Director Data and Analytics AI Engineering
Core
Lead the delivery of governed next-generation actuarial data products, semantic layers, AI analytic agents, and dashboards to enable faster, deeper insights for pricing, reserving, underwriting, and portfolio management.
Role type
Director, AI Data Engineering (Actuarial Solutions)
Builds
Cloud-based data and analytics solutions, AI analytic agents, semantic layers, and reusable data products for actuaries.
Domain
Insurance / Actuarial Analytics / Cloud Data Engineering / AI
Deliverable
production ML models
Required skills
Data engineering, AI technologies, real-time data streaming, agentic frameworks, Data APIs, vector stores, RAG architectures, Snowflake, data governance, actuarial analytics, cloud architecture, team leadership, budget management.
Preferred skills
Actuarial measures (loss ratio, frequency, severity), AI-driven auto-generation of data pipelines, advanced DevOps practices, Agile at Scale.
Technologies
Snowflake, Vertex AI, Postgres, OpenSearch, Pinecone, LLMs, RAG, Vector databases.
Responsibilities
Lead execution of a complex Data and Analytics portfolio; Develop strategic roadmap for data modernization using Cloud and AI; Ensure data architecture aligns with enterprise-wide standards; Implement AI data pipelines integrating structured, semi-structured, and unstructured data; Build, mentor, and lead a high-performing team; Manage budget and financials for the portfolio; Define and implement robust data management frameworks for governance and quality.
Seniority
Director, strategic leadership with hands-on technical guidance