Senior Executive Officer

Role Description The Senior Executive Officer at the Saudi Society for Data Science (SSDS) is a part-time, remote role responsible for overseeing strategic initiatives, organizational operations, and stakeholder engagement. Day-to-day responsibilities include coordinating society programs and projects, monitoring progress against strategic plans, and preparing reports and presentations for the leadership and board. The role involves collaborating with academic, industry, and government partners, supporting membership growth and engagement, and ensuring effective communication across committees and working groups. The Senior Executive Officer will also help manage budgets at a high level, support fundraising and sponsorship efforts, and contribute to policies and procedures that promote good governance and compliance with relevant regulations. This position requires proactive planning, follow-up on action items, and ongoing optimization of processes to advance SSDS’s mission in the data science community.
Qualifications

• Demonstrated leadership and executive management abilities, including strategic planning, decision-making, and oversight of complex initiatives.
• Strong organizational and project management skills, with experience coordinating multiple programs, timelines, and stakeholders.
• Excellent written and verbal communication skills, including the ability to prepare reports, executive summaries, and formal presentations.
• Experience in stakeholder and partner management, such as working with academic institutions, industry partners, sponsors, and professional societies.
• Understanding of data science or related fields (e.g., analytics, AI, statistics) sufficient to engage with technical stakeholders and promote SSDS activities.
• Familiarity with governance, policy development, and basic financial oversight, including budgets and sponsorship agreements.
• Proficiency with digital collaboration tools and remote work platforms, with the ability to work independently and manage time effectively in a part-time setting.
• Bachelor’s degree in business, management, public administration, data science, or a related discipline; advanced degree or comparable experience is an advantage.
• Previous experience in nonprofit, professional association, or academic administration is highly beneficial.