Top Data Management Jobs in Richmond, VA

Lead validation of enterprise-wide analytical tools for risk management: plan and execute validation projects, assess methodology quality and tool risk, prototype best practices, communicate findings, and coach junior staff.

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 and mentor a team of analysts to drive risk product strategy using large-scale data analysis, model testing, BI, and reporting. Design and implement data storage/production systems, run experiments, improve processes, and collaborate across business units to deliver analytics-driven product and customer experience improvements.

Lead data analytics for network and merchant compliance: design tests, build models and reporting, mine large datasets, improve data quality and processes, advise stakeholders on risk, and manage a team to implement compliance analytics solutions.

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

Lead and manage managed-services data engineering engagements: design and build modern data ecosystems, convert insights into strategic opportunities, deliver managed data and analytics programs, mentor and coach teams, manage client accounts, maintain quality and governance, and drive cloud-scale development and transformation initiatives.

Lead design and execution of data governance strategies, manage client accounts and deliverables, supervise and mentor teams, analyse data to inform business decisions, ensure compliance with firm standards, and identify improvements in data management processes.

Lead development and implementation of data-driven strategies, manage project planning and delivery, mentor and coach team members, analyze complex datasets to derive actionable insights, and ensure quality, governance, and ethical standards across data and analytics engagements.

Lead data engineering engagements within managed services: design data architectures, build ETL pipelines, implement analytics and BI solutions (Redshift, DataStage, SQL/DB2), coach teams, engage stakeholders, apply systems thinking, validate client outcomes, and drive solution optimization and performance tuning.

Lead design and delivery of cloud-based data architecture, ETL/ELT pipelines, data warehouses and lakes. Manage teams, coach associates, ensure data governance/security compliance, troubleshoot pipelines, and collaborate with stakeholders to translate business requirements into scalable technical solutions.

Lead design and implementation of data architecture and cloud-based data solutions. Develop data pipelines, models, and flow diagrams; ensure governance and security compliance. Lead large projects, advise clients strategically, drive operational excellence, and coach teams to solve complex problems.

Lead a team of people analytics analysts to deliver talent acquisition and international strategy analytics. Own data standards, end-to-end projects, pipeline integrity, AI/automation prototyping, and executive reporting while coaching staff and translating technical insights into recommendations for senior leadership.

Lead a team of analysts to drive strategy, mine and analyze large datasets, build and validate models, improve reporting and processes, design tests, and collaborate across business units to enhance business card and payments products.

Lead validation of enterprise analytical tools: refine frameworks, plan and execute validation projects, assess methodology quality and risk, prototype best practices, communicate findings, and coach junior staff while influencing business strategy.

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

The Manager will lead payments governance and oversight initiatives, implement data reporting frameworks, and enhance risk management practices through stakeholder collaboration and data insights.

Lead the migration domain to ensure accurate, complete, repeatable migration of customer, account, product, and transactional data. Oversee migration automation/tooling and legacy data hygiene. Own analytical frameworks, data mapping, and reconciliation controls to ensure institutional and regulatory confidence. Lead cross-functional teams and drive product outcomes aligned with business and technology objectives.

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 development and execution of data governance strategies, supervise and mentor teams, manage client accounts and deliverables, analyze data to inform business decisions, ensure compliance with firm standards, and identify improvements to data management processes.

Lead development and execution of data-driven strategies, manage and mentor a data analytics team, oversee project planning and delivery, analyze complex datasets to produce actionable insights, implement cloud data architectures, and support data governance and continuous improvement.

Lead design and delivery of cloud-based data architecture, data models, ETL/ELT pipelines, data warehouses/lakes, and data security. Manage projects, mentor team members, ensure governance compliance, collaborate with stakeholders, and optimize cloud infrastructure for performance, cost, and scalability.

Lead design and implementation of data architecture and cloud-based data engineering solutions. Manage large projects, translate stakeholder requirements into technical designs, ensure data governance and security, develop data models and pipelines, advise clients strategically, and coach teams to deliver operational excellence.

Lead and scale enterprise data governance operations: manage the data domain model and business glossary, run governance council operations, enforce data policies and compliance (SOC 2, GDPR/CCPA), drive catalog adoption and data literacy, and measure governance maturity and ROI through dashboards and remediation workflows.