Director of Data Projects and Artificial Intelligence Objective Lead the strategy, design, and implementation of data science, artificial intelligence, and strategic project management initiatives to accelerate the organization’s digital transformation. Responsible for identifying high-impact opportunities, turning data into business decisions, driving automation, and ensuring the successful execution of cross-functional programs that improve efficiency, innovation, customer experience, and value creation. Key Responsibilities Define the vision and roadmap for advanced analytics, data science, and artificial intelligence aligned with business objectives. Lead multidisciplinary teams of data scientists, data engineers, analysts, project leaders, and business specialists. Oversee the full lifecycle of analytical and AI models: ideation, development, validation, deployment, monitoring, and continuous improvement. Lead portfolios of strategic projects, ensuring compliance with scope, budget, timelines, risks, and expected benefits. Translate business needs into actionable and measurable analytical solutions. Collaborate with technology, product, operations, finance, commercial, and customer service areas to prioritize initiatives. Ensure the proper capture, quality, availability, and use of data to support strategic decision-making. Requirements Bachelor’s degree in Engineering, Mathematics, Actuarial Science, Data Science, Information Systems, Economics, Statistics, or a related field. Master’s degree in Analytics, AI, Business Administration, Technology, or MBA preferred. 10+ years of experience in analytics, data science, digital transformation, or technology. 5+ years in leadership positions managing teams and complex projects. Strong knowledge of machine learning, predictive analytics, statistical models, and data utilization. Experience in strategic project management and organizational transformation. Technical Knowledge Data science and machine learning. AI applied to business. SQL, Python, R, or equivalent tools. Data management and data governance. Business intelligence and data visualization. Cloud computing and data platforms. MLOps / model deployment and monitoring. Agile and traditional project management methodologies. Data architecture and governance. Soft Skills Strategic vision and results-oriented mindset. Leadership of multidisciplinary teams. Analytical thinking and problem-solving approach. Executive communication and influencing skills. Negotiation and stakeholder management. Data-driven decision-making. Ability to translate technical concepts into business value. Planning, organization, and execution. Adaptability and innovation.