ensuring compliance, quality, and effective use of data assets while collaborating with teams and vendors.

Drive strategy and execution for data integrity across the firm's global ecosystem, ensuring data accuracy and governance to support decision-making.

The Data Manager organizes and coordinates data management programs for the Navy, reporting findings and recommendations, and supporting shipbuilding acquisition.

Lead strategic data solutions for the Commercial & Investment Bank, managing stakeholder relationships and overseeing core data initiatives for high-profile programs.

The Manager, Data Management & Governance will establish data management frameworks and ensure regulatory compliance across the organization. Responsibilities include developing governance strategies, policies, staff training, and implementing technology solutions for data governance.

The Principal Data Analyst will innovate and manage data solutions, perform analysis for business insights, and ensure data quality management.

The Magnet Program Specialist analyzes data for the Magnet Program, ensuring data accuracy and performance, providing insights for program improvements, and generating reports related to Nurse Sensitive Indicators.

The Manager of Master Data Management will lead data quality, governance, and integrity initiatives, optimize processes, and guide the MDM team to ensure effective data management and compliance. This role requires collaboration across departments and expertise in data analysis and MDM tools.

The Data Entry Specialist is responsible for labeling images, data cleaning, and ensuring data accuracy while collaborating with the team.

Responsible for the development, implementation, and maintenance of EPM applications, including reporting and financial consolidation solutions, while collaborating with cross-functional teams.

Support the implementation of Data Risk Management policies, manage project plans, communicate with stakeholders, and drive operational improvements in Risk Management.

The Business System Specialist will manage LIMS master data, provide end-user support, ensure compliance, and assist in process development for lab data management.

The Data Syndication Specialist ensures the integrity and publication of product data via GDSN, assisting with data management tasks and cross-functional collaboration.

The Data Scientist will design and implement machine learning algorithms, analyze datasets, communicate findings, and meet mission requirements using technical expertise.

The Sr Analyst for Data Management is responsible for driving data governance, managing metadata, ensuring data quality, collaborating with stakeholders, and developing data steward capabilities.

As a Sr. Risk Manager in Data Risk Management, you'll enhance data risk posture through assessments, embed practices, and influence technology teams.

As a Technology Strategy Analyst, you will advise clients on digital technology, manage client expectations, compile research, and develop consulting deliverables.

The Data Analyst will conduct full lifecycle analysis, develop reporting capabilities, monitor performance, and identify improvements in data quality and efficiency.

The role involves developing a comprehensive data governance strategy, ensuring data quality, security, and compliance, while leading cross-functional data initiatives.

The Data Scientist will develop strategies to extract insights from large datasets, implement data analysis methods, and communicate findings to both technical and non-technical audiences, requiring advanced knowledge in various data and statistical methodologies.

Lead the Master Data Management upgrade project from version 10.1 to 11.4, ensuring effective implementation and system integration.

The Data Scientist will develop strategies for data analysis, model implementation, and communicate findings effectively while ensuring compliance with security clearance requirements.