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Niche senior Gen-AI and consulting leadership reduces qualified applicant density.
Requires deep data science, Gen-AI and insurance consulting experience, highly industry- and domain-specific.
Explicit 12+ years, specialized Gen-AI/ML, consulting, insurance and managerial requirements enforce strict filters.
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Provide technical leadership for data science projects across insurance value chain including data modeling, predictive modeling, reporting, and automation.
Lead client working sessions and manage project operations to ensure deliverables meet client expectations.
Manage analytics teams with responsibilities including career management, training, and recruiting of offshore staff.
12+ years core analytics experience with focus on Data Science, Gen-AI (prompt engineering, embeddings, RAG, vector DBs), ML-AI model development, and data engineering with consulting/implementation exposure, preferably in life insurance.
Bachelor’s or master’s degree in economics, mathematics, computer science/engineering, operations research, or related analytics fields from top-tier institutions welcomed.
Proficient in Python, SQL, Tableau, Power BI, cloud data storage solutions (Snowflake, S3, ADLS Gen2) and possess working knowledge of MLOps including model deployment, monitoring, and tools such as MLflow, Airflow, Docker, Kubernetes.
Experience managing clients directly and working in dual shore engagements.
Senior analytics professional with deep domain expertise in life insurance and strong consulting experience.
Experienced managing cross-cultural, offshore analytics teams in a fast-paced environment with changing technologies.
Technically adept in modern AI/ML technologies, cloud platforms (AWS/Azure/GCP), Microsoft Fabric, and advanced analytics tools, combining managerial and hands-on technical skills.