• Full lifecycle management of Analytics and AI projects, from conception and planning through execution and monitoring to final delivery. • Define scope, schedule, budget, and KPIs, ensuring projects meet quality requirements and deadlines. • Lead multidisciplinary teams (data engineers, data scientists, developers, AI specialists), fostering collaboration and high performance. • Manage risks and changes, anticipating impacts and proposing effective mitigation plans. • Act as a strategic bridge between business and technology, translating needs into data- and AI-driven solutions. • Ensure governance and compliance, including LGPD (Brazilian data protection law) and ethical principles for the use of data and algorithms. • Oversee implementation of Machine Learning models and AI solutions, ensuring scalability, security, and integration with existing systems. • Promote continuous innovation by identifying opportunities to apply AI and Analytics to critical processes and new products. • Monitor market trends and best practices to incorporate emerging technologies and agile/hybrid methodologies. • Manage stakeholder communication, preparing executive reports and presentations for strategic audiences.