This role pays less than
62%
of similar roles. Most pay
$177,250–$246,150
— the shaded band above.
At the midpoint, this role pays about
$195k
versus about
$212k
for comparable roles.
Based on 239 similar postings.
Employer
About GEICO
GEICO (Government Employees Insurance Company) is one of the largest auto insurers in the United States, offering affordable auto, home, renters, and other personal insurance products. Industry: Insurance
GEICO currently has
68 open roles
on FindRole.
Listed pay typically runs
$112,500–$230,000
across 68 roles with salary data.
The Senior Staff AI Program Manager leads and scales core enterprise AI platform initiatives at the intersection of strategy, governance, and technology delivery. This role involves defining the roadmap, orchestrating portfolio programs, and ensuring alignment with architectural standards, risk requirements, and business goals. The manager will oversee investment governance, manage multi-team dependencies, and implement monitoring frameworks to track performance metrics like reliability and cost efficiency. Key responsibilities include integrating ethical AI practices and fostering cross-functional collaboration across engineering, legal, and product teams. Required expertise includes experience with GenAI, LLMOps, vector databases, and platforms such as Databricks, Vertex AI, AWS Bedrock, or Azure OpenAI. The role requires proficiency in PowerBI or Tableau to visualize impact stories while managing complex programs within a large-scale enterprise technology ecosystem focused on accelerating innovation through automated systems.
Define and manage the enterprise AI platform roadmap to align with business goals and architectural standards.
Oversee investment, funding governance, and prioritization for high-impact AI portfolio programs.
Develop and monitor KPIs to track adoption, reliability, cost efficiency, and overall program health.
Integrate ethical AI governance, fairness, and transparency requirements into the delivery lifecycle.
Drive execution of complex multi-team projects by managing dependencies, risks, and agile development cycles.
Translate technical AI concepts into clear business outcomes for executive leadership and stakeholders.
Evaluate and integrate emerging AI technologies and tools to maintain a competitive innovation edge.
Create data visualizations and dashboards to communicate platform impact and progress to non-technical audiences.
What we're looking for
Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field.
10+ years of experience leading large-scale enterprise technology or platform portfolios.
In-depth expertise in enterprise platforms including developer platforms, cloud infrastructure, shared services, APIs, and data platforms.
Proven track record delivering complex initiatives in cross-functional settings with strong program management and stakeholder influence skills.
Experience with agile, lean experimentation, and iterative delivery models in AI/data-driven environments.
Proficiency in building and presenting AI dashboards and roadmaps using tools like PowerBI or Tableau.
Experience with GenAI, LLMOps, vector databases, and AI agents (preferred).
Familiarity with enterprise AI platforms such as Databricks, Vertex AI, AWS Bedrock, or Azure OpenAI (preferred); SAFe Program Consultant, PMI-PgMP, or AI Product Manager certifications (preferred).
Hybrid Cloud
Red Hat
Asset Management
Program Management
Infrastructure Projects
Facility Sustainment
Restoration, and Modernization
Government Programs
AI
LLM
ASIC
RTL Design
Simulation
Formal Verification
System Architecture
Scalable Infrastructure
Data Pipelines
Software Engineering
Program Management
Pre-silicon Workflows