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.

Develop and refactor Python optimization algorithms for supply chain, inventory allocation, replenishment, and pricing optimization. Build predictive models, analyze large datasets, design experiments, monitor KPIs, and provide data-driven recommendations. Collaborate with business stakeholders and data science teams to deliver analytical solutions, while coaching colleagues and applying advanced statistical and operations research methods.

Leads technology advisory, client engagement, presales, solution architecture, and practice development for enterprise data and AI transformations. Provides thought leadership, assesses client platforms, develops modernization roadmaps, creates architectures and proposals, and mentors engineering, data, and architecture teams. Requires deep hands-on Databricks and Azure expertise, experience with enterprise Lakehouse platforms, streaming and batch pipelines, governance, security, and large-scale transformation programs. Partners with senior executives and offshore teams to drive delivery quality, talent development, and consulting growth.