Senior Product Manager - Metadata Intelligence

GEICO•Bethesda, MD

1d•$146,575 - $229,600

About The Position

The Senior Product Manager — Metadata Intelligence will own the product strategy, roadmap, and execution for GEICO’s metadata platform and IntentIQ. This role is responsible for ensuring that enterprise metadata is complete, trusted, searchable, and usable by both employees and AI-powered experiences. You will define how GEICO captures what data means, where it lives, who owns it, how it is used, and how it should be ranked or retrieved in business and AI workflows. You will partner across product, engineering, governance, analytics, AI/ML, and domain steward teams to turn metadata into a strategic enterprise asset. This is a high-impact platform product role at the intersection of data catalog, metadata management, enterprise search, governance, usage analytics, and AI retrieval. The ideal candidate combines strong product judgment, technical depth, stakeholder leadership, and a clear bias toward measurable adoption and business value. Key mandate: Build the metadata intelligence foundation that enables employees to find trusted data faster, helps stewards improve metadata quality at scale, and gives Compass AI the context required to answer business questions accurately.

Requirements

7+ years of product management experience
Demonstrated experience with metadata management, data catalogs, business glossaries, or enterprise search — not just consumer search
Track record of driving adoption with internal platform users — not just shipping features
Experience defining product requirements for AI/ML-enabled capabilities such as metadata enrichment and semantic search
Demonstrated ability to lead product execution across multiple engineering teams or organizational boundaries through influence, clear prioritization, and strong 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

Nice To Haves

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

Responsibilities

Set the product vision, roadmap, and success measures for Metadata Intelligence, including the Data Catalog, metadata platform, enterprise search, business glossary, steward workflows, and IntentIQ
Prioritize work across discovery, metadata quality, search relevance, stewardship, and usage intelligence based on user needs, business value, and platform readiness
Partner with engineering, analytics, governance, and AI teams to define clear product requirements that improve data discovery, trust, and AI-powered answer quality
Write clear product requirements, success metrics, and acceptance criteria for Data Catalog, metadata, search, steward workflow, and IntentIQ capabilities
Lead IntentIQ from early concept to production by defining target users, priority use cases, quality standards, launch criteria, and adoption goals
Work closely with data stewards, data owners and data product managers to improve metadata completeness, asset quality, and adoption across priority enterprise domains
Partner with the Compass AI Product Manager to define the trusted knowledge base and quality measures Compass AI needs to deliver accurate, relevant answers
Partner with product and governance stakeholders to align metadata standards, certification requirements, access controls, and classification needs
Conduct regular user research and steward engagement to understand pain points, validate priorities, and drive continuous product improvement
Track and communicate progress through outcome-oriented metrics such as catalog adoption, search success, metadata quality, steward engagement, IntentIQ usage, and reuse of trusted assets