Top Hybrid Data & Analytics Jobs in Dallas-Fort Worth, TX

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.

As a Lead Data Engineer, you will design and develop solutions, collaborate with teams on data technologies, and support cloud-based data warehousing and big data applications.

Lead the Branch Decision Sciences team at Wells Fargo, delivering data-driven insights to enhance branch strategy and operational efficiency. Oversee analytics for customer experience and apply advanced data methods to optimize branch operations and decision-making.

The Director, Quantitative Risk Management leads model development for financial products, oversees new product analysis, and ensures model compliance and performance monitoring while managing a team of engineers.

The Senior Data Engineer will modernize financial data platforms, build ETL/ELT pipelines, collaborate with stakeholders, and enhance data governance, while leveraging cloud technologies.

Designs data models, creates reusable schemas, maintains data dictionaries, and translates business requirements into technical specifications to enhance data governance.

Lead the data strategy and oversee project execution for data management, integration, and governance while collaborating with stakeholders and cross-functional teams.

The Senior Data Engineer will architect and implement data pipelines, manage their performance, and partner with stakeholders to ensure data accessibility and quality. Responsibilities include assessing data sourcing needs and providing visibility into pipeline status.

The Sr. Manager, Monitoring and Analytics will execute monitoring controls, develop analytics frameworks, and collaborate with various teams to ensure accurate reporting and issue resolution.

The Enterprise Data Architect will define and govern enterprise data architecture, ensuring data quality and discoverability, while leading cross-functional teams to innovate and implement scalable data management solutions.