Details.
Lead and manage a team of AI engineers, data scientists, and developers, including recruiting, mentoring, and talent development. Foster innovation, collaboration, and continuous learning. Manage AI projects from concept to deployment, oversee AI platforms and technology usage, identify local business opportunities, contribute to AI strategy, collaborate with business leaders on use cases, promote data culture and AI capabilities, and support machine learning industrialization and research. The role requires 10+ years of relevant experience in data science, development, or data analytics with leadership experience managing technical teams, exposure to financial services, strong Python and SQL skills, statistical modeling, data analysis and machine learning experience, excellent communication skills, and the ability to handle confidential information. Experience with Agile project management, CI/CD, MLOps, Docker, and Kubernetes is beneficial. The position offers competitive compensation, flexible benefits, hybrid work arrangements, training, and career development opportunities.