Top Remote Data Management Jobs in San Francisco, CA

The Data Storytelling Lead will explore and analyze Square's extensive business data to craft narratives for external stakeholders, monitor PR campaigns, and identify insights that highlight seller usage patterns. They will be responsible for querying databases, leading analytics projects, and collaborating with various teams to communicate complex analyses effectively.

The Manager of Ontology and Data Modeling will develop and maintain enterprise ontologies, work across various departments to support semantic technology, and manage teams focused on ontology governance and optimized data models.

The Machine Learning Engineering Manager will lead the Personalization ML Engineering team at Cash App, overseeing all engineering work related to personalized recommendations and AI solutions. Responsibilities include managing and mentoring team members, collaborating with product and business leaders, and ensuring the deployment of impactful ML solutions. They will also contribute to strategic planning and stay informed on the latest AI techniques.

The Manager of Fraud Analytics will lead efforts in monitoring and mitigating fraud losses, analyzing data to propose strategic improvements, and managing a team of analysts. Responsibilities include developing fraud strategies, collaborating with cross-functional teams, and overseeing vendor performance.

The Director of Consumer Insights & Data Analytics will optimize customer behaviors and improve the purchase journey using data insights. Responsibilities include leading research, analyzing user behavior, driving marketing activities, and developing tools for measuring brand strength and customer segmentation.

As a Manager on the Revenue Analytics team, you'll drive the growth strategy for a Revenue segment by providing analytical insights, establishing KPIs, and optimizing decision-making processes. Your role will involve collaborating with internal and external stakeholders, producing actionable recommendations, and leading projects from start to finish.

Lead Dandy's centralized data engineering function, building and optimizing data processes and infrastructure. Collaborate with cross-functional teams to enhance data accessibility and quality, driving business decisions through data-driven insights. Implement best practices in data engineering and foster a data-driven culture within the organization.