GEICO

Adjuster

• Handle complex auto damage claims using technical and industry knowledge
• Promptly and accurately settle claims
• Deliver excellent customer service
• Work in the Charlotte, NC territory
• Flexibly work remotely, in the field, or in an office as required

Auto Damage Adjuster – Field

Software Engineer

• Develop robust associate-facing applications to enable business analytics, streamline internal processes, and drive business decisions
• Work closely with Business Partners, Infrastructure Engineers, DevOps, and IT Security
• Translate business requirements into technical design specifications for application system changes and new application systems
• Code, debug, test, and document applications
• Create, execute, and evaluate test plans for application systems
• Configure servers
• Research and implement software, services, and platforms to promote application-development best practices
• Create plans for project tasks
• Provide system training to team members as needed

Business Applications Developer

Analytics Engineer

• Lead design and delivery of interactive, production-grade dashboards using Looker, Mode, Tableau, Metabase, Power BI, or equivalent tools
• Own semantic data models and metrics, including events, user cohorts, funnels, and retention
• Design, implement, and maintain ETL/ELT pipelines using dbt, Airflow, Beam, or equivalent tools
• Partner with product and engineering teams to define event schemas, validate data quality, and implement monitoring and alerting for metric regressions
• Serve as a trusted analytics partner to product managers, designers, and engineers
• Translate product questions into analytics requirements and deliverables
• Optimize queries, dashboards, and pipelines for performance and cost at scale
• Mentor junior analysts and engineers
• Define standards for metrics, documentation, and reproducible analyses
• Provide quantitative support, market understanding, and strategic perspective to organizational partners
• Make critical recommendations for Engineering and Product Management

Staff Analytics Engineer – Product

Analyst

• Prepare and review statistical exhibits for analyses and projections
• Prepare and review statistics for internal management information reports covering marketing, sales, competitive, and loss information
• Complete product development packages and analyze large, complex datasets to develop product changes
• Develop and implement favorable business solutions
• Maintain, update, redesign, and develop data and information sources
• Check and balance data sources for reasonability
• Organize and analyze data using R, Python, SAS, Excel, SQL, and other modeling tools
• Assist new analysts with updating predictive models, reports, and data pulls
• Create new models, reports, and data pulls
• Present analytical observations to supervisors and department staff
• Perform specialized research using advanced analytical techniques
• Lead and provide expertise to Research and Development associates on new and complex analyses
• Automate processes to improve department efficiency
• Design data requirements, test databases, and create experience reports
• Coordinate with IT on requested systems changes
• Act as a subject matter expert in at least one area
• Investigate new data sources and tools for analysis
• Manage complex data pulls and large dataset extractions
• Conduct analytical projects supporting mid- to high-level business problems or product features
• Employ basic statistical techniques to model business practices
• Take ownership of low-complexity business problems, plan items, and product features
• Develop and conduct training sessions for the Research and Development unit

Lead Research and Development Analyst

Product Marketing

• Review the online funnel end-to-end, from ad click through completed application, to identify gaps, drop-off points, and conversion opportunities
• Analyze site, funnel, and business performance using analytics tools and operational data
• Identify trends, diagnose root causes, and distinguish experience, traffic quality, and execution issues
• Communicate expected impacts of marketing investment changes on site metrics
• Analyze traffic composition and on-site behavior by paid search, paid social, affiliate, and organic channels
• Translate channel-level spend and traffic characteristics into site performance benchmarks
• Propose experience optimizations based on traffic-source behavior
• Partner with Marketing Analytics and channel owners on campaign optimization and traffic-mix impacts
• Partner with SEO/AEO teams on content, structure, technical performance, and discoverability
• Analyze landing-page performance and identify messaging, layout, or performance barriers
• Partner with Creative and Engineering to test and refine landing pages
• Make copy, imagery, and page-level layout updates directly in the CMS
• Design, scope, prioritize, monitor, and report on funnel and conversion experiments with Engineering
• Use Power BI or similar dashboards to monitor funnel health, traffic, SEO/AEO, and experiment status
• Use SQL, Snowflake, or similar platforms to construct BI reports and uncover conversion gaps
• Identify martech, tagging, tracking, and data-flow measurement gaps and partner on fixes
• Communicate insights and recommendations to leadership
• Connect Analytics, channel owners, Engineering, Creative, SEO/AEO, and Product Marketing to align optimization plans

Digital Marketing Manager – Product Marketing

General Counsel

• Defend lawsuits filed in Pennsylvania courts
• Handle other first-party insurance defense matters
• Research laws and prepare legal briefs, opinions and memoranda
• Render opinions on liability, damages and value as requested by the Claims Department
• Prepare and handle pleadings, motions and discovery
• Handle depositions/examinations before trial and examinations under oath
• Defend assigned matters by trial or dispositive hearing, as applicable
• Travel to trials, hearings, depositions, management meetings and conferences as required

