Top Senior Data Management Jobs in Richmond, VA

The Manager, Data Analysis will leverage analytical skills to drive strategy, mentor junior analysts, and oversee data management projects in the Retail Banking sector.

Lead the Emerging Fraud team as a Senior Data Scientist, developing machine learning models to identify and neutralize fraud threats, leveraging a wide range of technologies.

The Data Analysis Manager will lead a team, drive analytic strategies, and improve operational efficiencies while working with large datasets. Responsibilities include data mining, implementing process improvements, and consulting on new systems.

As a Senior Manager, you will validate analytical tools, manage projects, assess risks, mentor staff, and communicate results effectively.

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 Senior Manager of Data Analysis will manage validation projects, assess analytical tool risks, and mentor junior staff while collaborating cross-functionally and enhancing analytical capabilities.

As a Senior Manager, you will lead cross-functional data analytics projects, validate tools, and influence business strategies while mentoring junior staff.

As a Data Analysis Manager, you will lead a team to leverage analytics for strategy, manage large datasets, improve efficiencies, and mentor junior analysts.

Lead the Card Finance Innovation team, managing data analysis processes and tools, guiding projects and mentoring staff, focusing on financial analysis and strategic investments.

Lead analytics engineering for finance data, delivering governed models and reporting solutions, improving data quality and controls, and partnering with multiple stakeholders.

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.

As a Data Analytics Manager, you'll lead a team, drive strategy through data analysis, collaborate across units, improve processes, and mentor junior analysts.

The Senior Business Manager will lead a team of business analysts, driving data transformation initiatives, improving data usage, and collaborating with product teams to enhance business value.

The Data Analysis Manager will drive strategy through analytics, lead a team, improve processes, and collaborate on data-driven decisions in a dynamic environment.

As a Senior Manager Data Analysis, you will oversee data analytics projects, ensuring quality and risk assessment of analytical tools, while mentoring junior staff and influencing business strategies.

Lead the development of analytics solutions across operations, manage a team of analysts, and drive operational excellence and decision-making through data insights.

The role involves leading a team in data analysis, building models, improving processes, and leveraging analytics for strategic growth, while mentoring junior analysts.

The Tag Manager will oversee and optimize Rula's tagging ecosystem, ensuring accurate data capture and collaborating cross-functionally to enhance analytics capabilities and data trust.

The role involves driving strategy through data analytics, leading a team, implementing process improvements, and developing data models. Requires strong analytical, problem-solving, and leadership skills.

Responsible for global pricing data integrity and analytics, developing reporting tools, and supporting pricing execution with cross-team collaboration.

Lead and mentor a Data Engineering team, manage data operations, ensure compliance with HIPAA, and design scalable ETL pipelines while collaborating across departments.

The role involves leading a team to drive data-informed decision-making and AI solutions to enhance commercial operations and growth. Responsibilities include mentoring, executing digital transformation roadmaps, and improving business processes through data analytics.

Manage a team of analysts while analyzing data, reporting, and enabling AI/ML model deployment. Provide insights and automate processes.

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

Lead and scale the data analytics function, manage a distributed analytics team, deliver actionable insights, and oversee analytics projects.