Product Manager, Enterprise Semantic and Ontology Layer

Why Join GEICO?

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 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.

The GEICO Pledge:

Great Company: Protecting customers through life’s twists and turns with innovation and integrity.

Great Careers: Personalized development programs, mentorship, and certification assistance.

Great Culture: Inclusive and collaborative culture rooted in shared success.

Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.