Product Manager, Self-Service Data Platform

GEICO Norwalk; Bethesda (MD); In loco; USD 95.000 - 158.000; Tempo pieno

Descrizione del lavoro

GEICO is seeking a customer-obsessed Product Manager to support its Data Platform, driving 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, translating complex needs into platform capabilities that boost data trust, self-service analytics, and cross-domain

Competenze

• 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 with engineering, data, analytics, governance, security, and business stakeholders on technically complex products.
• Knowledge of semantic layers, metadata, ontology concepts, or business glossary practices as enabling capabilities within a broader data platform.
• Familiarity with AI/ML concepts including LLMs, natural language query, evaluation, and responsible use of AI in governed data environments.

Mansioni

• Support the product vision, roadmap, and execution for data platform services, tools, and capabilities.
• Translate business and technical needs into clear product requirements, prioritized roadmaps, and user-focused capabilities.
• Partner with engineering, data architecture, governance, analytics, and stakeholders to deliver platform capabilities.
• Use semantic layer concepts to improve metrics, domain relationships, and cross-domain interoperability.
• Enable natural language analytics and AI-powered data experiences with trusted metrics and metadata.
• Drive adoption through stakeholder engagement, training, and feedback loops.
• Define and track product success metrics like adoption, self-service usage, and data trust.

Conoscenze

Product management experience

Data architectures

APIs/SDKs

AI/ML concepts

Instrumentation/analytics

Stakeholder management

Communication

Formazione

Bachelor’s degree in Computer Science/Engineering/Information Systems

MBA/MS or equivalent experience

Strumenti

Jupyter Notebooks

Apache Superset

Tableau

Power BI

Descrizione del lavoro

Why Join GEICO?

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

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's 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.

Key Responsibilities

• 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.

Qualifications

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 tools such as Jupyter Notebooks, Apache Superset, Tableau, Power BI, or similar platforms.
• Exposure to semantic models, metrics layers, ontology modeling, knowledge graphs, metadata management, lineage, catalog, or governance tools.
• 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.
• Experience working with vendor platforms, tools, and services as part of product strategy and roadmap planning.
• 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 produce 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.