Top Senior Data Management Jobs in Richmond, VA

The Senior Data Analysis Manager will manage data analytic projects, create dashboards, partner with stakeholders, and lead a team, focusing on strategic insights and analytics.

The Manager of Data Analysis leads a team to leverage analytics for improving customer experience, driving strategy, and implementing data models. Responsibilities include data mining, process improvement, and project lifecycle management, all within a collaborative environment.

The Senior Manager, Data Analysis leads validation projects, enhances analytical tools, manages teams, and influences business strategies through data analysis.

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.

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.

The Senior Manager leads card data management, ensuring data quality, compliance with policies, and driving automation and risk oversight through team collaboration and innovation.

Lead data strategy and analytics for consumer products, mentor junior analysts, manage projects, and improve operational efficiencies using data-driven insights.

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 Senior Manager, Data Analysis will validate business impacting analytical tools, assess methodologies, coach junior staff, and execute validation projects.

The Data Analysis Manager will drive strategies using analytics, lead a team of analysts, enhance customer experiences, and improve data processes.

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.

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.

As a Senior Manager, Data Analysis, you will validate analytical tools, enhance technical skills, manage projects, and coach junior staff while collaborating cross-functionally.

The Senior Manager of Data Engineering leads developers in creating technical solutions using various technologies, mentoring staff, and collaborating to enhance cloud-based services for financial empowerment.

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

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

The Senior Manager will lead cross-functional analytics projects, validate analytical tools, and mentor junior staff while driving data-based business strategies.

The Manager, Data Analysis will lead a team of analysts, leveraging analytical skills and models to drive data strategy and improve customer experiences. Responsibilities include mining complex data, enhancing operational efficiencies, and mentoring junior team members while collaborating across business units.

Manage SoFi's enterprise TPRM platforms, optimizing workflows, delivering data analytics reports and dashboards, and enhancing risk intelligence for decision-making.

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.

The Senior Manager of Data Engineering will lead a team, manage data platforms, drive modernization, oversee budgets, and ensure data solutions are scalable and reliable.

The Clinical Data Manager will manage research databases, oversee EHR to EDC automation, ensure data quality, and perform statistical analyses.

Manage a team of ~7 data scientists to deliver experimental design, product analytics, and actionable insights. Partner with product, engineering, and research to build measurement, data products, and reporting; ensure data accuracy, timely delivery, and best practices.

Lead a team of ~7 data scientists to deliver accurate product analytics and experimentation insights. Manage people, mentor staff, partner with product and engineering to build accessible data products, and improve measurement, reporting, and experiment practices to inform product decisions.

Lead a team of ~7 data scientists to deliver timely, accurate product analytics and experimentation insights. Manage people, partner with product and engineering, improve measurement and data products, and ensure rigorous large-scale analysis to inform product decisions.