Top Tech Jobs & Startup Jobs in Austin, TX

As a Lead Data Architect, you'll design enterprise-grade data platforms, ensuring compliance, scalability, and guiding teams in data modeling and governance.

Lead cost savings and impact modeling, develop actuarial methodologies, oversee analytics projects, partner with teams on data requirements, and assess financial impacts of new programs.

The Senior Operational Transformation Analyst drives strategic changes by assessing operations, managing compliance risks, improving processes, defining metrics, and supporting implementation of initiatives through collaboration and insights.

The Senior Actuarial Support Analyst will analyze healthcare data, produce client-facing reports, and present insights to stakeholders. The role involves collaboration with various teams to improve customer value and reporting accuracy.

The Strategic Operations Analyst drives operational improvements through data-driven insights, process improvements, and compliance management, collaborating with product, compliance, and operational teams.

As a Clinical Content Analyst, you will manage clinical policy updates, coordinate client communications, and conduct policy analyses while ensuring compliance with healthcare regulations.

This role involves crafting clear, patient-facing communications regarding adverse determinations, ensuring regulatory compliance while collaborating with clinicians and policy experts. The position focuses on enhancing health literacy and communication standards in a clinical environment.

The Lead Analytics Engineer will design and implement data models, standardize semantic layers, enhance data quality, and mentor other engineers while ensuring compliance with healthcare standards.

The Senior Healthcare Analyst will analyze healthcare data, provide insights to improve clinical programs, and collaborate with multidisciplinary teams to drive program effectiveness and optimize patient outcomes.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.