- Management of the Data & Analytics area, responsible for developing and delivering the data strategy for customers, through modern architecture with security and governance, enabling the use of artificial intelligence, through Machine Learning and generative AI.- Management a team of 45 professionals, including supervisors, technical leaders and analysts, building strong relationships with teams by promoting continuous innovation and supporting recruitment, career development, performance evaluation and training processes. - Responsible for achieving the area's revenue, cost, margin, NPS and e-NPS targets. - Integration of delivery area processes, with sales, pre-sales and customer success, ensuring synergy between functions and consequent customer satisfaction.- Development and support the New Logos strategy, to leverage new clients through productive proofs of concept at no cost, prioritizing high-impact cases and promoting a data culture within the business areas.- Executive alignment with stakeholders to ensure project delivery within agreed scope, deadlines and costs, conducting action plans for project recovery when necessary.- Promotion of innovation agendas with the team and customers, aiming to evolve the frameworks, processes and architectures for delivering data products- Development of the annual business plan with the AWS vendor, establishing growth strategies, certifications and training for the area.

- Leadership of a squad with 22 people, including consultants, internal team and vendor, to deliver the datalake and sandbox in the AWS cloud, enabling failure analysis in aircraft systems. - Training system and customer support engineers in the sandbox environment, to explore data using Python, SQL and Spark for insights and machine learning models development.- Ensuring the implementation of business requirements, using AWS cloud services, ensuring data governance and controlled access to data.- Responsible for specifying requirements and monitoring the certification of the IoT connectivity system onboarded in the aircraft, focusing on recording and transmitting data during flight and after landing to Big Data system.- Delivery of predictive algorithms for aircraft systems, using large-scale data obtained from the cloud environment. - Creation of the data sharing policy, ensuring customer consent to the use of data.- Integration and configuration of aircraft connectivity systems with Embraer's Big Data platform, serving customers in Europe and the USA.

- Develop predictive failure algorithms for aircraft system components. - Establish with systems engineering and suppliers the most critical failure modes to be evaluated for selected components that have a major impact on aircraft operation.- Manage partnerships with universities for theoretical training and development of machine learning models.

- Development of the SIT (Integrated Test System), capable of automating systems integration tests in Manufacturing, using LabView software and National Instruments acquisition and stimulus hardware. - Specify requirements, develop and validate a new automated bench test concept to qualify critical equipment, before its installation in aircraft.