Senior Taxonomist jobs in United States
cer-icon
Apply on Employer Site
company-logo

GEICO · 17 hours ago

Senior Taxonomist

GEICO is a leading insurance company focused on providing quality coverage and innovative solutions to its customers. They are seeking an experienced Taxonomist to join their Enterprise Data team, responsible for structuring data for machine learning models and ensuring compliance throughout its lifecycle. The role involves collaboration with various teams to develop taxonomies and enhance data organization and accessibility.

Auto InsuranceFinancial ServicesGovernmentInsuranceInternetMobile
badNo H1Bnote

Responsibilities

Lead the development and maintenance of enterprise-wide taxonomies, controlled vocabulary, and metadata frameworks for human use and AI/ML and data applications
Partner with Data Scientists to structure training datasets, ensuring labels and categories are unambiguous and consistent across massive data volumes
Partner with Engineering teams to enhance internal and external search powered by taxonomy and metadata
Establish and document clear standards for data annotation and labeling, minimizing variance and noise in training data
Collaborate with subject matter experts, domain owners and enterprise ontologists to establish governance processes for taxonomy updates, versioning and sunsetting; ensure changes are communicated to data owners
Drive adoption of taxonomy best practices across teams through education, training and guidance
Collaborate closely with ontologists to define core concepts and entities (nodes) that serve as the foundation for the enterprise knowledge graphs
Ensure taxonomy aligns with the broader ontology to support complex reasoning and data integration across systems
Ensure alignment with industry standards (e.g., ACORD) to maintain data consistency across external reporting and internal systems
Standardize tagging models and classification systems to support scalable, modular content across platforms and business units
Evaluate and recommend automated tools (NLP/GenAI) for classification and tag suggestion; manage the feedback loop to continuously refine the taxonomy based on model performance
Implement and manage taxonomy standards using formats like SKOS (Simple Knowledge Organization System) for integration into semantic platforms

Qualification

Taxonomy developmentData analysisGraph databasesSemantic standardsMachine learningNatural Language ProcessingData modelingETL/ELT toolsInterpersonal skillsCommunication skills

Required

Education: Bachelor's or master's degree in computer science, Linguistics, Information Science, or a related field with a focus on knowledge representation
5+ years of experience in taxonomy and controlled vocabularies development, ideally within a complex, highly regulated industry such as Insurance or Financial Services
Strong proficiency in data analysis using tools like Python, SQL, etc
Experience working with graph databases (e.g., Neo4j, Stardog, etc.)
Demonstrated experience working directly with data science, machine learning, or software engineering teams
Experience supporting AI/ML, advanced analytics, and real-time data applications
Deep knowledge of semantic standards like SKOS and tools used for taxonomy management
Excellent interpersonal and communications skills to bridge the gap between technical teams and business subject matter experts

Preferred

Significant experience in the insurance or financial services industry is highly preferred
Strong understanding of data lineage and governance standards in a regulated industry
Strong familiarity with governance and compliance frameworks (e.g., GDPR, CCPA, NYDFS requirements, etc.)
Familiarity with industry-specific data models or ontologies (e.g., ACORD standards, Financial Industry Business Ontology – FIBO, Financial Regulation Ontology – FRO)
Experience with Natural Language Processing (NLP) techniques for interrogating unstructured documents and Text-to-SQL
Strong understanding of data modeling (conceptual, logical, physical), relational, and non-relational databases
Knowledge of designing data pipelines using ETL/ELT tools (e.g., Apache Airflow, dbt)
Knowledge of cloud architecture, APIs, and event-driven data systems (Kafka, Kinesis, Pub/Sub)
Deep understanding of metadata standards

Benefits

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.

Company

GEICO, Government Employees Insurance Company, has been providing affordable auto insurance since 1936. It is a sub-organization of Berkshire Hathaway.

Funding

Current Stage
Late Stage
Total Funding
unknown
1996-01-01Acquired

Leadership Team

leader-logo
Todd Combs
Chairman, President, and Chief Executive Officer
leader-logo
Clayton Johnson
Sr. Director of Product Management
linkedin
Company data provided by crunchbase