Geico

Product Manager, Enterprise Semantic and Ontology Layer

Geico$95K — $157K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in product management focused on data, analytics, or AI products.
  • Strong grasp of data modeling and BI concepts relevant to governed analytics.
  • Ability to translate complex business needs into effective product solutions.
  • Experience collaborating with diverse teams including engineering and business stakeholders.
  • Familiarity with AI/ML concepts and natural language processing in data contexts.
  • Skilled in using AI tools for improving product management practices.
  • Excellent communication and stakeholder management capabilities.

Responsibilities

  • Define and drive the vision and roadmap for a semantic and ontology layer.
  • Translate business needs into scalable metric definitions and semantic models.
  • Collaborate with engineering and analytics teams to enhance data usability.
  • Support natural language-driven data analytics and AI experiences.
  • Engage with stakeholders to validate metric definitions and prioritize use cases.
  • Measure product success through various adoption and usability metrics.
  • Promote usage of the semantic layer across analytics and BI tools.

Benefits

  • Comprehensive health and wellness plans.
  • Retirement savings plan with company match.
  • Generous paid time off and holidays.
  • Career development and training opportunities.
  • Employee discounts and perks.
Full Job Description
GEICO is looking for a customer-obsessed and results-oriented Product Manager to help drive the development of an enterprise semantic and ontology layer. This role will support product direction for a governed semantic and ontology layer that standardizes business metrics, models domain concepts, and enables trusted analytics across BI tools, data products, and AI-powered experiences.  The ideal candidate thrives at the intersection of product management, data platform, analytics, and AI, and can translate complex business and technical requirements into intuitive platform capabilities that improve data trust, self-service analytics, and cross-data domain interoperability.  Key Responsibilities  • Help define and drive the product vision and roadmap for a semantic and ontology layer that supports self-service analytics, 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 in trusted semantic and ontology context.  • Collaborate with business stakeholders and domain experts to validate metric 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 and ontology capabilities 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, metrics layers, headless BI, or governed analytics platforms.  • Exposure to ontology modeling, 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, lakehouse architectures, or enterprise BI tools.  • Experience in regulated industries such as insurance or financial services.  Education  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or related technical field required.  • MBA, MS, or equivalent experience preferred.  Annual Salary $95,325.00 - $157,850.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

About Geico

GEICO (Government Employees Insurance Company) is an American auto insurance company with headquarters in Chevy Chase, Maryland. It is the second largest auto insurer in the United States, after State Farm. GEICO is a wholly owned subsidiary of Berkshire Hathaway that provides coverage for more than 24 million motor vehicles owned by more than 15 million policy holders as of 2017. GEICO writes private passenger automobile insurance in all 50 U.S. states and the District of Columbia. The insurance agency sells policies through local agents, called GEICO Field Representatives, and over the phone directly to the consumer, and through their website.
Learn more about Geico
Size
40,000 employees
Industry
Founded
1936

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