Product Manager, Self-Service Data Platform

Product Manager For Data Platform

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge:
Great Company, Great Culture, Great Rewards, and Great Careers.

GEICO is looking for a customer-obsessed and results-oriented Product Manager to support our Data Platform. This role will help drive product direction for data platform services, tools, and experiences that enable trusted data products, scalable analytics, AI-powered workflows, and a practical data mesh architecture.

The ideal candidate thrives at the intersection of product management, data platforms, analytics, and AI, and can translate complex business and technical needs into platform capabilities that improve data trust, self-service analytics, data practitioner productivity, and cross-domain interoperability.

• Support the product vision, roadmap, and execution for data platform services, tools, and capabilities that enable trusted data consumption, analytics, AI/ML workflows, and data product adoption.
• Translate business and technical needs into clear product requirements, prioritized roadmaps, and user-focused capabilities for data producers, consumers, analysts, and AI-enabled experiences.
• Partner with engineering, data architecture, governance, analytics, and business stakeholders to deliver platform capabilities that improve data accessibility, reliability, usability, security, performance, and compliance.
• Use semantic layer and ontology concepts as part of the broader data platform strategy to improve shared business terminology, metric consistency, domain relationships, and cross-domain interoperability.
• Help enable natural language analytics and AI-powered data experiences by grounding user questions and AI agents in trusted metrics, metadata, semantic context, and governed data definitions.
• Drive adoption through stakeholder engagement, customer roadshows, training, documentation, and feedback loops that connect platform capabilities to business value and user outcomes.
• Define and track product success metrics including adoption, self-service usage, discoverability, data trust, platform reliability, productivity gains, and AI answer quality.
• Stay informed on modern data platform trends, cloud data ecosystems, query engines, compute frameworks, BI tools, and AI-enabled analytics patterns to inform product strategy.

Required

• 5+ years of product management experience building data, analytics, AI, developer tooling, or internal platform products.
• Strong understanding of modern data architectures, data modeling, BI concepts, cloud data ecosystems, query engines, compute frameworks, APIs, SDKs, or platform integration patterns.
• Experience translating complex business and technical requirements into clear product requirements, roadmaps, user stories, and measurable outcomes.
• Proven ability to work closely with engineering, data, analytics, governance, security, and business stakeholders on technically complex products.
• Working knowledge of semantic layers, governed metrics, metadata, ontology concepts, or business glossary practices as enabling capabilities within a broader data platform.
• Working knowledge of AI/ML and generative AI concepts, including LLM capabilities and limitations, natural language query, evaluation, and responsible use of AI in governed data environments.
• Experience using instrumentation, telemetry, observability, customer feedback, and product analytics to make data-driven product decisions.
• Excellent communication, stakeholder management, prioritization, collaboration, and problem-solving skills.

Preferred

• Experience with data analytics…