Associate Counsel

Data Analyst

• Lead design of complex financial data models and analytics
• Partner with Finance, Product, and Technology stakeholders on transformation initiatives
• Establish best practices for reporting, validation, and documentation
• Mentor Analyst I and II team members
• Proactively identify data gaps, risks, and improvement opportunities
• Respond to ad hoc financial data and reporting requests, ensuring accuracy, consistency, and timely delivery
• Evaluate, streamline, and optimize manual processes and legacy reporting to improve efficiency, data integrity, and scalability
• Act as a liaison between finance, business operations, and technology teams to address evolving business challenges and enable effective data solutions
• Operate with high autonomy and make recommendations that influence priorities and approaches
• Anticipate issues and resolve them proactively

Finance Data Analyst

• Collaborate with cross-functional teams to design, enhance, and maintain financial data architectures
• Propose improvements to streamline data processing, storage, and retrieval
• Ensure compliance with data privacy regulations
• Understand emerging capabilities and be forward thinking regarding their deployment and internal use
• Ensure data availability, reliability, scalability, and performance
• Ensure processes can meet risk management control guidelines
• Engage with stakeholders to understand business requirements and translate them into architectural solutions
• Assess business needs, identify data solutions, and enable confidence in data quality and governance

Finance Data Analyst II

Product Manager

• Define and articulate the IVR and conversational AI product vision, strategy, and roadmap
• Lead cross-functional teams through the entire product lifecycle from concept to launch and beyond
• Conduct market research, competitive analysis, and customer interviews
• Drive the design and implementation of intuitive voice flows to maximize self-service containment and customer satisfaction
• Prioritize features and initiatives based on customer feedback, business impact, and technical feasibility
• Collaborate with organizational stakeholders to align on voice strategy and drive consensus
• Monitor IVR performance metrics and analyze containment rates
• Iterate on conversation flows to optimize user experience and business outcomes
• Partner with Technology leaders to influence voice platform architecture
• Drive secure, resilient, and scalable conversational AI solutions
• Oversee comprehensive IVR analytics and data-driven improvements
• Drive integration of natural language processing, voice biometrics, and AI-powered intent recognition
• Monitor insurance industry evolution, voice technology innovation, competitor implementations, market trends, and consumer preferences

Senior Product Manager – IVR, Conversational AI

Manager

• Identify and pitch high-authority publications, ratings bodies, databases, and directories used by large language models
• Ensure GEICO’s core entity attributes are accurate and consistent across external sources
• Secure linked and unlinked brand mentions in high-trust third-party consensus sources
• Build and maintain GEICO representation across Reddit, Quora, and industry forums
• Monitor sentiment and factual accuracy and correct misrepresentation through appropriate disclosed channels
• Partner with community outreach and publisher networks to place factual, structured information
• Develop assets, data points, and proof points that make GEICO easy to cite accurately
• Coordinate with Content and Web Development on schema markup, structured data, and on-site entity signals
• Manage GEICO’s presence in Wikidata, business databases, and profile records
• Resolve conflicting or outdated entity data
• Track citation share, share of voice, source-level mention frequency, and sentiment by line of business
• Build recurring readouts connecting outreach activity to AI visibility
• Deliver findings-forward reporting to senior leadership
• Analyze competitors’ citation sources and create a prioritized outreach roadmap
• Manage outreach agency partners, including scope, quality standards, source guardrails, performance reviews, and budget tracking
• Collaborate with SEO, Content Strategy, Brand, Legal, Product, and Corporate Communications
• Build source qualification criteria, pitch frameworks, outreach tracking, escalation paths, and scalable playbooks
• Report to the Director of Marketing Strategy, SEO

Outreach Manager

Content Writer

• Create and deliver high-quality strategic copy for GEICO’s Commercial Insurance business, including landing pages, blog posts, and long-form SEO articles
• Use AI-powered tools to streamline content creation, generate ideas, and optimize outputs while maintaining GEICO’s brand voice
• Develop content using traditional SEO, GEO, and AEO strategies
• Optimize content for voice search, answer engines, and modern search intent
• Track, analyze, and report on Commercial Insurance SEO content performance
• Review and refine AI-generated content for tone, consistency, effectiveness, brand, quality, SEO, GEO, and AEO standards
• Monitor Google algorithm updates, AI advancements, and commercial insurance SEO trends
• Improve content workflows by refining AI prompts, developing reusable frameworks, and establishing structured processes
• Ensure content follows GEICO brand guidelines, voice, and messaging standards
• Collaborate with Marketing, Product, designers, marketers, SEO specialists, and cross-functional teams on content planning and execution
• Test content ideas, gather insights, and implement scalable solutions to drive business growth
• Coordinate online article and digital content creation and publication
• Manage workflows, upload content to the internal CMS when needed, and ensure timely delivery
• Report to the Director of Marketing Strategy, SEO

