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.

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.

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.

Lead advanced analytics for work management systems, build dashboards and models, perform root-cause and data quality analysis, translate business requirements into scalable solutions, collaborate with IT and stakeholders, mentor analysts, and contribute to data governance and analytics modernization.

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.

Support design and delivery of operational, analytical, and AI-ready data products across the full lifecycle: discovery, requirements, semantic modeling, data mapping, testing, deployment, governance, data quality, documentation, and adoption. Work with stakeholders, engineers, governance and AI teams to ensure reusable, trusted datasets and semantic layers; assist UAT, lineage, metadata, and change management, and use AI-assisted tools to accelerate analysis and product design.

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.

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

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 Senior RCM Data Analyst leads revenue cycle analysis, oversees RCM analysts, and partners with leaders to enhance financial performance and operational efficiency. Responsibilities include developing reports and dashboards, identifying trends, and ensuring data accuracy.

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.