Top Senior 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.

The Data Systems Manager will oversee data architecture, implement MDM strategies, ensure data quality, and drive governance initiatives to support business intelligence.

Manage data and analytics projects, align client data strategies, facilitate cloud data migration, and coach team members while ensuring business objectives are met.

Zeta Global seeks a Senior Manager, Data Cloud Consulting to provide strategic guidance on paid media and CRM to clients, develop marketing strategies, and manage analytics roadmaps. The ideal candidate will have extensive experience in data-driven strategy consulting and marketing.

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.

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, improving operational efficiencies, mentoring analysts, and applying advanced analytical skills to drive business strategy and customer experience.

The Sales Analytics Manager II analyzes sales strategies, prepares presentations for leadership, manages projects, and identifies business improvement opportunities using technical and analytical skills.

The Data & Operations Reporting Manager provides strategic oversight for reporting tools, ensures report accuracy, engages stakeholders, manages data supply chain, and oversees solution implementation.

The Data Analytics Manager analyzes complex datasets for private equity and corporate clients, providing insights for transactions, guiding due diligence, and mentoring junior team members.

Manage data governance and Master Data Management, ensuring data quality and oversight. Collaborate with stakeholders and IT on data architecture and strategy.

The Sr. Manager Customer Data Strategy & Advanced Analytics leads customer data strategy, advanced analytics initiatives, and AI/ML solutions to drive business impact and personalization across customer interactions.

The Senior Data Manager will design, configure, and launch clinical trials on Citrus while managing data quality and collaborating with product teams and stakeholders.

The Senior Manager, Data Analytics leads a team of Data Product Managers to deliver insights, AI initiatives, and analytics solutions to support business growth across various departments.

The Data Insights Manager translates data into actionable insights, builds dashboards, and collaborates to drive data-driven decisions across teams.

The Senior Manager, Data Science & Analytics will lead a team to drive analytics and experimentation strategies for Yahoo Mail's growth and monetization, engaging with product, finance, and marketing to transform data insights into actionable strategies for success.

Lead a team of data scientists to drive user growth through insights and strategic initiatives, collaborating with cross-functional partners.

Lead data strategy for a cyber insurance platform, managing data flows, integrations, governance, and analytics while mentoring a data engineering team.

As a Senior Data Steward Manager, you'll oversee data management and governance, ensure data quality, and work with cross-functional teams to meet data standards.

Manage the rollout of Oracle EPRCS, lead transitions from legacy reporting tools, evaluate data integration, ensure data integrity, and oversee system access across Oracle platforms.

The Manager of Data Analytics Engineering will lead a team of engineers, manage data pipelines migration, collaborate with project managers, and mentor staff while fostering growth in a data-driven environment.

Lead a data science and analytics team for Netflix's game product and platform. Responsible for measurement, experimentation strategies, and coaching the team to deliver insights vital for games strategy.

Manage a team of data scientists to develop fraud detection models, mentor staff, and collaborate with leadership on solutions and product development.

Oversee the enterprise data hub, manage data governance strategies, implement best practices for data modeling, deliver GTM-ready data, and lead a team of data engineers to leverage AI and advanced analytics for business impact.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.