Lead the design and development of an Agentic AI platform, focusing on machine learning, architecture, and generative AI workflows leveraging GCP services.

The Data Analytics Consultant will work with clients to define problems, analyze data, and provide actionable insights in the supply chain domain.

The role involves using AI and machine learning to build advanced analytics engines, collaborating on technical solutions, and developing analytical models based on telematics data.

The Recruiting Coordinator will manage recruitment activities, assist in sourcing and screening candidates, maintain the ATS system, and support the recruiting team in various tasks.

The Project Manager will facilitate agile project processes, enhance team collaboration, and manage multiple project aspects for GenAI initiatives. Responsibilities include engaging with stakeholders, maintaining project documentation, and ensuring effective communication. The role requires a strong background in data analytics and project management, focusing on delivering projects successfully and adapting agile methodologies as needed.

The Sr. Manager/AD - BI Strategy and Consulting will analyze business requirements, develop conceptual data models, ensure compliance, and drive business value from data through effective BI strategies. This role requires collaboration with cross-functional teams and will involve managing client escalations and validation of data quality.

The role involves designing and implementing data solutions on Databricks, optimizing performance, managing DevOps processes, and mentoring on data ecosystem architecture.

As a Data Engineer at Tiger Analytics, you will design, build, and maintain data pipelines and data infrastructure. You will work closely with data scientists and analysts to enable data-driven decision-making and ensure efficient data flow across the organization.

The Azure PaaS Product Manager will develop and launch products, manage budgets, and collaborate with teams to ensure product success.

Manage end-to-end marketing campaigns for consumer lending/cards. Collaborate with stakeholders, apply data science, and present analytics solutions to drive business value.

Design and implement data architecture solutions using Snowflake, ensuring compliance, optimizing performance, and collaborating with stakeholders for business intelligence initiatives.

Manage marketing and campaign execution for consumer lending, applying data science to solve business challenges and collaborating with stakeholders.

The Associate Product Owner will manage product backlog, collaborate with teams on strategies, gather data requirements, and oversee product development stages.

The Principal Data Engineer will design scalable data pipelines on Azure, create data models, and collaborate with teams to build analytics solutions.

The Gen AI Data Engineer will design and build distributed data systems, manage data pipelines, and ensure data integrity across platforms. Responsibilities include architecting data solutions, integrating databases, and conducting experiments to optimize performance.

The Power BI Lead will enhance data analytics through business intelligence, dashboard creation, and stakeholder engagement in the CPG sector.

As a Power BI Developer, create self-service dashboards, manage complex data sets, and generate insights to solve business challenges using advanced BI tools.

The Program Manager will oversee multiple projects, guide teams, resolve issues, and implement strategies within Pharma/Life Science domains.

As a Senior ML Ops Engineer, you'll support and build ML capabilities, manage infrastructure, collaborate with teams, and ensure model performance and security.

As a Data Scientist, design and implement advanced analytical models, collaborate with teams, analyze data for insights, and communicate findings effectively.