Top Data Management Jobs

The Senior Manager, Data Analytics and Insights will leverage data analytics to provide insights into workspace usage, develop predictive analytics, and enhance reporting capabilities across the organization, collaborating with various stakeholders.

Manage IT teams in the design, development, testing, and implementation of applications, ensuring data integrity and project success while overseeing budgets and team performance.

The IT Audit Senior Manager leads data-related audits, guides teams on corrective actions, analyzes audit results, and develops audit reports while addressing complex problems and mentoring colleagues.

Lead the data engineering team, shaping strategy, managing data pipelines and architecture, and translating business needs into efficient data products.

Lead the data strategy and analytics initiatives to foster data-driven decisions, manage a team, and ensure data quality and compliance.

Manage CVS Health's data partnerships and monetization strategy, source new partnerships, ensure operational success, and drive data product adoption across analytics teams.

The Data Scientist/Manager will analyze data, develop models, support organizational missions, and provide insights to enhance decision-making for the USDA.

The Senior Manager of Clinical Data Management leads data management activities for clinical studies, ensuring quality and compliance. Responsibilities include database design, CRO management, and regulatory preparation.

Lead marketing data and AI strategy: architect the single source of truth, design scalable data models, create measurement and attribution frameworks, prioritize and productionize predictive AI use cases, and embed responsible AI governance across marketing.

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.

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

The Manager of Data Engineering leads the delivery of client data migrations, mentors a team, and enhances technical delivery methodologies.

The Enterprise Data Engineering Manager will lead data implementations and architecture, establish frameworks, and mentor teams to deliver scalable data solutions.

The Senior Manager, Performance Data Operations leads the Population Health Impact team, driving performance improvement initiatives, building complex datasets, and communicating insights to stakeholders. Responsibilities include data analytics, program management, and fostering cross-functional relationships.

The Manager of Data Visualization will lead BI initiatives, drive advanced analytics strategies, manage reporting frameworks, automate processes, and mentor teams to enhance data-driven decision-making using data visualization tools and AI-driven analytics.

The Data Engineer will develop ETL/ELT pipelines, manage data workflows for AI applications, and optimize data integration and storage in GCP.

The Data Solutions Manager leads a team to deliver high-quality data solutions, overseeing data management, sharing, governance, and modernization across on-prem and cloud environments.

Serve as the bridge between business stakeholders and technical teams to define, prioritize, and deliver data products (dashboards, data models, integrations, reporting, AI features). Gather requirements, write user stories, manage backlog, validate deliverables, support UAT, document data definitions/lineage, and evangelize products to drive adoption and ensure data quality and governance.

The Advanced Data Analytics Manager will solve complex business problems, mentor analysts, and communicate insights to leadership using advanced analytics methods and stakeholder management skills.

The Senior Manager for External Data will lead external data strategy, manage vendor relationships, oversee data research, and ensure compliance across teams to enhance business operations.

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.

Manage teams of data scientists to identify opportunities and create solutions for business units, improving operations and decision-making.

The Content Manager will oversee FactSet's pricing and security reference database, ensuring collaboration across teams and maintaining data standards for various asset classes.

This role leads the development of consumer data models and AI reporting solutions, ensuring data consistency and governance while enabling self-service analytics across the organization.

The Senior Manager, Clinical Data Management will oversee data management activities, ensuring data accuracy, coordinating study tasks, and managing relationships with CROs and vendors while utilizing clinical systems and AI tools for efficiency.