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GEICO

Senior Product Manager – Metadata Intelligence

GEICO

Senior Product Manager owning GEICO’s metadata intelligence, Data Catalog, and IntentIQ platform. Improving enterprise data discovery, governance, usage intelligence, and AI answer quality for a major auto insurer.

Posted 9/2/2026full-timeBethesda • Maryland • 🇺🇸 United StatesSenior💰 $146,575 - $229,600 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product management with a focus on metadata management, data catalogs, and enterprise search. Proven ability to drive adoption and improve data asset usability through effective stakeholder engagement and user research.

Highest-signal resume keywords
Product Management ExperienceMetadata ManagementData CatalogsSQL Query AnalysisStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Metadata ManagementData CatalogsBusiness GlossariesEnterprise SearchSQL Query AnalysisAI/ML Product RequirementsMetadata EnrichmentSemantic SearchPower BI MetadataUsage Analytics
Soft Skills
Stakeholder EngagementUser ResearchClear PrioritizationInfluence
Tools & Technologies
DataHubBI MetadataSQL-to-Natural-Language ProductsAnalytical Pattern Reuse
Industry Keywords
InsuranceFinancial ServicesRegulated IndustriesData Governance

Tech Stack

Tools & technologies
SQL

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 7+ years of product management experience
  • Demonstrated experience with metadata management, data catalogs, business glossaries, or enterprise search
  • Track record of driving adoption with internal platform users
  • Experience defining product requirements for AI/ML-enabled capabilities such as metadata enrichment and semantic search
  • Ability to lead product execution across multiple engineering teams or organizational boundaries through influence, clear prioritization, and stakeholder alignment
  • Strong stakeholder management across multiple business domains with competing priorities
  • Evidence of consistent user research and stakeholder engagement
  • Comfort with data governance concepts: certification, ownership, stewardship, domain boundaries, sensitivity
  • Experience with SQL query analysis, BI metadata, or usage analytics products
  • Experience with DataHub or comparable open-source / enterprise catalog platforms
  • Experience in insurance, financial services, or regulated industries
  • Background with usage-intelligence or query-log products: SQL-to-natural-language, analytical pattern reuse, knowledge inventory
  • Knowledge of Power BI metadata (DAX, M) or semantic layer / metric registry products
  • At this time, GEICO will not sponsor a new applicant for employment authorization for this position

Benefits

Comp & perks
  • Personalized development programs
  • Mentorship
  • Certification assistance
  • Competitive pay
  • Benefits
  • Flexibility to support your well-being and future
  • Hybrid work arrangement