Chief Data Officer

Company Description Spartan Group is closely aligned with Artificial4all, an innovation-driven organization addressing the rapid growth of training data as large-language pretraining becomes standard in artificial care. Artificial4all leverages a unique Big Data storage and analysis platform to make the benefits of the advanced data revolution accessible to individuals and technology providers. The company was founded by leading Israeli scientists with deep expertise in algorithmics and computer science, creating a strong foundation for advanced data solutions. Team members collaborate across disciplines to translate complex algorithmic information into practical, scalable tools for real-world use. This environment offers data leaders the opportunity to shape how high-impact artificial data is managed, governed, and used globally.Role Description The Chief Data Officer (CDO) is a full-time, remote role responsible for defining and executing the overall data strategy for Spartan Group in partnership with Genetic4all. The CDO will oversee data governance frameworks, data management policies, and data quality standards across all genomic and operational data assets. Day-to-day responsibilities include leading data teams, prioritizing data initiatives, establishing metrics and dashboards, and ensuring regulatory and privacy compliance for sensitive health data. The CDO will collaborate with product, engineering, science, and business stakeholders to enable advanced analytics and data science capabilities that drive decision-making and innovation. This role also involves championing a data-driven culture, evaluating new technologies, and guiding the ethical use of data in alignment with organizational goals.QualificationsDemonstrated expertise in data governance and data quality, including establishing policies, standards, and controls for complex, sensitive datasets.Strong background in data management, encompassing data architecture, data integration, and lifecycle management in Big Data or cloud environments.Advanced analytical skills, with experience using data to inform strategy, optimize operations, and measure performance across the organization.Professional experience in data science, including familiarity with statistical modeling, machine learning, or applied analytics in a scientific or healthcare context.Proven leadership experience in senior data roles, with the ability to build, mentor, and manage cross-functional data teams.Understanding of healthcare, genomics, or life sciences domains, including data privacy, regulatory requirements, and ethical considerations (e.g., HIPAA or similar frameworks).Excellent communication and stakeholder management skills, with the ability to translate complex data concepts into clear business insights.Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Bioinformatics, or a related field; an advanced degree or equivalent experience is preferred.