Top Data Management Jobs in Dallas, TX

As a Data Scientist Manager, you'll leverage tech to enhance credit review models, work collaboratively, and drive business outcomes through data analysis and machine learning.

Lead data governance and quality initiatives for the Auto business, overseeing data accuracy, compliance, and team development efforts. Drive remediation and strategy within auto data management.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

The Senior Manager, Data Analysis will lead cross-functional partnerships to validate analytical tools, manage projects, coach team members, and assure data quality and risk assessments while developing innovative solutions and communicating findings effectively.

As a Manager of Data Analysis, you'll drive strategy, lead a team of analysts, optimize operational efficiencies, and leverage vast data for actionable insights.

Lead the ML Data Enablement team to define strategy and execution for accelerating third-party and internal data onboarding, enforce data quality and SLAs, build metadata and lineage standards, and deliver scalable data infrastructure and workflows to reduce time-to-production for ML models.

The Senior Manager, Data Engineering oversees data engineering efforts, focusing on intelligent foundations and experiences. They are responsible for leading teams and optimizing data solutions.

The role involves leading data analysis efforts, developing compliance testing tools, improving operational efficiencies, and mentoring a team of analysts.

The role involves managing data governance projects, analyzing complex data sets, and leading cross-functional teams to derive insights using various analytical tools.

The Senior Manager will lead cross-functional data analysis projects, manage teams, validate tools, and mentor junior staff while enhancing technical skills.

The Analytics Manager will lead a team of analysts, focusing on data product delivery in the life insurance sector, while ensuring quality standards and mentoring team members.

Responsible for managing all data management activities for clinical studies, including data collection, cleaning, reporting, and validation, while ensuring regulatory compliance and quality data delivery.

Lead a team of data scientists to develop marketing mix and attribution models, providing insights on marketing performance and optimizing investments across products and channels.

Lead architect for Compliance data at Coinbase, defining data governance frameworks, designing data contracts, mapping data lineage, and quantifying data impact to enhance compliance reporting and data quality processes.

Lead and implement data and analytics solutions, architect data systems, provide assessments and roadmaps, and mentor teams in a consulting environment.

The Senior Analytics and Insights Manager partners with GTM teams to drive data-driven decisions, providing insights, KPIs, and fostering collaboration for improved performance and strategy execution.

The Cloud Engineer will design, deploy, and maintain Azure-based solutions, collaborating with teams to ensure effective cloud service implementation and management.

Lead the IT Service Management strategy and operations, manage the enterprise CMDB with ServiceNow, oversee compliance, and provide mentorship.

The Digital Data Engineering Manager leads a team in building marketing data infrastructure and manages data strategy, governance, and analytics, ensuring quality and compliance.

The Director/Sr. Director, Data Product Manager leads data product strategy for the insurance domain, ensuring alignment with business goals while overseeing a team of Data Product Leads.

The Manager, Data Science will lead marketing analytics efforts, analyze marketing effectiveness, build models for investment strategies, and collaborate across teams to provide actionable insights.

Lead the Finance Reporting and Analytics team, driving growth and data-driven decision making by solving business problems through data insights.

Lead the Engagement Data Warehouse team, owning the vision for data products and managing a team of data engineers. Drive data roadmap, engineering excellence, and foster team culture within data-intensive systems.

The Senior Manager in R&D Data Literacy & Monetization drives the strategic utilization of R&D data, transforms datasets into reusable products, and promotes data literacy across the organization, ensuring effective governance and promoting advanced analytics and AI initiatives.