Senior Staff AI Program Manager

GEICO•Bethesda, MD

About The Position

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.

Requirements

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

Nice To Haves

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.

Responsibilities

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.
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.
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.
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.
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.