Top Data Management Jobs in Dallas, TX

Lead and manage teams building modern data ecosystems, convert data into strategic insights, oversee project planning and delivery, mentor staff, manage client accounts, uphold quality and governance, and drive cloud-scale data strategies and managed services.

Lead development and execution of data governance strategies; manage client accounts and teams; mentor staff; ensure quality, compliance and improved data management; analyze data to inform business decisions and drive innovation.

Lead design and implementation of data architecture for healthcare systems, guide stakeholders, mentor teams, ensure regulatory compliance (HIPAA/PHI), and apply data solutions and GenAI for operational improvement and quality reporting.

Lead development and execution of data-driven strategies, manage and mentor analytics teams, ensure quality and ethical standards, implement cloud data architectures and advanced analytics, manage project timelines, and translate complex data into actionable insights.

Lead design and delivery of data engineering solutions for clients: build and maintain data pipelines and architectures, apply advanced analytics, implement BI/visualization, manage managed-service SLAs, coach teams, and validate outcomes with stakeholders.

Lead design and implementation of data architecture, ETL/ELT pipelines, data warehouses/lakes and security practices. Manage teams, mentor staff, translate business requirements to technical solutions, ensure compliance with governance, and optimize cloud-based data infrastructure across AWS/Azure/GCP.

Lead data engineering projects, design and maintain ETL/ELT pipelines and architectures, deliver cloud-based analytics and BI solutions (AWS/Redshift, S3, Glue), mentor teams, collaborate with stakeholders, drive process improvements, and ensure successful client delivery.

Lead design and implementation of scalable data architecture, pipelines, integration, and transformations. Manage large projects, advise clients strategically, ensure governance and security compliance, document data models and data flows, evaluate new data technologies, and coach and grow diverse high-performing teams to deliver data engineering best practices.

Lead data validation and risk management projects using advanced analytics, data pipelines, visualization, and predictive modeling. Mentor teams, implement data quality improvements, and deliver scalable data solutions to meet client objectives.

Lead strategy and delivery for data governance products that improve metadata standards, access workflows, and AI-readiness. Drive discovery, define requirements, partner with design and engineering, ensure compliance with risk/control, measure product outcomes, and increase adoption while reducing cycle time and access friction.

Lead end-to-end delivery of governed CRM data products for CIB Sales: define requirements, ensure data quality, SLAs, documentation, and deliver reusable datasets, APIs, dashboards and ML-ready assets while partnering with stakeholders and platform teams.

Lead and develop a team delivering data conversion for customer implementations. Drive adoption of AI and automation, manage complex/at-risk migrations, track KPIs, and improve processes through experimentation and transformation.

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

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

Lead development and execution of data governance strategies, supervise and mentor teams, manage client accounts and deliverables, analyze data to inform business decisions, ensure compliance with firm standards, and identify improvements to data management processes.

Lead development and execution of data-driven strategies, manage and mentor a data analytics team, oversee project planning and delivery, analyze complex datasets to produce actionable insights, implement cloud data architectures, and support data governance and continuous improvement.

Lead design and delivery of cloud-based data architecture, data models, ETL/ELT pipelines, data warehouses/lakes, and data security. Manage projects, mentor team members, ensure governance compliance, collaborate with stakeholders, and optimize cloud infrastructure for performance, cost, and scalability.

Lead design and implementation of data architecture and cloud-based data engineering solutions. Manage large projects, translate stakeholder requirements into technical designs, ensure data governance and security, develop data models and pipelines, advise clients strategically, and coach teams to deliver operational excellence.

Lead and scale enterprise data governance operations: manage the data domain model and business glossary, run governance council operations, enforce data policies and compliance (SOC 2, GDPR/CCPA), drive catalog adoption and data literacy, and measure governance maturity and ROI through dashboards and remediation workflows.

Oversee data ingestion and transformation, manage finance data sources, ensure scalability and reliability of data platforms, and collaborate with stakeholders to align data engineering with organizational goals.

Lead and manage a team of data engineers to develop and maintain data pipelines and warehouses, ensuring data quality and adherence to best practices.

Lead Finance Data & Analytics to build trusted data sources, governance, and analytics for Finance and cross-functional stakeholders. Manage analysts, drive data strategy and Snowflake data models, produce insights via SQL and Tableau, and deploy AI solutions to optimize finance decision-making and operations.

As Senior Manager of Data Analysis, you will validate analytical tools, manage validation projects, assess quality and risks, and mentor junior staff.

Lead a small analytics team to deliver end-to-end interactions and events analytics: define data, pull and analyze datasets, build insights and recommendations, create and automate dashboards/reports, coach team members, partner with stakeholders, and drive continuous improvement to improve client interactions, retention, and operational performance.

Lead second-line oversight of Data Quality controls: build and run a control monitoring program, manage annual oversight planning, perform design and operating effectiveness assessments, enforce sampling and evidence standards in the firm GRC tool, provide MI and challenge first-line owners, and lead a small team to drive remediation and reporting to senior management.