Top Data Management Jobs in San Francisco, CA

As a Senior Machine Learning Engineering Manager, you will lead a team developing and deploying machine learning models, collaborate with product and analytics teams, and oversee the design of system architectures and model evaluations. You will ensure AI's potential is leveraged across Atlassian's products and provide mentorship to emerging ML engineers.

As Director of Data Science at Square Point of Sale, you will lead a team of data scientists and analysts, developing data strategies that drive business value. You will collaborate with senior leadership across various domains, enhancing data practices and ensuring the team delivers impactful insights, utilizing machine learning and statistical analysis.

The Vice President of Data Center Construction at Crusoe will oversee the successful delivery of complex data center projects, ensuring they are completed on time and within budget. Responsibilities include managing the project budget, collaborating with leadership and stakeholders, and maintaining industry best practices in design and construction.

The Manager of Ontology and Data Modeling will develop and maintain enterprise ontologies to support Capital One's data strategies, collaborating with various teams to integrate semantic technology into their products. Responsibilities include defining problem statements, leveraging customer insights, managing ontological roadmaps, and mentoring junior staff while adhering to W3C standards.

As a Technical Director on Discovery at Roblox, you will oversee the technical vision and execution for machine learning initiatives related to search and recommendations. Responsibilities include guiding engineers, authoring feature specs, researching new technologies, and collaborating across teams to enhance user engagement and retention.

As a Middle Market Banking Analyst, you will support Bankers and Treasury officers in business development and client management, work on financial models for transactions, prepare marketing materials, and develop an understanding of J.P. Morgan products. The role involves client-facing work and strategic project tasks over a 2.5 year rotational program.

The Data Engineering Manager at Dandy will lead a centralized team, build scalable data infrastructure, and drive innovation by creating data processes and facilitating cross-team collaboration. This role focuses on optimizing data pipelines and fostering a data-driven culture within the organization.