Top Data Management Jobs in San Francisco Bay Area, CA

The Advanced Analytics Manager will drive growth at ZS by applying technical expertise to drug discovery, managing projects, and building client relationships.

As a Senior Analytics Manager, you will develop growth strategies, manage user acquisition attribution, lead experiments, and coach a direct report while collaborating cross-functionally to optimize marketing and retention efforts.

Lead Gusto's ML and AI strategy; partner across teams to enhance customer experiences and operational efficiency through data-driven solutions. Drive initiatives, develop frameworks for responsible AI, and oversee the ML/AI portfolio's lifecycle.

The Head of Applied AI will lead the AI strategy and research team, driving innovations in generative AI and deep learning, while managing talent and collaborating across teams.

Lead and develop machine learning solutions for business impact, managing a high-performance team and collaborating cross-functionally.

Lead the technical vision for machine learning in search and recommendation systems, ensuring effective implementation and high standards. Collaborate across teams, balance research with practical applications, and simplify complex problems.

The Data Engineer will build and maintain data pipelines, advocate for best practices, and support decision-making with robust datasets.

The Data Engineering Manager will lead a team to build a data pipeline for analyzing advertising effectiveness, managing large datasets and collaborating cross-functionally with teams.

The Machine Learning Architect will design and implement ML solutions on cloud platforms, working directly with customers to align strategies with business goals. Responsibilities include end-to-end project management, model deployment, and maintaining strong customer relationships.

Lead a team to develop groundbreaking technology combining NLP, big data, and AI to enhance digital communication and interaction.