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Senior Product Manager – Metadata Intelligence
GEICOSenior 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 fitCore 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
Tailor your resumeApplicant 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 & technologiesSQL
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