Top Remote Data Management Jobs in Dallas, TX

The Data Platform Development Lead will define and execute the strategic vision for Redhorse's data platform, implementing a 'data as a product' approach. Responsibilities include collaborating with stakeholders, overseeing development and execution of a data roadmap, promoting data-driven decision-making, and managing cross-functional teams to optimize aircraft maintenance through data insights.

The facilitator will guide small classes in Data Science courses, providing discussions, feedback, and fostering a collaborative learning environment. Responsibilities include assessment grading and connecting theoretical concepts with practical applications to empower learners.

The Head of Analyst Relations will create partnerships and establish Atlan as a thought leader in data innovation by fostering relationships with industry analysts, sharing customer success stories, and leading industry research programs. This role emphasizes strategic communication, collaboration, and community building within the data landscape.

The role involves managing analytics projects in the insurance sector, translating business problems into analytics solutions, and presenting findings to stakeholders. It requires strong expertise in data analytics, visualization, and model deployment, along with leadership and team management skills to engage with senior clients.

The Senior Manager, Data Analytics will develop and advance analytics capabilities within the commercial organization, mentor analysts, provide actionable insights, and establish best practices for analytics. This role emphasizes collaboration with sales, marketing, and the IS team to enhance the analytics environment and training programs.

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.