Top Remote Senior Level Data & Analytics Jobs in Atlanta, GA

The Data Strategy & Operations Lead will manage and modernize data operations within Guidepoint, ensuring effective utilization and governance of data assets. Responsibilities include developing a data strategy roadmap, overseeing data quality and compliance, collaborating with cross-functional teams to integrate external data sources, and implementing scalable data processes to support business objectives.

The Data Engineer will architect and maintain data pipelines, develop data applications, and implement a data quality framework. The role requires collaboration with IT and business teams, applying software engineering best practices, and optimizing performance of data solutions using various tools and technologies.

The Legal Technology Consulting Manager will lead client engagements in eDiscovery, overseeing project delivery and mentoring team members. Responsibilities include assessing eDiscovery processes, implementing legal hold and data management systems, and enhancing service delivery through process improvements and client relationship building.

The Senior Data Engineer will manage the inbounding and validation of healthcare data, design and maintain scalable data pipelines, enforce data quality standards, and mentor team members. They will collaborate with teams to provide data solutions while ensuring performance optimization in a dynamic environment.

As a Data Architect, you will lead and expand the Data Platform initiatives, overseeing the development and maintenance of the Enterprise Data Platform, including a Serverless Data Lake and Cloud Data Warehouse while managing a high-performing data team.

The VP, Enterprise Data Sales at Predactiv will lead the adoption of DaaS solutions within the Advertising & Marketing ecosystem. Responsibilities include developing sales strategies for complex enterprise prospects, enhancing customer engagement with the Predactiv Data Platform, preparing technical presentations, and identifying upsell opportunities to drive revenue growth.

As a Senior Machine Learning Engineer at Concurrency, you'll design and engineer ML systems, collaborating with data science teams to solve diverse customer problems. You'll leverage your expertise in supervised, unsupervised, and deep learning, using tools like Python and SQL, while influencing project direction and designing production solutions in a cloud development environment.