Tiger Analytics Benefits Overview

Lead advanced analytics initiatives by translating ambiguous business problems into analytical solutions, building and deploying predictive and machine learning models, and delivering actionable insights. Partner with stakeholders across sales, finance, supply chain, eCommerce, cloud, and vendor management. Independently scope workstreams, shape technical roadmaps, lead cross-functional collaboration, and communicate complex findings through executive-ready presentations.

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.

Designs and deploys advanced AI and machine learning solutions, including AI agents, RAG systems, analytical models, and data products on Google Cloud Platform. Responsibilities include preparing structured and unstructured data, developing AI agent tools, applying NLP and deep learning, collaborating with customers and stakeholders, generating business insights, and communicating analytical results.