Top Remote Data Management Jobs in Los Angeles, CA

The VP of Data and Analytics will build and lead data engineering teams, driving insights from a large dataset environment. Responsibilities include developing the data architecture, fostering a self-service data culture, and integrating AI capabilities to enhance business growth. This role requires collaboration across business units to ensure effective data usage and predictive insights for strategic decisions.

The Analytics Senior Manager will develop and execute a consumer analytics strategy while partnering with stakeholders to derive insights from complex data. Responsibilities include building analytical roadmaps, collaborating with data engineers, and implementing best practices for data visualization and management.

The Manager of Analyst Relations & Public Relations at Actian will drive the analyst relations strategy, maintain relationships with industry analysts, coordinate AR and PR activities, manage scheduling, and ensure consistent messaging in external communications. This role also involves supporting PR campaigns and monitoring industry trends.

You will lead a team to innovate in natural language processing, big data, and artificial intelligence, creating technologies that change digital interaction. This role demands creativity, strong collaboration skills, and the ability to develop prototypes rapidly.

The Senior Manager of Member Care Analytics will lead a high-performing analytics team, drive strategic direction and alignment with organizational goals, and transform manual workflows into automated solutions. This role emphasizes collaboration across functions, compliance with regulations, and utilizing AI technologies to enhance data insights for operational excellence and improved member experiences.

The Lead Data Visualization Developer is responsible for creating reports and dashboards using tools like Tableau and PowerBI, interacting with clients to understand their needs, and ensuring the accuracy and quality of data visualizations. This role involves developing prototypes, conducting user training, and creating documentation for BI deliverables.

As a Senior NLP Data Science Researcher, you will leverage advanced Generative AI and NLP methods for healthcare projects. Your responsibilities include optimizing NLP/LLM models, developing Python-based inference pipelines, and performing data analysis. Strong technical and communication skills are essential as you interact with clients and lead scientific publications.