Chief Data Officer

Role Description The Chief Data Officer (CDO) is a full-time, remote role responsible for defining and leading NCC Val di Noto’s data strategy across all business functions. The CDO oversees data governance frameworks, ensures data quality and integrity, and manages data architectures that support decision-making, operational efficiency, and customer experience. Day-to-day tasks include setting data policies and standards, prioritizing data initiatives, collaborating with leadership on analytics-driven insights, and enabling secure, compliant use of data across systems and partners. The role involves designing data management processes, guiding data science and analytics efforts, and translating complex data findings into clear recommendations for commercial, operational, and service teams. The CDO will also champion a data-driven culture, mentor team members in data literacy, and evaluate tools and technologies that enhance the company’s data capabilities.QualificationsCandidates should possess strong skills in Data Governance and Data Management, including defining policies, standards, and procedures for secure and compliant data use.Candidates should possess advanced Data Quality and Analytical Skills, with the ability to design controls, monitor data accuracy, and generate actionable insights from complex datasets.Candidates should possess solid Data Science capabilities, such as building models, applying statistical methods, and using data to optimize operations and customer experience.Relevant experience in data strategy or senior data leadership roles, preferably within service-oriented, hospitality, travel, or transportation environments.Proficiency with modern data platforms, databases, BI tools, and analytics frameworks, as well as familiarity with data privacy and security regulations.Excellent communication and stakeholder management skills, with the ability to collaborate across remote, cross-functional teams and present findings to executive leadership.Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field, or equivalent practical experience.