Product Manager: Semantic Data & AI Platform

Geico

Richardson (TX)

Sur place

USD 95 000 - 158 000

Plein temps

14 jours+

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Résumé du poste

GEICO in Richardson, Texas is seeking a customer-focused Product Manager to lead the development of an enterprise semantic and ontology layer that standardizes metrics and enables trusted analytics across BI tools, data products, and AI experiences.

You will translate complex business and technical requirements into platform capabilities, collaborate with engineering, data, and governance teams, and define success metrics like adoption and AI answer quality.

Qualifications

  • 5+ years of product management experience in data, analytics, AI, or internal platforms.
  • Experience turning complex business and technical requirements into clear product requirements, roadmaps, and user-focused capabilities.
  • Strong collaboration with engineering, data, governance, and business stakeholders on technically complex products.

Responsabilités

  • Define and drive the product vision and roadmap for a semantic and ontology layer that supports self-service analytics, BI, and AI use cases.
  • Partner with engineering, data architecture, and analytics teams to deliver governed semantic layer capabilities.
  • Support natural language analytics and AI-powered data experiences by grounding user questions in trusted semantic context.

Connaissances

Product management
Data modeling
AI concepts
Communication
Stakeholder mgmt

Formation

Bachelor's degree in CS / Engineering / IS
MBA or MS preferred

Outils

Cloud data warehouses
Knowledge graphs
BI tools

Description du poste

GEICO in Richardson, Texas is seeking a customer-focused Product Manager to lead the development of an enterprise semantic and ontology layer that standardizes metrics and enables trusted analytics across BI tools, data products, and AI experiences.

You will translate complex business and technical requirements into platform capabilities, collaborate with engineering, data, and governance teams, and define success metrics like adoption and AI answer quality.

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