Jobs at Tiger Analytics

The Project Manager will oversee project delivery, manage stakeholder communications, mitigate risks, and ensure alignment with business priorities through Agile governance.

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

Lead high-impact analytics consulting engagements, manage program governance, strategic alignment, and commercial integrity for Power BI transformation.

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

The Senior Data Engineer will design, develop, and support data solutions, working with extensive cloud and data technologies while collaborating with Agile teams.

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.

The Lead Engineer will oversee AI agent development, ensuring quality and compliance, and collaborate with business teams on AI projects.

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.

The Sales Director will develop and execute sales strategies for consulting services, manage relationships with technology partners, and grow the client base for Tiger Analytics.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions on-site, collaborating with engineering teams to operationalize AI systems across multi-cloud platforms.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions, architect scalable infrastructure, and implement data pipelines across multi-cloud environments while collaborating with cross-functional teams to maximize business value.

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.