Role Description The Chief Data Officer (CDO) is a full-time remote role responsible for defining and leading Ailog Logistics’ data strategy across all business units. This role oversees data governance frameworks, ensuring that data is accurate, secure, compliant, and used consistently throughout the organization. The CDO will collaborate with operations, technology, commercial, and customer-facing teams to design data architectures that support real-time analytics, AI-driven optimization, and predictive planning for logistics and supply chain activities.
Day-to-day tasks include directing data management initiatives, establishing data quality standards, prioritizing data-related projects, and guiding the use of data to improve efficiency and reduce operational costs.
The Chief Data
Officer will also lead and mentor cross-functional data teams, evaluate new data technologies, and communicate insights and recommendations to senior leadership to drive data-informed decision-making.
Qualifications
Strong expertise in data governance and data management, including policies, standards, lifecycle management, and regulatory compliance.
Proficient in data quality practices, with experience designing controls, monitoring frameworks, and continuous improvement processes.
Advanced analytical skills, including the ability to interpret complex datasets, develop metrics and KPIs, and translate findings into actionable strategies.
Background in data science or applied analytics, with familiarity in statistical methods, predictive modeling, or machine learning relevant to logistics and supply chain optimization.
Experience leading data functions or teams in logistics, supply chain, technology, or related industries, preferably in data-rich, high-volume environments.
Demonstrated ability to partner with technical and non-technical stakeholders, influence senior leadership, and communicate clearly to diverse audiences.
Knowledge of modern data architectures, data platforms, BI tools, and integration with ERP, WMS, and e-commerce systems.
Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, Statistics, Business, or a related field, or equivalent practical experience.