Top Data Management Jobs in Dallas, TX

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.

Lead design and implementation of data infrastructure, pipelines, and integrations using cloud platforms. Manage teams and client accounts, ensure data quality, security, and compliance, deploy scalable solutions (Databricks, Snowflake), mentor junior staff, and identify data-driven business opportunities.

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.

Lead the data engineering team, develop and maintain data models and pipelines for risk domains, and manage data quality and governance.

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.

This role oversees metadata quality review processes, manages process improvements, analyzes metadata quality data, resolves complex issues, and collaborates on data strategy initiatives while providing training to stakeholders.

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.

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.

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

Manage Finance-focused data products, collaborating with teams to define requirements and drive delivery for financial analysis and reporting.

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.

The role involves managing Data Success Managers, overseeing data operations, supporting partners, and improving team workflows to deliver quality service.

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.

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.

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.

Lead a data engineering team building and operating scalable data pipelines and platforms for personalized financial advice. Own delivery, engineering standards, observability, incident response, DataOps practices, and cross-team partnerships with product, analytics, and ML. Hire and develop engineers while enabling data foundations for ML and GenAI use cases.

Manage and develop a team of data analysts to deliver strategic analytics projects, ensure data accuracy, build reports and dashboards, translate insights into business recommendations, improve operational processes, coordinate cross-functional projects, and support budgeting and team development.

Lead a team of data engineers and analysts, define the data engineering roadmap, oversee data infrastructure, ensure analytics delivery, and establish data governance standards.