Hiring: Product Manager, Self-Service Data Platform Company: GEICO Location: Richardson, TX Job Posted Time: 2026-09-10 11:50:15 Target Skills & Keywords : Accessibility, Apache, Data Mesh, Data Warehouse, Jupyter, Jupyter Notebook, LLM, Product Management, Product Strategy, Stakeholder Management About the job Experience: •5+ years of product management experience building data, analytics, AI, developer tooling, or internal platform products. Required Skills: •Actively facilitate and support 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. Qualifications: •In-depth knowledge of modern data architectures, data modeling, BI concepts, cloud data ecosystems, query engines, compute frameworks, APIs, SDKs, or platform integration patterns. •Proven ability to work closely with engineering, data, analytics, governance, security, and business stakeholders on technically complex products. •Solid functional working knowledge of semantic layers, governed metrics, metadata, ontology concepts, or business glossary practices as enabling capabilities within a broader data platform. •Solid functional 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. •Excellent communication, stakeholder management, prioritization, collaboration, and problem-solving skills. •Exposure to semantic models, metrics layers, ontology modeling, knowledge graphs, metadata management, lineage, catalog, or governance tools. •Operational familiarity with lakehouse architectures, cloud data warehouses, distributed data systems, or enterprise BI ecosystems. •Previous experience as a software engineer, data engineer, analytics engineer, or technical platform practitioner. •Bachelor’s degree in Computer Science, Engineering, Information Systems, or related technical field required. Compensation: •$95,325 - $157,850 / year •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!