About the Institution:MCTS is a governmental organization mandated to oversee traffic affairs in Saudi Arabia. It is responsible for developing and monitoring the implementation of strategies and initiatives under the National Transformation Program to enhance traffic safety.
About the Role:The Director of Data Management and Analysis will lead the establishment and development of the organization’s data management and analytics function, overseeing the end-to-end lifecycle of road traffic safety data across the Kingdom. The role is responsible for driving a robust data management strategy, improving data quality and governance, and delivering advanced analytics and insights that support national traffic safety priorities and strategic decision-making. Reporting directly to the General Director, this leadership role requires a seasoned data leader with proven experience in building teams and operating models, managing complex multi-stakeholder data ecosystems, and delivering measurable outcomes. The role will also represent the organization in high-level committees and strategic engagements, while enabling business intelligence, digital transformation, and automation initiatives to improve data flow and integration across relevant entities.
Key Responsibilities:Lead and build the Data Management and Analysis Department, including developing the operating model, roles, capabilities, and team performance (2–4 direct reports). Oversee the collection, validation, and consolidation of road traffic incident, injury, and fatality data from multiple external entities, ensuring accuracy, consistency, and traceability. Develop and deliver advanced analytical studies and periodic insights to relevant committees and leadership, translating data into actionable recommendations and strategic intelligence. Drive the development of analytics methodologies, including predictive and statistical modeling, and the adoption of AI/ML use cases that support proactive decision-making. Lead the planning and execution of initiatives to modernize data processes (currently file-based and correspondence-driven), progressing toward automation, integration, and scalable data infrastructure. Oversee the development and continuous improvement of relevant platforms and dashboards (e.g., BI and GIS-enabled insights), ensuring high-quality reporting and executive-ready visualization. Manage strategic partnerships and agreements to enhance national data integration and alignment. Provide secretariat oversight for high-level data committees, including meeting materials, minutes, follow-ups, and tracking recommendations through to implementation.
Skills & Competencies:Strong leadership capability in building teams, setting direction, and driving accountability and performance. Advanced expertise in data governance, data quality management, and information security principles. Strong analytical and technical proficiency in statistical, predictive, and diagnostic analytics, with the ability to translate insights into decisions. Demonstrated ability to lead digital transformation, BI enablement, and process automation initiatives in complex environments. Strong stakeholder management, negotiation, and partnership management skills with government and semi-government entities. Executive-level communication and presentation skills, including the ability to prepare senior leadership reports and committee-ready material. Strong problem-solving mindset, proactive approach to resolving data discrepancies, and ability to operate in high-profile, high-stakes environments. Familiarity with modern data and analytics tools and platforms (e.g., Python, R, Power BI, Tableau, GIS, and other relevant technologies), without being limited to specific tools.
Qualifications & Experience:Minimum of 10 years of professional experience in data management and data analytics roles. At least 3 years in a supervisory/leadership role with direct people management responsibilities. Experience in project management and business analysis within government, semi-government, or strategic sectors is strongly preferred. Proven experience working with large/complex datasets and deploying advanced analytics methods to support strategic outcomes. Bachelor’s degree in Data Science, Statistics, Engineering, or a related field. Professional certifications or executive training in data management, business intelligence, KPIs/performance measurement, project management, leadership, and executive communication are an advantage.
Application Requirement (Mandatory Attachment):Candidates must submit, along with the CV, a one-year work plan for 2026 presenting their approach to building and developing the data function, covering the following axes:Building the department and the team (2–4 staff) without reliance on consulting firms. Identifying key traffic safety variables and proposing a plan to automate data collection and improve data quality. Building a “Data Control Unit” using available resources in line with recognized reference models. Stakeholder engagement approach and handling core challenges such as definitional variance and delayed data receipt.
Work Environment: The role requires flexibility and the ability to perform effectively under high-pressure conditions to meet targets and national priorities.
Job Benefits:Annual performance bonus and salary raise. VIP health insurance coverage that includes dependents and parents. Education allowance for children. Individual training and development plans, plus mentorship and coaching programs. Opportunities for professional certifications and advanced training. Support to attend workshops, conferences, and seminars. Clear career growth path with continuous development opportunities. A values-driven culture built on Quality, Initiative, Integrity, Commitment, and Team Spirit, fostering a positive and collaborative work environment.