Top Remote Data Management Jobs in Los Angeles, CA

The Head of Data will lead HappyCo's data strategy, aligning it with company goals and overseeing data architecture, warehousing, analytics, and reporting. This role requires collaboration across departments to build scalable infrastructure, implement best practices for data governance and ETL/ELT pipelines, and provide mentorship to the data team, driving a culture of growth and innovation.

As a Director in the Data and Analytics team, you will lead client projects, develop data strategies, and implement analytics tools. You will collaborate with clients to drive transformation through effective project management while utilizing tools like Python, Alteryx, and PowerBI.

The Senior Practice Manager for Data Engineering leads a team in delivering data modernization and AI/ML solutions, focusing on professional services engagements. The role includes strategic planning, project management, and mentoring direct reports while fostering strong customer relationships and advocating for cloud data solutions using AWS and GCP.

The Data Solutions Director at Rackspace will lead the design of AI and Data Engineering solutions, overseeing both solution design and presales efforts for enterprise accounts. Responsibilities include managing product ownership, stakeholder engagement, and collaborating on business proposals. The role requires deep knowledge in AI/ML or Data Engineering, proficiency in cloud-native tools, and strong communication skills.

The Practice Manager leads a team in Data Science, AI, and ML, overseeing customer projects, driving successful outcomes, and mentoring team members. Responsibilities include technical leadership, project management, operational support, and fostering team culture while ensuring the overall success of the practice.

Lead a team of engineers to design and maintain data pipelines, ensuring scalability and performance. Allocate resources effectively, provide guidance, monitor project progress, and foster a culture of innovation. Stay updated on industry trends and handle technical issues to support product enhancements.

Lead a small team of engineers to design and manage scalable data pipelines. Guide projects and deliver high-quality software, while ensuring performance and reliability. Foster innovation and mentoring within the engineering department, addressing technical challenges that arise.

The Manager in Marketing Analytics & Data Science will lead analytics projects, manage client relationships at an executive level, and guide a team of data scientists. Responsibilities include strategic consulting for clients, team development, and contributing to the company's growth initiatives through leadership and project management.

The Facilitator for the Data Science program will mentor a small group of up to 5 learners online, facilitating discussions twice a week and providing feedback on their projects. They will apply real-world concepts to the curriculum and foster a collaborative learning environment. This role requires strong leadership skills and a commitment to empowering students.