Top Senior Data Management Jobs in Atlanta, GA

The Senior Portfolio Lead will oversee data management services for clients, ensuring quality deliverables, strategic oversight, and optimal clinical data flows, while leading cross-functional teams and managing complex client relationships.

The VP of Alternative Data Strategy drives sourcing, prioritisation, and implementation of alternative datasets, aligning data opportunities with investment strategies and governing data usage across teams.

This role analyzes data and generates insights regarding law firm spending and performance. Responsibilities include reporting, stakeholder management, and process improvement.

The Associate Director, Data Strategy will establish and deliver a comprehensive data strategy for rare diseases, partnering with stakeholders to manage data sourcing, governance, and reporting, while ensuring alignment with business priorities.

The Manager, Data Management & Governance will oversee the accuracy and quality of customer platform data, manage governance frameworks, ensure integration for onboarding, and partner with multiple teams to align data needs.

Lead oversight of data management for assigned studies, manage external vendors, review and approve DM documentation, perform secondary UAT of EDC, implement RBQM oversight, and provide cross-functional input on protocols and study deliverables to ensure data quality and regulatory compliance.

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 Associate Director leads a data management team, ensures quality deliverables for clinical trials, manages vendor relationships, and implements process improvements across data management activities.

The Director of Data Management leads the design and governance of the enterprise data ecosystem, focusing on building a scalable data platform and integrating AI. Responsibilities include data architecture, automation, governance, and team leadership.

Lead the development of a global attribution strategy, manage data product requirements, and facilitate cross-functional collaboration to enhance measurement practices.