Top Data Management Jobs

The Senior Manager oversees data governance, ensures data quality, manages data lifecycle, collaborates across teams, and leads a data stewardship team.

Lead AI-driven automation strategies to enhance data management and operational productivity, mentor teams, and analyze data trends for decision-making.

Provide data advisory services to client teams, maintaining expertise in healthcare data, managing data partnerships, and supporting data strategy projects.

The Lead Data Analyst role involves analyzing large data sets, integrating data systems, and providing insights to drive business strategy and decisions.

The Data Strategy Manager will lead projects to deliver data strategy solutions in Life Sciences, manage client relationships, and mentor team members.

The Research Specialist will assist with data entry, identify data sources, and support internal projects while working collaboratively with the research team.

Responsible for designing, developing, testing, and maintaining McDonald's restaurant software, ensuring data quality and collaborating with marketing and data teams for campaign initiatives.

The Data Governance Lead will establish and implement data governance strategies, lead cross-functional partnerships, and ensure data quality and best practices across the organization.

Manage the design and development of Contact Center AI solutions, mentor staff, manage client relationships, and execute strategic plans.

The Principal Data Analyst leads data initiatives and provides strategic insights through analytics, ensuring regulatory compliance and data integrity. Responsibilities include collaboration, mentorship, and process improvement to address data issues.

As a Vice President Data Owner Lead, you'll manage data governance, support analytics initiatives, and coordinate with partners to ensure data quality for business operations.

The Lead Software Engineer will design, develop, and enhance software solutions, mentor junior engineers, manage technical debt, and collaborate with teams to meet business needs.

As a Senior Associate, you will lead the development of testing methodologies, oversee quality assurance, and mentor junior team members while building client relationships and managing test delivery.

The Director Vx Data Product Management leads data management and analytics strategy for US Vaccines, overseeing a team to enhance data quality and enable analytics-driven decisions.

As a Senior Data Analyst, collaborate with business and tech partners to implement a Data Warehouse, execute complex SQL analyses, and support data sourcing strategies.

The Project Specialist will assist in various research tasks including data collection, statistical analysis, project management, and reporting within the MS research team.

Lead the implementation of data strategies within the IA department to optimize data usage and drive innovation, ensuring quality and integration of data processes.

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

The Manager, Data & AI Strategy will oversee data and AI strategies at Mastercard, collaborating with various teams to innovate and implement data solutions while ensuring compliance with policies.

Drive the data governance program at Bank of America, ensuring compliance and robust oversight while partnering with various stakeholders to manage data effectively.

Lead technical performance and analysis for the Navy weapon system, ensuring successful execution and communication of requirements and risk mitigation.

As a Senior Associate in Data Strategy, you will collaborate with Data Scientists to manage data acquisition, ensuring quality and governance to support analytics for risk management in Wholesale Credit.

Develop and maintain short-term forecasts for call center operations, analyze trends, collaborate on staffing, and build dashboards for performance metrics.

The CTO Advisor at Anaplan builds strategic relationships with key accounts, advises on enterprise architectures, and drives new business through technology insights.

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