Master in Data Analysis & AI

The Lead Data Scientist leads data science projects focused on specific business outcomes. They define the key questions, select the most appropriate analytical techniques —machine learning, predictive models, etc.— and coordinate multidisciplinary teams. Their approach combines technical rigor with strategic vision, always seeking measurable impact on profitability, efficiency or growth.

The Data Analyst transforms complex data into clear and actionable insights. Their work is essential for guiding strategic decisions across all areas of the business. They work with large volumes of information, interpret patterns and trends, and create visualizations and reports that help optimize processes, identify opportunities and anticipate risks.

The Chief Data Officer is responsible for turning data into a strategic asset for the organization. They oversee data governance, quality and security, ensuring alignment with business objectives. In addition, they define ethical and sustainable data usage policies, coordinate analytical exploitation and lead the adoption of technologies that enhance the value of data across the company.

The Data Business Translator acts as the bridge between the technical world —data scientists, engineers, AI developers— and the business. Their mission is to ensure that analytical solutions truly solve strategic problems. They translate business needs into technical requirements and, in turn, interpret complex results to turn them into clear and effective decisions for stakeholders.

The AI Strategy Manager designs and implements artificial intelligence strategies aligned with corporate objectives. They assess opportunities, define roadmaps and coordinate the integration of AI systems into key processes such as operations, customer service, sales or logistics. Their approach combines business vision, technological knowledge and organizational change management.

The Machine Learning Engineer develops and implements predictive models and algorithms capable of learning automatically from data. Their role is key in automation, recommendation, anomaly detection and service personalization projects. They ensure that models are scalable, efficient and properly integrated into the company’s technology systems.

The Marketing Data Analyst turns data into the foundation of every marketing decision. They analyze user behavior, measure campaign performance, segment audiences and detect optimization opportunities. Their work enables evidence-based decision-making, increases ROI and helps design more relevant experiences for each customer.

The Analytics Product Manager leads the development of data-based products, from internal tools to digital solutions for clients. They define the product vision, translate needs into analytical functionalities and coordinate development with technology and business teams. Their focus is on creating useful, scalable solutions designed to generate value through the intelligent use of information.