Senior Manager - AI
About The Position
Lead GEICO’s AI roadmap and delivery of secure, scalable AI solutions that improve decision-making, streamline workflows, and create measurable business value. The role combines people leadership with hands-on technical expertise to move AI concepts from experimentation into reliable production use. The Senior Manager will prioritize AI use cases with business leaders, develop AI engineers and analysts, guide AI assistants and agentic workflows from discovery through deployment, and partner across data, technology, analytics, and risk functions. The role also drives adoption and measures business impact, user experience, productivity, reliability, and cost.
Requirements
- Demonstrated leadership of AI, software engineering, or data science teams and cross-functional delivery.
- Track record of taking AI solutions beyond proof of concept into supported production environments.
- Strong stakeholder management, executive communication, coaching, and change-management skills.
- Strong hands-on Python development skills for AI applications, data processing, APIs, and automation, including the ability to review production-quality code.
- Experience building tool-enabled agents and orchestrated workflows, including state management, enterprise integrations, and human-in-the-loop controls.
- Working knowledge of large language models, prompt design, retrieval-augmented generation (RAG), embeddings, and vector search.
- Experience with SQL, REST APIs, Git, automated testing, CI/CD, and monitoring; experience evaluating AI quality, safety, reliability, latency, and cost.
- Practical understanding of data privacy, access controls, auditability, model limitations, and risk-appropriate safeguards.
Nice To Haves
- Experience with cloud AI platforms and agent orchestration frameworks.
- Familiarity with Microsoft Azure, Microsoft Fabric, Snowflake, and AI-assisted development tools such as GitHub Copilot or Cursor.
Responsibilities
- Own the AI roadmap and prioritize use cases with business leaders based on value, feasibility, and risk.
- Lead and develop AI engineers and analysts; establish clear delivery, quality, and engineering standards.
- Guide AI assistants, agentic workflows, and decision-support solutions from discovery and pilot through deployment and continuous improvement.
- Partner with data engineering, analytics, technology, and risk teams to ensure trusted data, appropriate controls, and clear human accountability.
- Drive adoption and measure outcomes across business impact, user experience, productivity, reliability, and cost.
Benefits
- Personalized development programs, mentorship, and certification assistance.
- Competitive pay, benefits, and flexibility to support well-being and future.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
