Director Data and Analytics AI Engineering

Qualifications:

• 8-10 years of experience in data engineering, analytics solution delivery, actuarial analytics, or related data-intensive roles.
• 3+ years' experience supporting actuarial, insurance, pricing, reserving, modeling, underwriting, portfolio management, or financial analytics use cases.
• Mastery level data engineering and architecture skills, including deep expertise in data architecture patterns, data warehouse, data integration, data lakes, data domains, data products, business intelligence, and cloud technology capabilities along with data governance
• Technical expertise in LLMs, AI platforms, prompt engineering, LLM optimization, Retrieval-Augmented Generation (RAG) architectures and vector database technologies (Vertex AI, Postgres, OpenSearch, Pinecone etc.).
• Experience enabling AI for analytics use cases, including verified analytic agents, natural language analytics, governed knowledge bases, forecasting, monitoring, deep-dive analysis, and decision-support solutions for actuaries.
• Ability to design, implement, and oversee Snowflake-based data pipelines, transformations, validations, and analytic consumption patterns.
• Proven experience building modern actuarial data products, including governed consumption layers, semantic layers, reusable metrics, data quality controls, and analytics-ready models
• Proven ability to use Snowflake-native and cloud-integrated capabilities to support actuarial workflows, predictive model outputs, monitoring, dashboards, and AI-enabled analytics solutions.
• Ability to promote exploratory actuarial solutions into sustainable, production-ready assets with clear ownership, monitoring, documentation, and support expectations.
• Strong understanding of actuarial measures and analytical concepts such as loss ratio, frequency, severity, rate adequacy, modeled indications, emergence monitoring, renewal health, and book assessment preferred.
• Ability to partner with actuaries, data scientists, analytics teams, engineering teams, and business stakeholders to translate actuarial needs into scalable Snowflake data products and AI-enabled analytics solutions.
• Work Arrangement: This role can have a Hybrid work schedule out of the Hartford office 3 days a week (Tuesday through Thursday). Consideration may be given for placement at our Charlotte or Chicago hubs as well as a remote arrangement.
• Compensation
• The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
• Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
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