Top Senior Data Management Jobs in Dallas, TX

Lead data engineering efforts within Technology Consulting: design data architecture and pipelines, implement AWS/Redshift and ETL solutions, support BI (QlikView/Oracle BI), coach teams, manage client relationships and SLAs, apply systems thinking to optimize outcomes and validate solutions with stakeholders.

Lead data engineering engagements to design, build, and maintain ETL/ELT pipelines and cloud data architectures. Manage client accounts and mentor teams, leverage tools like DataStage, AWS/Redshift, DB2/SQL Server, GoldenGate, and BI/visualization platforms to deliver analytics, performance tuning, and scalable reporting solutions.

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

Manage the Data Lake engineering team at Apex Fintech Solutions, driving technical initiatives, collaborating with stakeholders, and ensuring scalable data solutions. Responsibilities include team leadership, Agile facilitation, technical strategy, risk management, and establishing best practices in data engineering.

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

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 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.

Build and lead the Compliance data function, owning data products for Customer Risk, Transaction Monitoring, AML, Sanctions. Design and implement data risk frameworks (quality, usage, lineage), enforce data contracts between producers and consumers, maintain end-to-end lineage with Engineering, and drive a risk-based data roadmap aligned with compliance requirements.

Lead data-driven strategies and analytics at PwC, motivating teams to improve business performance and decision-making through advanced techniques and collaboration.

As a Manager in Data Governance at PwC, you will lead data governance strategies, supervise teams, manage client accounts, analyze data for decision-making, and ensure compliance with standards.

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.

As a Senior Manager in Data and Analytics Engineering at PwC, you'll design data architecture strategies for healthcare, mentor teams, influence stakeholders, and enhance healthcare operations through data solutions.

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

As a Manager in Managed Services, you'll lead data ecosystems projects, mentor juniors, manage client accounts, and deliver data strategies to optimize operations and drive insights for clients.

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.

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 domain data strategy and governance for PBM; define use cases, validate technical execution, set data quality and governance metrics, enable end-users, standardize processes, and coordinate resources and stakeholders to ensure compliant, accessible, high-quality domain data.

Lead a team of data and infrastructure engineers to develop cloud-based data systems and solutions for analytics, ensuring best practices in data management and MLOps.

Lead data management for complex global clinical trials, ensuring quality and compliance while mentoring staff and driving process improvements.

Lead master data management governance, define standards and mappings, approve data changes, audit mappings, manage a team of mapping specialists, collaborate with stakeholders, and drive MDM project delivery and training.

Lead a data analytics team delivering statistical modeling and data science projects. Define standards, coordinate cross-functional analytics objectives, manage people and budgets, resolve complex issues, provide recommendations from detailed analyses, ensure timely, high-quality delivery, and maintain regulatory and ethical compliance.

The role requires leadership in enterprise data management, focusing on MDM, governance, data quality, and architecture, ensuring high-quality, trusted data for analytics and operational use, while managing a team and collaborating with stakeholders.

The Data Operations Sr. Manager leads data operations by managing daily workflows, improving data quality, and collaborating with teams to deliver data solutions. Responsibilities include troubleshooting issues, automating processes, and coaching the operations team while ensuring compliance with healthcare data standards.

Design and deliver scalable cloud-native data pipelines and models using Airflow, Snowflake, and AWS to support paid and owned marketing. Ensure data quality, governance, security, performance optimization, and cost efficiency. Collaborate with product and business teams, contribute to platform modernization, and mentor engineers to promote best practices in testing and deployment.

Lead strategic data evolution for Fund Administration clients, building dashboards, managing stakeholders, and translating business needs into actionable insights.