Director of Applied AI & Data Science

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