Tiger Analytics Benefits Overview

Leads growth for the Insurance business through hyperscaler and data-platform partnerships. Builds partner relationships, identifies client opportunities, develops AI/ML proposals, expands accounts, and drives market growth. Translates client needs into enterprise data science and AI solutions, leads solution deployment, defines data science roadmaps, mentors technical teams, and strengthens AI/ML service offerings. Requires extensive Data and AI consulting, enterprise solution delivery, business development, and partner ecosystem experience.

Leads complex enterprise AI programs from inception through production deployment. Coordinates data science, machine learning, data engineering, product, architecture, and client teams while overseeing RAG pipelines, multi-agent AI ecosystems, and knowledge graphs. Manages risks, dependencies, technical challenges, stakeholder communication, delivery progress, and strategic outcomes across globally distributed teams.

Designs and prototypes scalable agentic AI architectures across Azure, AWS, or GCP. Responsibilities include multi-agent orchestration, LLM applications, RAG pipelines, memory and vector search, enterprise integrations, cloud-native engineering, code reviews, AI governance, security guardrails, and stakeholder leadership. The role requires hands-on development, framework evaluation, and translating business needs into production-ready AI platforms.