Director of AI & Data Science, Generative AI Leader

USAA Life Insurance Company

United States

Hybrid

USD 200,000 - 280,000

Full time

3 days ago
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Job summary

USAA Life Insurance Company seeks a Director of Data Science to lead enterprise AI transformation using Generative AI, LLMs, and autonomous agent ecosystems. You will architect scalable platforms and guide a high-performing team of AI/Data Scientists and engineers in a fast-paced environment.

You will collaborate with Enterprise Architecture and IT to deploy modern AI infrastructure while ensuring governance, risk management, and regulatory compliance across models and workflows.

Qualifications

  • 8+ years in machine learning, AI development, or data science with production deployments.
  • 3+ years leading technical teams in fast-moving environments.
  • Proven ability to design scalable, enterprise AI platforms.

Responsibilities

  • Lead enterprise AI strategy leveraging generative AI, LLMs and autonomous agent workflows.
  • Direct and empower a team to build scalable LLM apps and pipelines in agile settings.
  • Architect and guide production-ready AI solutions from ideation to cost-efficient inference.
  • Partner with Enterprise Architecture and IT to establish modern AI infrastructure and tooling.
  • Ensure AI governance, risk management, and regulatory compliance across models and workflows.

Skills

Leadership
Executive communication
Strategic agility
Cross-enterprise impact
Team building

Education

Master's or PhD in CS/AI/Data Science

Tools

LangChain
LlamaIndex
Vector databases
Prompt engineering

Job description

USAA Life Insurance Company seeks a Director of Data Science to lead enterprise AI transformation using Generative AI, LLMs, and autonomous agent ecosystems. You will architect scalable platforms and guide a high-performing team of AI/Data Scientists and engineers in a fast-paced environment.

You will collaborate with Enterprise Architecture and IT to deploy modern AI infrastructure while ensuring governance, risk management, and regulatory compliance across models and workflows.

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