Top Remote Data Management Jobs in Dayton, OH

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.

The Privacy and Data Protection Manager will oversee 1Password's global privacy and data protection programs, ensuring compliance with various data protection regulations. Responsibilities include conducting compliance monitoring, legal research, incident management, and vendor management while collaborating with internal teams to maintain effective data protection practices.

The Master Data Management Lead will support the Data Analytics team, lead data governance activities, manage the master data team through requirement gathering and testing processes, and ensure the accuracy of customer master data across SAP and Oracle ERP systems. They will also facilitate cooperation among project teams and remove obstacles during implementation phases.

The Director of Data Engineering at Shift4 will lead the data architecture, manage a team of data engineers, and oversee the development of scalable data pipelines and governance processes while collaborating with various teams to support analytics and reporting needs.

The Senior Manager of Data Science at Oscar leads a team of Data Scientists to enhance clinical operations through strategic analytics, performance measurement, and modeling. This role involves collaboration with stakeholders to improve member care, reduce costs, and automate processes while maintaining technical oversight and management responsibilities.

As a Senior Manager in Data and Analytics, you will lead projects to implement data strategies, build automation tools, and develop visualizations for clients. Responsibilities include project management, communicating business needs, and collaborating with stakeholders to drive data-driven transformations.

The Head of AI at Drips will lead and innovate AI and ML initiatives focusing on NLP and dialog management. Responsibilities include overseeing the AI technology lifecycle, advocating for the Drips Platform, driving effective team development, and fostering continuous improvement in AI techniques and applications.