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Palomar Holdings

Specialty insurance provider leveraging data analytics

Director Data Architecture - AI/ML Foundations

Data Management +1Updated on Nov 11
Full-timeLa Jolla, San Diego, CA, USA

About the Job

Requirements

  • A bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, Information Systems, or a related field, or equivalent practical experience.
  • 10+ years in data engineering or data architecture, including an enterprise data model personally designed and built from raw sources to a conformed layer (dimensional, Data Vault, or temporal). Experience leading or mentoring engineers.
  • Experience with entity resolution or master data at scale, including matching, golden records, and measured match quality.
  • Production experience with Snowflake and dbt, strong SQL and Python, and engineering fundamentals including Git, automated testing, CI/CD, and infrastructure as code.
  • Hands-on experience making data usable by AI and ML, including features, LLM-based extraction from documents, retrieval and vector search, semantic layers, and agent tool access such as MCP. Daily use of AI coding tools.
  • Data work in a SOX-audited or similarly regulated environment, including lineage, access control, and change management.
  • Ability to communicate clearly with actuaries, finance leaders, executives, and engineers; explain tradeoffs plainly; and bring partners along.
  • Ability to work on-site three days per week in a hybrid capacity.

Responsibilities

  • Own the target architecture, data model, and roadmap for the AI/ML data foundation on Snowflake, including the associated design decisions.
  • Design append-only, temporal models at the transaction level so every figure can be traced to its source and reproduced as of any date.
  • Build entity resolution and master data across internal systems and external partners, measuring match quality and making every merge traceable.
  • Bring structured and unstructured data, including submissions, documents, bordereaux, loss runs, and third-party data, into the foundation once in a governed, queryable form; define specifications for external data.
  • Build governance into the foundation from the start, including role-based access, separated environments, lineage, data quality checks, and reconciliation, in line with governance and change-management standards.
  • Maintain the data dictionary and metadata, with definitions shared across company reporting.
  • Build the data capabilities models and agents run on, including feature pipelines, training datasets, retrieval and vector search, and governed tool access over the entity layer, using Snowflake ML (Feature Store, Model Registry) and Cortex where appropriate.
  • Work with AI scientists and actuaries building models for underwriting, claims, and catastrophe risk; own features, retrieval, and lineage from source to feature to model.
  • Measure the foundation's value through entity coverage, data quality, adoption, and the time required to answer a new business question.
  • Hire, lead, and develop a small team of AI data engineers, and set standards for testing, documentation, code review, data quality, and cost.
  • Partner with Actuarial and Data & Analytics as close collaborators; own architecture decisions, review designs early, and share standards and definitions.
  • Work with Technology, Information Security, Legal, and Compliance to ensure data is accessed, protected, and retained in line with company policies, and advise on what to build, buy, or retire.

Desired Qualifications

  • Experience with P&C insurance or reinsurance data, especially specialty or E&S, including policy, exposure, claims, bordereaux, or statistical reporting.
  • Experience taking in messy third-party data and writing specifications to correct it at the source.
  • Experience with Snowflake ML (Feature Store, Model Registry), Cortex AI, or another production ML platform; SnowPro or dbt certification.
  • Experience with semantic layers, ontologies, or knowledge graphs.
  • Experience standing up a data function or platform from the ground up.
  • Experience with geospatial or catastrophe exposure data.

About the Company

Palomar Holdings

Specialty insurance provider leveraging data analytics

Palomar Holdings provides specialty property and casualty insurance for residential and commercial clients across the United States, including earthquake, flood, inland marine, and commercial all-risk coverages, along with reinsurance through Palomar Specialty Insurance Company and Palomar Specialty Reinsurance Company Bermuda. The company uses proprietary underwriting algorithms and predictive models to price risk tailored to underserved markets. It differentiates itself with technology-driven risk analysis and a diversified specialty portfolio, while growing through acquisitions and partnerships in surety, crop, and workers’ compensation. Its goal is to scale its specialty platform responsibly, pursue sustainable practices such as carbon neutrality by 2050, and expand access to targeted insurance markets.

Company size
201-500
Company stage
IPO
Headquarters
San Diego, CA
Founded
2014

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