SEO & AI Search Content Writer – Commercial Insurance

Artificial Intelligence

• Build and manage a team of AI governance professionals
• Lead and enhance GEICO’s model and AI governance program, including frameworks, policies, and processes
• Address emerging AI risks in alignment with regulatory requirements and industry best practices
• Partner with business leaders, technology teams, and legal and compliance stakeholders to embed responsible AI practices
• Facilitate cross-functional collaboration and ensure AI initiatives have appropriate risk controls
• Oversee and maintain a comprehensive model and AI inventory throughout the model lifecycle
• Assess and monitor AI-related risks and provide risk mitigation guidance and controls
• Advise on AI system review processes and perform risk assessments
• Facilitate committees and forums for transparency, collaboration, and accountability
• Enhance and deliver communication and training on responsible AI use and governance requirements
• Perform controls monitoring and testing to evaluate model performance
• Support audits, regulatory inquiries, and internal assessments

Senior Director, Model and AI Review

Director

• Own the enterprise strategy, governance, operating model, and transformation of the Associate Relations function
• Define and execute a multi-year Associate Relations strategy and roadmap aligned with GEICO's Associate Value Proposition, culture, business objectives, and workforce needs
• Evolve the operating model across organizational design, governance, processes, decision rights, service standards, and escalation pathways
• Modernize capabilities through technology, analytics, process improvement, and scalable frameworks
• Use associate concerns, investigations, feedback, and workforce data to identify trends, risks, root causes, and opportunities
• Translate qualitative and quantitative insights into actionable recommendations and sustainable solutions
• Monitor organizational health and strengthen trust, engagement, accountability, leadership effectiveness, and workplace experience
• Advise executives and senior leaders on workplace concerns, leadership effectiveness, organizational risk, culture, and associate experience
• Represent Associate Relations in executive discussions, transformation initiatives, and working groups
• Build partnerships across Legal, Compliance, Operations, Communications, HR Business Partners, HR Operations, and the broader People Group
• Establish and oversee enterprise standards and decision frameworks for investigations, workplace concerns, policy interpretation, corrective action, and related processes
• Partner with Legal and Compliance to identify and mitigate workforce-related risks
• Lead and develop a high-performing Associate Relations leadership team
• Build manager and organizational capability through quality standards, coaching, and development frameworks
• Foster innovation, operational discipline, and continuous improvement
• Partner across Associate Experience functions to identify and address systemic issues across the associate lifecycle
• Support efforts to improve engagement, trust, retention, leadership effectiveness, cultural health, and operational consistency
• Help shape the long-term Associate Experience strategy and champion balanced solutions

Senior Director, Associate Relations

• Own product strategy, roadmap, and execution for GEICO’s metadata platform and IntentIQ
• Define how employees discover, browse, filter, and understand trusted data assets
• Improve the Data Catalog experience and expand high-value data assets
• Define how metadata is captured, organized, improved, and used across GEICO
• Establish metadata standards and improve enterprise search using business language
• Own the business glossary experience and steward tools and workflows
• Drive metadata completeness, accountability, and quality across priority domains
• Define how business questions, trusted metrics, dashboard logic, and frequently used data assets become reusable context in IntentIQ
• Establish quality standards and review workflows for analytical knowledge
• Connect official business metric definitions to supporting reports, dashboards, and data assets
• Use IntentIQ insights to improve discovery, reduce duplicate analysis, and help employees find trusted answers faster
• Ensure IntentIQ provides Compass AI with reliable business context
• Set product vision, success measures, requirements, metrics, and acceptance criteria
• Lead IntentIQ from concept to production
• Partner with engineering, analytics, governance, AI/ML, product, data stewards, data owners, and business teams
• Conduct user research and steward engagement
• Track and communicate outcome-oriented metrics including catalog adoption, search success, metadata quality, steward engagement, IntentIQ usage, and trusted-asset reuse

Senior Product Manager – Metadata Intelligence

• Develop statistical methods and procedures to ensure data validity, applicability, efficiency, and accuracy
• Design and develop data sampling techniques and statistical methods to solve business and technical problems
• Address business user needs and answer business and research questions
• Determine whether statistical methods are appropriate based on user needs or research questions
• Develop and manage software applications or programming for statistical modeling and graphic analysis
• Manage analysts updating predictive models, reports, and data pulls
• Consult on creation of new models, reports, and data pulls
• Draw insights and make recommendations based on assigned analyses and team projects
• Serve as a subject matter expert in multiple areas
• Advance modeling techniques and available hardware/software big data solutions
• Respond to ad-hoc requests
• Prepare department business plans, staffing projections, and budgets
• Requisition supplies and materials and review budgets for cost reduction
• Interview and/or approve job applicants
• Conduct and/or review performance appraisals
• Initiate or approve salary adjustments, performance ratings, and personnel changes
• Counsel associates and take disciplinary action or terminate employment as appropriate
• Supervise and instruct workers on data collection, processing, tabulation, and statistical data interpretation
• Manage large amounts of data processing for statistical modeling and graphic analysis using computers