Job title: Director of Applied AI & Data Science
Location: New Haven, CT (Hybrid schedule)
Salary range: $140K to $188K
Overview
The Director of Applied AI & Data Science is a senior technical leader responsible for designing, engineering and operationalizing production grade AI solutions across Life Insurance, Investments, Membership, and Charities. This role focuses on building scalable and reliable AI systems, including machine learning and generative AI (LLM) capabilities, within a governed enterprise data and AI ecosystem.
This role provides technical leadership and oversight for the Senior Applied AI & Data Scientist, Applied AI & Data Scientist, and Senior Data & AI Solutions Architect. The Director of Applied AI & Data Science ensures solutions are production-ready, resilient, cost-effective, and aligned to responsible AI and regulatory standards.
Core Responsibilities
Develop and deploy advanced statistical, machine learning, and AI models supporting insurance, actuarial, claims, and investment decision making
Design and deliver LLM enabled analytics and Deep Research solutions, including RAG based approaches over structured and unstructured data
Perform hands on data analysis, feature engineering, and model development using enterprise platforms (Snowflake, PostgreSQL, DB2)
Define model success metrics, validation approaches, and explainability standards aligned to business and regulatory expectations
Partner with data engineers and architects to produce models, establish monitoring, and manage model lifecycle and drift
Apply responsible AI practices including bias assessment, transparency, and documentation for audit and compliance review
Communicate analytical insights and model outcomes clearly to business leaders and technical stakeholders
Collaborate across analytics, engineering, risk, and compliance teams to ensure scalable, governed AI and analytics delivery
Skills Qualifications Required:
Strong experience with Python and SQL and production system development.
Experience with Snowflake and relational databases such as PostgreSQL.
Experience with API development, pipelines, and system integration.
Experience with monitoring, CI/CD, and operational lifecycle management of AI systems.
Proven ability to lead technical teams and deliver complex solutions.
Preferred:
Experience in financial services or other regulated industries.
Experience with DB2 or legacy-to-cloud data migration.
Education Required:
8+ years of experience in software engineering, data engineering, or ML engineering.
3+ years delivering production AI/ML and/or GenAI solutions (RAG, agents, or similar)
Numbers & Facts
Location
New Haven, CT
Salary
$140,000–$188,000 Per Year
Skills
Actuarial Skillsunmatched
Analysis Skillsunmatched
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Cloud Computingunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Data Analysisunmatched
Data Migrationunmatched
Data Scienceunmatched
Database Technologyunmatched
Documentationunmatched
Ecosystemsunmatched
Financial Servicesunmatched
IBM DB2unmatched
Insuranceunmatched
Leadershipunmatched
Life Insuranceunmatched
Machine Learningunmatched
Metricsunmatched
Operations Managementunmatched
PostgreSQLunmatched
Production Systemsunmatched
Python Programming/Scripting Languageunmatched
Regulationsunmatched
Relational Databases (RDBMS)unmatched
Riskunmatched
SQL (Structured Query Language)unmatched
Scalable System Developmentunmatched
Snowflake Schemaunmatched
Software Engineeringunmatched
Structured Dataunmatched
System Integration (SI)unmatched
System Lifecycleunmatched
Systems Administration/Managementunmatched
Team Lead/Managerunmatched
Technical Deliveryunmatched
Technical Leadershipunmatched
Technical/Engineering Designunmatched
Unstructured Dataunmatched
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