Top Data Management Jobs in Atlanta, GA

The Data Manager will support partners by addressing data needs, managing issues, and implementing best practices for effective data use in civic engagement campaigns.

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

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

Manage analytic teams to develop reports and dashboards for data-driven decision making, overseeing BI solutions and ensuring data integrity.

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

The role involves leading research strategy in data management and AI enablement, guiding technical execution, mentoring junior analysts, and presenting findings to stakeholders.

As a Senior Associate, you will develop and implement IBM MDM solutions, mentor junior team members, and manage data quality frameworks while providing insights from data analysis.

The Data Management and Governance Manager is responsible for overseeing data standards, managing data quality, and promoting best practices in data governance, while managing a team and collaborating with stakeholders.

The Head of Master Data Management leads MDM initiatives, data governance, and team management, aligning strategies with business objectives.

The Collibra Architect Consultant designs and implements data governance and management solutions, providing expertise in Collibra while assessing data environments to drive actionable insights for clients.

Lead the data management team in clinical trials and medical affairs, ensuring quality data, project oversight, stakeholder engagement, and compliance with standards.

The Associate Director will manage commercial data assets, ensuring data quality and governance while liaising between stakeholders and data engineering teams.