Senior Staff AI Program Manager

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. 

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. 

When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.

Position Summary 

We are seeking a visionary and execution-focused Senior Staff AI Program Manager to lead and scale our core enterprise AI platform initiatives. This role sits at the intersection of platform strategy, portfolio governance, technology delivery, and cross-functional execution. You will own the definition, orchestration, and continuous evolution of our AI platform roadmap -- ensuring alignment with business goals, architectural standards, risk and compliance requirements, emerging technology adoption and long-term scalability. 

You will partner closely with senior leaders across AI, Engineering, Architecture, Product, Security, Legal, Risk, Finance, and Operations to translate enterprise strategy into actionable outcomes. You will oversee a portfolio of high-impact platform programs that enable product teams, accelerate delivery, and strengthen the foundation of our enterprise technology ecosystem. 

Key Responsibilities 

Strategic AI Platform Leadership 

• Guide the enterprise AI platform strategy and roadmap, balancing foundational investment, scal,ability, developer enablement, cost efficiency, and business value. 

• Lead cross-functional platform planning, intake, prioritization, and sequencing ensuring alignment across domains and dependent teams.  

• Oversee platform investment and funding governance, ensuring spend aligns to strategic outcomes, architectural direction, and measurable value realization.  

• Partner with AI, Architecture and Application leadership to ensure AI platform decisions support reuse, interoperability, and advancing technical factors 

 Performance, Impact & Ethical AI Governance 

• Facilitate and maintain platform KPIs and success metric development, such as adoption, reliability, resiliency, developer experience, time-to-market, cost efficiency, and operational health.  

• Implement robust monitoring and reporting frameworks to track the impact, health, and business value of AI initiatives. 

• Partner with Legal, Risk, and Compliance teams to integrate AI governance, fairness, and transparency into program delivery. 

 Program Execution & Delivery Excellence 

• Drive execution of complex, multi-team enterprise platform programs, managing dependencies, risks, milestones, and change across engineering, product, and operations.  

• Champion agile, iterative, and experimental delivery methods tailored for AI/ML, emphasizing rapid prototyping, data-centric validation