Jobs at Tiger Analytics

Lead design, development, and deployment of GenAI and ML solutions; translate client business needs into end-to-end analytics systems; build LLM-powered apps and agentic workflows; implement Document Intelligence; mentor teams; present results to senior stakeholders and operationalize models.

Lead end-to-end delivery of credit card pricing and profitability analytics, partner with senior business stakeholders, manage client engagement, oversee model development/validation/implementation, mentor offshore analytics teams, and collaborate cross-functionally to deliver scalable solutions and governance.

Lead AI and data transformation initiatives, develop AI strategies, deliver AI/ML solutions, mentor teams, and drive innovation for enterprise clients.

The Director of Analytics Consulting will lead analytics projects for CPG clients, translating business problems into high-level solutions and managing global teams, with a strong emphasis on data-driven insights and stakeholder engagement.

The Azure Architect will design and migrate enterprise technology products to Azure, guiding development teams through all stages while ensuring compliance and security.

The Data Engineer will design, implement and manage data integration, pipelines, and models using tools like Snowflake and Airflow, while optimizing data processing for analytics.

Lead pricing operations and technology strategy to design scalable, cloud-native, AI-driven pricing solutions. Oversee architecture, data science model development, Agentic AI adoption, SDLC, integrations, and stakeholder alignment to operationalize pricing strategy and drive margin optimization.

Lead complex data and analytics programs, manage stakeholders and global teams, design AI/ML solutions, and validate outputs in the Insurance domain.

Lead end-to-end AI programs by translating business needs into technical requirements, aligning stakeholders, performing data discovery and EDA, managing data wrangling, and ensuring AI initiatives deliver measurable ROI.

Lead business development and growth in AI/ML, provide technical leadership in data science solutions, and enhance client engagement by delivering strategic data insights.

The Sales Leader drives revenue growth by managing strategic client relationships, leading presales activities, and winning multi-million-dollar Quality Engineering deals.

Lead analytics consulting delivery, manage client relationships, drive account growth, and collaborate with teams to develop strategic analytics solutions for CPG and Retail clients.

The Finance Director will lead the finance team, overseeing financial planning, analysis, and management practices to support the company's growth and performance optimization.

Lead modernization and design of applications, architecting cloud-native systems, optimizing APIs, and ensuring security and scalability for enterprise applications.

The Databricks Architect will design and implement large-scale data solutions, optimizing performance and reliability, while leading initiatives in data engineering.

The Machine Learning Engineer will develop software solutions, optimize data pipelines, and deploy machine learning models using cloud platforms and best practices.

This role leads Revenue Growth Management initiatives, linking data analytics with executive strategy to drive business growth through actionable insights and project management.

The Technology Partner will lead technology solutions and data transformation initiatives for Fortune 100 clients, providing thought leadership and managing executive relationships.

Lead Tableau data visualization strategy: design and optimize high-performance dashboards, establish governance and best practices, mentor teams, enable adoption, and partner with data teams for robust models and performance.

The Databricks Architect will design and implement data architecture solutions using Databricks, AWS, and Snowflake, focusing on MLOps and data governance.