GEICO is looking for a customer-obsessed and results-oriented Product Manager tohelp drive the development of an enterprisesemantic andontologylayer.This role willsupport product direction for a governed semanticandontologylayer that standardizes business metrics,modelsdomain concepts, and enables trusted analytics across BI tools, data products, and AI-powered experiences.

The ideal candidate thrives at the intersection ofproduct management,dataplatform, analytics, andAI, and can translate complexbusiness and technicalrequirements into intuitiveplatform capabilities that improvedatatrust, self-service analytics, and cross-datadomain interoperability.

Key Responsibilities

• Help define and drive the product vision and roadmap for asemanticandontologylayerthat supportsself-serviceanalytics, BI, and AI use cases.

• Translate business needs into standardized metric definitions, semantic models, domain concepts, and relationships that can scale across enterprise data domains.

• Partner with engineering, data architecture, and analytics teams to deliver governed semantic layer capabilities that improve consistency, trust, and usability of enterprise data.

• Support natural language analytics and AI-powered data experiences by grounding user questions and AI agents intrustedsemantic andontologycontext.

• Collaborate with business stakeholders and domain experts tovalidatemetric definitions, align business terminology, and prioritize high-value use cases.

• Define and track product success metrics including adoption, metric consistency, discoverability, self-service usage, and AI answer quality.

• Drive adoption of semantic andontologycapabilities across BI tools, data products, analytics workflows, and AI-enabled experiences.

Qualifications

Required

• 5+ years of product management experience building data, analytics, AI, or internal platform products.

• Strong understanding of data modeling, business metrics, semantic layers, BI concepts, or governed analytics experiences.

• Experience translating complex business and technical requirements into clear product requirements, roadmaps, and user-focused capabilities.

• Proven ability to work closely with engineering, data, analytics, governance, and business stakeholders on technically complex products.

• Working knowledge of AI/ML and generative AI concepts, including LLM capabilities and limitations, natural language query, prompt design, evaluation, and responsible use of AI in governed data environments.

• Experience using AI-powered tools to boost product management productivity and collaboration while adhering to data privacy, security, and governance requirements.

• Excellent communication, stakeholder management, prioritization, and problem-solving skills.

Preferred

• Experience with semantic layers,metricslayers, headless BI, or governed analytics platforms.

• Exposure toontologymodeling, knowledge graphs, or cross-domain data modeling.

• Familiarity with data catalog, metadata management, lineage, or governance tools.

• Familiarity with modern data platforms such as cloud data warehouses,lakehousearchitectures, or enterprise BI tools.

• Experience in regulated industries such as insurance or financial services.

Education

• Bachelors degree in Computer Science, Engineering, Information Systems, or related technical fieldrequired.

• MBA, MS, or equivalent experience preferred.