Top Remote Data Management Jobs in Hampton Roads, VA

In this role, you will manage data for clinical trials, oversee data monitoring and management activities, maintain data quality according to the Data Management Plan, and collaborate with colleagues to promote operational excellence while documenting lessons learned to enhance cross-study learning.

The Data Applications Manager will lead the development and implementation of data integration strategies and operational reporting solutions. The role requires managing enterprise-level systems and ensuring seamless data ecosystem performance while overseeing technical team management and stakeholder engagement.

The Claims Data Analysis & Reporting Manager will focus on data visualization, reporting, and analysis related to Workers' Compensation claims. Responsibilities include creating dashboards, conducting predictive analytics, collaborating with teams to enhance data infrastructure, and improving the overall efficiency of claims processes. The role requires strong technical skills and business acumen within the insurance industry.

As the Manager of Market Analytics and Insights, you will analyze market data, provide insights to the Diabetes Care division, and support strategic decision-making with forecasts and analyses. Your role includes research methodology application, data interpretation, and executive presentation development.

The Data Science Senior Manager will lead the Lingo Data Science team at Abbott, managing a team of data scientists to build biowearable technologies. The role involves developing machine learning models, managing large data sets, conducting statistical analysis, and collaborating with stakeholders.

Manage a team of data scientists and machine learning engineers to develop AI products that enhance business performance and operations. Translate data findings for business strategy and decision-making. Lead the implementation of data strategies and ensure robust data architecture and management while fostering team development.

Leading and collaborating on the engineering design, development, and deployment of features and projects. Responsible for writing clean, reusable code, improving code structure for maintainability, and solving problems in collaboration with colleagues and clients.

The Practice Director will drive the success of the Data Engineering and AI/ML practice, providing strategic and technical leadership while managing a team of data professionals. Responsibilities include leading client engagements, ensuring practice growth, mentoring team members, and overseeing project delivery with a focus on analytics and cloud adoption.