Oversee execution of cross-functional projects, manage client expectations, develop project plans, and ensure project delivery and quality.

Lead and execute GA4 technical implementations, focusing on mobile app analytics, debugging issues, and collaborating with teams to ensure data accuracy and governance.

Lead AI and data science projects, mentor a team, collaborate with stakeholders, ensure project quality, and deliver insights for decision-making.

The Senior Data Engineer will design and implement data architecture, optimize data pipelines, support data modeling, and ensure reliable data flows for analytics and reporting.

The Engineering Director oversees the engineering department, manages teams, aligns technical goals with business objectives, and ensures timely delivery of high-quality products.

The Associate Director of Product Management will manage product outcomes from discovery to delivery, collaborating with various teams to iterate on AI-based products and measure success through analytics and KPIs.

The role involves transforming and migrating data into Snowflake, collaborating with teams on data requirements, and ensuring compliance with data regulations.

The Data & Backend Engineer role involves building ETL pipelines, optimizing data workflows, and maintaining backend services for advertising data analysis.

This role focuses on promoting retail credit cards at various stores, training staff, and driving customer engagement through sales initiatives.

The Client Partner oversees a multi-year transformation engagement, ensuring client success and initiating growth through strategic leadership and operational excellence.

The Lead Data Engineer will evaluate and migrate ML models to Snowflake, develop data pipelines, and ensure performance and reliability.

The Senior Data Engineer will develop an AEM-to-Snowflake ingestion pipeline, optimize ETL processes, ensure data quality, and collaborate with data scientists on AI features.

The Senior Data Scientist will design and implement machine learning solutions, focusing on MLOps practices while collaborating with teams and ensuring model efficacy.

The Lead AI Engineer will design, implement, and optimize AI-driven solutions on AWS, focusing on financial services while ensuring system scalability and performance.

As a Senior Data Scientist, you will develop recommendation engines, deploy machine learning models, and enhance data-driven decision-making processes using Python and MLOps.

Lead BI projects, develop Power BI dashboards, collaborate with teams, implement BI solutions, and mentor others while driving insights from data.

The Latam Field Marketing Lead is responsible for developing and executing field marketing strategies, managing regional marketing efforts, and fostering partnerships to drive growth across Latin America.

Lead the data engineering team in developing and maintaining the Snowflake data warehouse, collaborating with teams, and ensuring compliance with data regulations.

The Senior Data Engineer will develop and maintain the Snowflake data warehouse, collaborate with teams on data requirements, optimize data engineering processes, and ensure compliance with data security regulations.

The Digital Data Specialist will implement GA4, manage mobile app analytics, troubleshoot, and collaborate with teams for accurate analytics solutions.