Enterprise Architecture And Business analysis Lead

About RUA RUA is a forward-thinking institution for cross-cultural arts education and creative innovation in the Middle East that fosters bold ideas that inspire progress and transform society by cultivating industry and academic collaboration and rethinking creative education, all while creating a space for global ideas to flourish in a culturally inspiring environment. • Our Vision • To be an inspiring beacon of knowledge for future generations, integrating culture and arts, empowering students to discover passions and develop talents while fostering creativity and cultural exchange. • Our Mission • To cultivate an innovative educational environment in culture and arts, delivering cutting-edge programs that foster cultural and artistic engagement, enriching both the Saudi and global communities. • Our Aspirations • The leading cultural university across the Middle East and North Africa. • Ranked among top 50 universities worldwide specializing in cultural education. • A global hub for cultural education and knowledge exchange. Job Summary: Leads the Data & Analytics function by managing the development and operation of data pipelines, storage, integrations, dashboards, and reporting that provide trusted, accessible, and actionable insights for university decision-making. The role coordinates data strategy, service performance, and continuous improvement in alignment with D&T priorities and institutional needs. General Accountabilities Strategy and Planning • Support the development of Data Ai & Innovation business plan by providing inputs related to Data Operations & Analytics. • Manage the development of data strategy covering use cases, infrastructure requirements, and integration mechanisms. • Assist in the implementation of D&T projects and initiatives by executing specific tasks related to Data Operations & Analytics. • Prepare and execute detailed action plans that contribute to the realization of Data Operations & Analytics operational goals in line with the broader strategic objectives of D&T. • Track and report on the progress of tasks within Data Operations & Analytics' remit and communicate to D&T leadership. Budget Management • Participate in Data Operations & Analytics' budgeting cycle and provide input to the budgeting process. • Ensure effective utilization of Data Operations & Analytics' budget and report accurately on progress made and challenges encountered. Policies, Processes, and Procedures • Provide input in development and review of D&T policies, processes, guidelines and procedures related to Data Operations & Analytics. • Carry out implementation of policies, procedures and controls to ensure efficiency, transparency and accountability across all business areas related to Data Analytics and Operations. • Provide input to DMO on data quality frameworks and governance policies. • Support in periodic review of policies, processes, guidelines and procedures related to Data Analytics & Operations. People Management • Train subordinates on the different job activities to ensure transfer of know-how, when applicable. • Provide clear direction, prioritize tasks, assign and delegate responsibility, and monitor the workflow of subordinates. • Support subordinates or direct reports to execute their duties according to set policies and processes. • Escalate potential issues/grievances from team members to senior management. Project Management • Manage day-to-day project activities and contribute to detailed project plans and schedules • Supervise vendor/partner work and promote adherence to cost, timeline, and quality standards Job Specific Accountabilities Data Strategy and Planning • Develop data strategy covering potential use cases, infrastructure requirements, and integration mechanisms. Data Engineering and Integration • Design, build, and maintain robust data pipelines and ETL workflows to efficiently ingest, transform, and load data from multiple sources into centralized storage systems. • Manage and optimize data storage solutions, including data warehouses and lakes, ensuring data is organized, secure, and accessible for analysis. • Design, monitor, and maintain data integrations and APIs to enable seamless, real-time data exchange between systems, while tracking performance and resolving issues proactively. Analytics and Reporting • Develop and deliver interactive dashboards, reports, and ad-hoc analytics that provide actionable insights to support decision-making across the university. • Deliver self-service analytics, dashboards, reporting, and data-product management. • Review data to identify trends, exceptions, and opportunities for operational improvement. Data Quality and Service Performance • Coordinate with DMO to ensure data quality frameworks and governance policies are applied consistently across all data operations. • Administer the data catalogue and metadata, onboard datasets, and manage master and reference data and data modelling. • Operate stewardship for critical-data elements, including supporting their classification and administering data platforms, source connections, access controls, audit logging, lineage, and observability. • Monitor data operations performance, service issues, and delivery risks, and coordinate corrective actions with relevant teams. • Facilitate improvements to data processes, controls, and work methods based on user feedback and observed service gaps. • Maintain documentation for recurring processes, controls, and operational dependencies to improve consistency and continuity. Qualifications: Knowledge And Experience • 6+ years of experience in data operations, analytics, data engineering, business intelligence, or information management, including coordination or people leadership experience • Strong knowledge of data pipelines, ETL workflows, data warehousing or lake environments, dashboards, data quality, governance, and integration practices • Proven ability to manage stakeholders, prioritize work, resolve operational issues, and improve service performance in a complex environment Education AndCertifications • Bachelor degree in data science, computer science, information systems, information technology, statistics, business analytics, or a related field is required • Master degree in data analytics, information systems, computer science, business analytics, or a related discipline is preferred Professional certification in data management, analytics, cloud platforms, or project management is an advantage Why joining RUA: RUA represents a platform for discovery, a space where talent is nurtured, and a gateway for Saudi art and culture to the world. We welcome you to join us on this exceptional journey. Together, we will shape the ambitious cultural future of the Kingdom and inspire the world. As the first of its kind in the MENA region, RUA serves as a center of creativity, knowledge, and innovation, contributing to shaping the future o

6+ years of experience in data operations, analytics, data engineering, business intelligence, or information management, including coordination or people leadership experience. Bachelor degree in data science, computer science, information systems, information technology, statistics, business analytics, or a related field is required. Master degree in data analytics, information systems, computer science, business analytics, or a related discipline is preferred. Professional certification in data management, analytics, cloud platforms, or project management is an advantage.

Leads the Data & Analytics function by managing the development and operation of data pipelines, storage, integrations, dashboards, and reporting that provide trusted, accessible, and actionable insights for university decision-making. The role coordinates data strategy, service performance, and continuous improvement in alignment with D&T priorities and institutional needs. Manage day-to-day project activities and contribute to detailed project plans and schedules. Supervise vendor/partner work and promote adherence to cost, timeline, and quality standards. Develop data strategy covering potential use cases, infrastructure requirements, and integration mechanisms. Design, build, and maintain robust data pipelines and ETL workflows to efficiently ingest, transform, and load data from multiple sources into centralized storage systems. Manage and optimize data storage solutions, including data warehouses and lakes, ensuring data is organized, secure, and accessible for analysis. Design, monitor, and maintain data integrations and APIs to enable seamless, real-time data exchange between systems, while tracking performance and resolving issues proactively. Develop and deliver interactive dashboards, reports, and ad-hoc analytics that provide actionable insights to support decision-making across the university. Deliver self-service analytics, dashboards, reporting, and data-product management. Review data to identify trends, exceptions, and opportunities for operational improvement. Coordinate with DMO to ensure data quality frameworks and governance policies are applied consistently across all data operations. Administer the data catalogue and metadata, onboard datasets, and manage master and reference data and data modelling. Operate stewardship for critical-data elements, including supporting their classification and administering data platforms, source connections, access controls, audit logging, lineage, and observability. Monitor data operations performance, service issues, and delivery risks, and coordinate corrective actions with relevant teams. Facilitate improvements to data processes, controls, and work methods based on user feedback and observed service gaps. Maintain documentation for recurring processes, controls, and operational dependencies to improve consistency and continuity.