Experience with design and delivery of solutions using Artificial Intelligence is required. Lead and manage technical teams across Data Visualization & Reporting, Data Delivery & Management, and Data Science & Engineering IT capabilities. Foster a collaborative and innovative team environment, ensuring alignment with company strategic goals. Manage stakeholders at local, regional, and global levels. Oversee budget, vendor management, and business case elaboration. Drive strategic initiatives and manage complex projects. Develop team members, providing guidance and support for professional growth. Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. A Master's degree is preferred. Minimum of 10 years of experience in IT and data management roles, with at least 5 years in a leadership position. Proven experience in data governance, data analytics, data science & AI, and data platform management Strong leadership and team management skills. Proven track record in leading multidisciplinary teams Excellent communication and interpersonal skills. Learning Orientation Stakeholder engagement and management Proficiency in cloud computing, big data technologies, and advanced analytics tools. Ability to drive strategic initiatives and manage complex projects. Budget management, vendor management and business case elaboration Experience with design and delivery of solutions using Artificial Intelligence. Data Products management Data Lake technologies English (fluent). Background in manufacturing and retailer companies Experience in Google platforms and Tableau Agile Methodologies, Product management Project Management and Portfolio Management Your responsibilities will include Establish and enforce data governance policies and procedures to ensure data quality, security, and compliance. Collaborate with stakeholders to define data governance standards and best practices. Manage the end-to-end lifecycle of data science, machine learning, and AI Products. Implement advanced analytics, machine learning, and artificial intelligence solutions to support business decision-making. Develop training programs and initiatives to enhance data skills and knowledge. Build and influence an AI Community. Ensure the data platform is scalable, reliable, and secure.
