Top 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 Data Analytics Manager will collaborate with Commercial Lines leaders, manage the Global Data Warehouse, and drive data insights for effective decision-making.

Join Chevron as an intern in Information Technology – Information and Analytics. Interns will apply data science and analytics to support sustainable energy initiatives. Responsibilities include data analysis, modeling, and contributing to data-driven decision-making processes across multiple areas.

The Statistician conducts biostatistical analysis for clinical trials, provides project support, prepares statistical plans, and ensures compliance with regulatory standards.

Supervises Data Services team focusing on data engineering and operations, ensuring alignment with IT policies, data governance, and operational reliability of data products.

The role involves managing Data Success Managers, overseeing data operations, supporting partners, and improving team workflows to deliver quality service.

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.

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 Information Architect designs and maintains enterprise data architecture, ensuring semantic consistency and interoperability to support analytics and AI capabilities, while collaborating with business and tech teams.

The Data Governance Analyst will develop data standards, conduct quality assessments, maintain documentation, collaborate with teams, and participate in training on governance practices.

The Director of Master Data Management leads data governance and strategy, ensuring data integrity and consistency across business operations, while managing a cross-functional team.

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

The role involves creating impactful HR technology research, analyzing data governance, engaging clients, and mentoring team members, focusing on AI's influence in HR.

The Lead Data Management role involves overseeing data practices, ensuring compliance, developing data solutions, mentoring junior staff, and driving continuous improvement within the Business Intelligence team.

The Analyst will support payer data management by analyzing data, maintaining reports, coordinating with field teams, and ensuring accurate data hygiene for sales campaigns.

The Manager, Data Success Management oversees Data Success Managers, manages data operations, supports partners, improves workflows, and ensures data quality.

The Data Management Coordinator ensures data accuracy and organization, supports reporting, and maintains data systems while collaborating across various departments.

The Information Management Data Architect is responsible for implementing data governance policies, managing data quality, and participating in multi-software projects, focusing on aligning future architectural direction with business 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.