Directorate of Digital Transformation, Smart Systems, and Productivity

Duties and Authorities

A) Duties

  1. Formulating, Updating, and Monitoring the Digital Transformation Roadmap:
    Preparing, documenting, and continuously reviewing the university’s digital transformation roadmap; defining goals, priorities, executive programs, and evaluation metrics across various timeframes; aligning programs with high-level university policies and strategic documents; coordinating with relevant departments to identify transformation opportunities; and providing analytical progress reports.

  2. Intelligent Automation of Processes and Organizational Systems:
    Identifying, analyzing, and re-engineering key university processes to improve efficiency, reduce costs, and enhance service quality; proposing solutions based on emerging technologies, including artificial intelligence and data analysis; and overseeing the implementation of these solutions and evaluating their operational outcomes.

  3. Enhancing Organizational Productivity through Digital Tools and Platforms:
    Assessing the current performance of university departments and identifying operational bottlenecks; proposing and implementing digital tools to optimize workflows; executing pilot projects and evaluating their impact on key performance indicators (KPIs); and deploying management dashboards and continuous monitoring mechanisms.

  4. Management and Leadership of Digital Transformation Projects:
    Managing and directing digital transformation projects from the initial needs-assessment stage through to deployment and continuous optimization; planning, scheduling, allocating resources, and monitoring the realization of project objectives; and managing risks and coordinating among stakeholders. In projects such as chatbot development and smart systems, the focus remains on strategic leadership, coordination, monitoring, and quality control, while technical implementation details are executed by specialized teams.

  5. Monitoring, Evaluating, and Reporting on System Performance:
    Designing and establishing a performance monitoring framework for university systems; defining evaluation metrics; collecting and analyzing operational data; preparing periodic reports on system utilization, service quality, usage rates, existing challenges, and optimization proposals; and following up on corrective actions.

  6. Promoting Digital Culture and Empowerment:
    Designing and implementing educational programs to enhance the digital capabilities of staff; organizing specialized workshops and seminars; compiling practical manuals and documentation; and establishing the necessary frameworks to foster a technology-driven culture within the organization.

  7. Coordination, Integration, and Expert Consulting:
    Collaborating with relevant departments to integrate systems and optimize data exchange; providing expert consultation on the selection and implementation of digital solutions; and reviewing and evaluating proposals submitted by contractors and technology companies.

  8. Economic Evaluation and Effectiveness Analysis of Technologies:
    Assessing the costs and benefits of digital projects; analyzing the return on investment (ROI) and the overall effectiveness of proposed solutions; and providing analytical reports to support managerial decision-making.

B) Authorities

  1. Decision-Making and Approvals within Regulatory Frameworks:
    Reviewing and approving the executive frameworks of projects in accordance with university policies, and recommending appropriate tools and technologies.

  2. Inter-Departmental Coordination:
    Requesting information and cooperation from various university departments; convening specialized committees and working groups; and following up on the implementation of project-related resolutions.

  3. Implementation of Pilot Projects:
    Defining and executing small-scale pilot projects to evaluate digital solutions prior to determining their full-scale development.

  4. Engagement with Consultants and Contractors:
    Recommending collaboration with specialized consultants and firms, and participating in the evaluation and supervision of their services.

  5. Access to Data and Systems:
    Accessing requisite data and systems within legal and regulatory frameworks to conduct performance analyses and monitoring.

Introduction of Director and Staff

Mahdi Sarbazi
IT Specialist - Artificial Intelligence
  • Expert in Digital Transformation, Smart Systems, and Productivity

mahdi.sarbazi [at] uok.ac.ir

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Job Description: Artificial Intelligence (AI) Specialist

  1. Analysis and Design of Intelligent Solutions:
    Identifying challenges and processes suitable for optimization via artificial intelligence; contributing to the design of smart solutions; and defining the necessary technical requirements.

  2. Participation in the Advancement of Smart Projects:
    Collaborating in project development by defining requirements, coordinating among stakeholders, tracking implementation progress, and assessing alignment with established goals. In initiatives such as chatbot development, the focus is on strategic guidance, progress monitoring, and evaluation, while technical execution is carried out by specialized teams.

  3. Feasibility Study and Project Evaluation:
    Conducting technical and operational evaluations of proposed projects; analyzing costs, benefits, and risks; and preparing reports to support decision-making.

  4. Developing Prototypes:
    Designing and implementing low-fidelity prototypes to evaluate ideas, test feasibility, analyze outcomes, and provide supplementary recommendations.

  5. Monitoring and Optimizing Intelligent Systems' Performance:
    Continuously assessing the performance of active smart systems; identifying operational issues and proposing corrective measures; and collaborating on system upgrades and optimization.

  6. Documentation and Knowledge Transfer:
    Compiling technical documentation, reports, and user manuals; conducting training sessions; and sharing technical expertise.

  7. Research and Development:
    Tracking emerging technologies in the field of artificial intelligence; researching potential applications within the university ecosystem; and proposing innovative solutions.