The Project Manager will lead complex IT transformation programs by developing project plans, managing budgets, and coordinating cross-functional teams. They will also facilitate Agile practices and maintain effective governance to ensure project outcomes align with business goals.
You will develop and maintain enterprise digital commerce solutions using Java and modern front-end frameworks. You will also collaborate with cross-functional teams to integrate REST APIs and optimize application performance.
Design, develop, and implement enterprise integration solutions using the MuleSoft Anypoint Platform. Collaborate with stakeholders to build and maintain APIs and integration flows connecting CRM, ERP, and other enterprise applications.
You will architect end-to-end analytical and AI-driven strategies to transform complex datasets into measurable commercial outcomes. This involves leading the development of Generative AI models, AI agents, and machine learning solutions while acting as a trusted advisor to business stakeholders.
You will design and develop back-end functionalities for SAP Commerce Cloud while architecting robust solutions using Java and the Spring Framework. Additionally, you will collaborate with cross-functional teams to integrate digital ecosystems and ensure the evolution of high-performance B2C architectures.
You will design smarter marketing processes and workflows by integrating modern marketing tools with AI to create value for organizations. Additionally, you will support daily marketing operations, map digital customer journeys, and collaborate with cross-functional teams to implement technology-driven solutions.
You will co-create and deploy production-ready GenAI and agentic AI solutions by working closely with business and technical stakeholders. Your role involves managing the full lifecycle of AI projects from data qualification and prototyping to monitoring and continuous improvement in client environments.
You will act as the bridge between the LATAM talent engine and North American hiring managers to source and recruit for Data, AI, Cloud, and Analytics roles. This involves managing the end-to-end recruitment process, building talent pipelines, and conducting market analysis to support hiring decisions.
Define and maintain the target-state architecture for enterprise data and analytics platforms to turn fragmented technology into an orchestrated operating system. Lead discovery sessions, design scalable cloud solutions, and mentor engineering teams throughout the implementation lifecycle.
Architect and implement validation frameworks and automated testing to ensure the accuracy and reliability of enterprise data products. Collaborate with engineers to embed quality controls into CI/CD pipelines across ingestion and transformation layers.
