Product Manager, Semantic Data & AI Platform

Government Employees Insurance Company; Bethesda (MD); On-site; USD 95,000 - 158,000; Full time

Job summary

GEICO is seeking a Product Manager to lead the development of an enterprise semantic and ontology layer that standardizes metrics and enables trusted analytics across BI tools and AI experiences. You will translate complex business needs into intuitive platform capabilities, collaborating with engineering, data, analytics, and governance teams.

The role focuses on improving data trust, self-service analytics, and cross-domain interoperability, with emphasis on governance and responsible AI usage.

Qualifications

• 5+ years of product management experience building data, analytics, AI, or internal platform products.
• Strong understanding of data modeling, metrics, semantic layers, BI concepts.
• Experience translating complex business and technical requirements into clear product plans.

Responsibilities

• Help define and drive the product vision and roadmap for a semantic and ontology layer.
• Translate business needs into standardized metric definitions and semantic models.
• Partner with engineering, data architecture, and analytics teams to deliver governed semantic layer capabilities.
• Support natural language analytics and AI-powered data experiences with trusted context.
• Collaborate with stakeholders to validate metric definitions and priorities high-value use cases.
• Define and track product success metrics including adoption and AI answer quality.
• Drive adoption of semantic capabilities across BI tools and analytics workflows.

Skills

Product management

Data analytics

AI / ML concepts

Stakeholder management

Communication

Requirements translation

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, or related technical field

MBA, MS, or equivalent experience preferred

Job description

GEICO is seeking a Product Manager to lead the development of an enterprise semantic and ontology layer that standardizes metrics and enables trusted analytics across BI tools and AI experiences. You will translate complex business needs into intuitive platform capabilities, collaborating with engineering, data, analytics, and governance teams.

The role focuses on improving data trust, self-service analytics, and cross-domain interoperability, with emphasis on governance and responsible AI usage.