Top Artificial Intelligence Data & Analytics Jobs in Austin, TX

As a Senior Associate, you'll lead the development of Salesforce Marketing Cloud solutions, mentor junior members, analyze complex problems, and build strong client relationships while ensuring high-quality standards.

The Senior Data Solutions Developer will build and maintain data warehousing solutions, automate data pipelines, and ensure data consistency for business insights.

The Director of Business Intelligence & Data Strategy will transform data organization, lead AI-first data strategy, establish governance, and influence executive leadership for measurable business impact.

The Knowledge Systems Architect will design systems for knowledge organization, automate documentation processes, and enhance knowledge artifact legibility to support AI effectiveness in the R&D environment.

The SI Business Analyst will drive integration between business needs and technical delivery, focusing on insurance and healthcare systems. Responsibilities include capturing requirements, performing gap analysis, designing workflows, and leading cross-functional teams to optimize system performance and support digital transformation initiatives.

The Data Analyst will perform analytics to support client deliverables, automate processes, and partner with product teams to enhance solutions.

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.

The role involves building large, scalable analytics pipelines, defining data models, integrating data, and collaborating on data architecture and strategies.

The Senior Data Center Administrator is responsible for data center operations including inventory management, logistics, vendor coordination, and capacity planning. The role requires technical expertise and strong communication skills to ensure efficient data center environments across multiple locations.

Lead Pager Health’s enterprise data and reporting strategy, build a centralized data and reporting shared services function, own internal dashboards and client-facing analytics, partner with Product and Engineering on data architecture and governance, mentor data teams, prioritize and deliver data initiatives, and drive continuous improvement in tooling, automation, and data storytelling to support growth, efficiency, and client outcomes.