Director – Customer Service

.Advanced University Degree in Computer Science, Information Systems, Business Administration or related field or similar experience/education.
. Professional Certification in at least one relevant Project Management Technique (Prince2 or PMI) and IT Service Management Technique (i.e., ITIL).. At least 15 years of multi-disciplined IT experience including:- Experience in design/architecture, development, testing and deployment support for medium to large-scale projects- Strong expertise in machine learning, deep learning, and/or generative AI- Experience with Python and common ML frameworks- Hands-on experience with cloud platforms (AWS, Azure, or GCP)- Knowledge of MLOps tools and practices (CI/CD, model monitoring, versioning)- Experience with data pipelines, APIs, and system integrations- Technical skills or knowledge of design and development tools (e.g. Java, Web methods, C++, relational databases, LINUX/UNIX operating systems)- Excellent written and verbal communications skills with technical and non-technical senior management.- Leadership capability supported by a broad analytical and technical background.- Ability to team with and mange a strong partners/suppliers system. Energetic, enthusiastic, results-oriented manager with a collaborative and participative management style.. Demonstrated success in program and project management within cost?responsible environments, leading virtual and global teams.. Hands?on experience leading the design, development, and deployment of AI/ML solutions (e.g., predictive models, NLP, generative AI).. Experience implementing IT solutions including adoption of new technologies in a multicultural & multinational environment. Highly customer oriented.. Strong commercial acumen, including understanding broader business needs, managing client relationships, and supporting contractual negotiations.. Ability to ensure AI solutions are scalable, secure, production?grade, and maintainable.. Get?it?done mindset. Able to navigate organizational complexity, break down silos, adopt best practices, and drive outcomes in a matrix environment.. Sound judgment and decision-making skills, applying broad knowledge and sound judgment when evaluating risks and priorities.