Senior Staff AI Program Manager

Why Join GEICO?

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 on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. 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.

About the Role

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, scalability, 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, and continuous learning.
• Ensure scalability and repeatability through documentation, operationalization strategies, and post-deployment evaluations.

Stakeholder Alignment & Cultural Readiness

• Act as a trusted advisor to executive and senior leaders-- translating platform strategy and AI technical concepts into clear business outcomes and decision frameworks.
• Align AI platform team execution and consuming emerging AI application teams around shared priorities, sequencing, and expectations.
• Build organizational understanding of platform value, tradeoffs, and best practices, enabling teams to leverage platforms effectively.

Technology Innovation & Ecosystem Integration

• Continuously evaluate, pilot, and integrate emerging AI technologies, platforms, and tools that accelerate our innovation edge.
• Establish partnerships with vendors, academia, and open-source communities to stay at the forefront of AI advancement.

Qualifications

Technical & Strategic Expertise

• 10+ years of experience leading large-scale enterprise technology or platform portfolios.
• Demonstrated, in-depth expertise in enterprise platforms — including developer platforms, cloud infrastructure, shared services, APIs, data platforms, and core enterprise systems.
• Ability to engage deeply with architecture and engineering leaders while maintaining a business- and outcome-oriented perspective.

Leadership & Execution

• Proven track record delivering complex, high-impact initiatives in cross-functional enterprise settings.
• Exceptional program management skills—adept at managing ambiguity, dependencies, and risk while driving measurable outcomes.
• Strong influence and stakeholder management skills—able to align and motivate teams across tech, business, and compliance functions.

Agility & Innovation

• Deep experience with agile, lean experimentation and iterative delivery models applied to platform and enterprise-scale initiatives, ideally with AI/data-driven environments.
• Strong change agent with a passion for improving how teams build, operate, and scale technology with a passion for driving organizational transformation through AI.
• Comfortable operating in ambiguity while driving clarity, structure, and measurable outcomes.

Communication & Visualization

• Exceptional written and verbal communication skills—able to articulate complex technical topics to non-technical audiences and executive stakeholders.
• Proficiency in building and presenting AI dashboards, roadmaps, and impact stories using tools like PowerBI, Tableau, or internal data visualization platforms.

Preferred Experience & Certifications

• Experience with GenAI, LLMOps, vector databases, and AI agents with enterprise use cases and enterprise applications.
• Familiarity with enterprise AI platforms (Databricks, Vertex AI, AWS Bedrock, Azure OpenAI, etc.).
• Certifications: SAFe Program Consultant (SPC), PMI-PgMP, AI Product Manager (e.g., from DeepLearning.AI), or Responsible AI certifications.

Education

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or related field required.

Annual Salary

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.

The GEICO Pledge:

Great Company: Protecting customers through life’s twists and turns with innovation and integrity.

Great Careers: Personalized development programs, mentorship, and certification assistance.

Great Culture: Inclusive and collaborative culture rooted in shared success.

Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.