Top Senior Data Management Jobs in Houston, TX

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 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.

Lead and manage a large data management and quantitative analysis team to prepare datasets, perform statistical, financial, and econometric modeling, oversee data-related technology improvements, manage vendor relationships, ensure service quality per SLAs, and deliver client-facing documentation, reporting, and insights.

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.

This role manages MDM/PIM strategies and architectures, ensuring data integration across enterprise systems, governance, and data quality. Responsibilities include overseeing implementation, leading cross-functional teams, and defining data governance frameworks.

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.