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Director of Applied AI & Data Science

NR Consulting LLC

New Haven, CT

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JOB DETAILS
SALARY
$140,000–$188,000 Per Year
SKILLS
Actuarial Skills, Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Cloud Computing, Continuous Deployment/Delivery, Continuous Integration, Data Analysis, Data Migration, Data Science, Database Technology, Documentation, Ecosystems, Financial Services, IBM DB2, Insurance, Leadership, Life Insurance, Machine Learning, Metrics, Operations Management, PostgreSQL, Production Systems, Python Programming/Scripting Language, Regulations, Relational Databases (RDBMS), Risk, SQL (Structured Query Language), Scalable System Development, Snowflake Schema, Software Engineering, Structured Data, System Integration (SI), System Lifecycle, Systems Administration/Management, Team Lead/Manager, Technical Delivery, Technical Leadership, Technical/Engineering Design, Unstructured Data
LOCATION
New Haven, CT
POSTED
2 days ago
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)

About the Company

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NR Consulting LLC

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