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CCBM Course in Saudi Arabia - Certified Compensation and Benefits Management

16-hour training led by industry experts

7-course modules focusing on internal, external & individual equity

Experience smarter HR analytics with integrated AI tools

Test and refine compensation plans through Automation Sandbox

Insights into compensation practices specific to different regions

4.5/5

3860 Enrolled

Overview

What our training includes:

  • Complete understanding of compensation & benefits
  • Focus on internal, external & individual equity building
  • CCBM Course in Saudi Arabia covers total reward planning
  • Learn the process involved in constructing a thorough compensation system
  • Includes real-world projects and interactive learning activities
  • Transform HR decision-making with Microsoft Copilot and Automation Sandbox experience

Learning Objectives

Once the course is completed, you will be able to:

  • 1

    Understand the importance of compensation in achieving HR goals

  • 2

    Learn to design and implement an effective compensation system

  • 3

    Evaluate job roles and choose suitable evaluation methods

  • 4

    Analyse and recommend regional pay practices

  • 5

    Conduct comprehensive compensation surveys

  • 6

    Design incentive and reward programs aligned with organizational goals

  • 7

    Ensure legal compliance in compensation management and benchmarking practices

  • objective-image

    Ready to get started?

  • Prerequisites

    To enroll for this CCBM course in KSA, we do recommend professionals have:

    • A Bachelor's degree or higher
    • Minimum 5 years of work experience in the compensation & benefits function
    • Commit to adhering to the Code of Ethics set by global bodies

    Overall ratings by our students

    Upcoming sessions

    Ashraf Shawky

    Ashraf Shawky is a seasoned training professional with over 15 years of experience in the UAE and MENA region. He began his career with the Oberoi Group in Egypt and later worked at Americana as a Training and Development Manager. He also served as Senior HR Manager for Emirates Flight Catering and HR & Development Manager for Faisal Jassim Group.

    Ashraf has delivered a wide range of training programs, including HR, leadership, and soft skills topics like Entrepreneurship, Leadership, HR Administration, and Strategic Management. He has conducted workshops for prominent organizations such as Emirates Foundation, Jumeirah Group, and ADNEC. His industry expertise enables him to provide practical, engaging learning experiences, particularly for UAE Nationals.

    Core Competencies:

    • Human Resources (HR)
    • Compensation & Benefits
    • Leadership Development
    • Supply Chain Management
    • Quality Management
    • Employee Relations
    • Performance Management
    • Talent Management

    Professional Qualifications:

    • Training and Development Manager - Americana
    • Senior HR Manager - Emirates Flight Catering
    • HR & Development Manager - Faisal Jassim Group
    • Trainer - Emirates Foundation, Jumeirah Group, ADNEC
    Ashraf Shawky

    KHDA Certificate

    Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

    Certifcate-Image0

    Learners Point Certificate

    Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

    Certifcate-Image1

    Related courses

    Curriculum

    • The environmental factors affecting compensation and benefits
    • Government regulation & social security in compensation
    • Social changes & demographics in compensation
    • Changes in compensation due to collective bargaining
    • Changes in the compensation administration due to outsourcing & globalization

    AI Integration in This Module:

    • Regulatory Tracking: Monitors real-time policy and compliance updates across regions
    • Compensation Benchmarking: Compares salary and benefit data using AI-driven insights
    • Demographic Analysis: Evaluates workforce trends for strategic planning and diversity goals
    • Compliance Validation: Ensures legal accuracy and alignment with cultural expectations
    • Human Judgment: Retains leadership control in negotiations and social interpretation
    • Compensation basics
    • Components of the compensation system
    • Equity theory

    AI Integration in This Module:

    • Pay Simulations: Runs scenario-based models to evaluate compensation outcomes
    • Fairness Modeling: Tests salary structures for equity and transparency assurance
    • Practical Application: Utilizes AI tools to design effective pay frameworks
    • Human Validation: Ensures fairness and organizational alignment through expert review
    • Empathetic Communication: Explains fairness concepts with clarity and human understanding
    • Job description
    • Establishing internal equity: job evaluation methods
    • Using job rankings
    • Creating job grading
    • Creating point plans
    • Hay plan overview

    AI Integration in This Module:

    • Role Drafting: Generates initial job descriptions using structured AI frameworks
    • Evaluation Scoring: Performs preliminary assessments for role alignment and value
    • Practical Application: Builds proficiency in AI-driven role-matching techniques
    • Human Oversight: Refines outputs for culture fit and strategic accuracy
    • Ethical Governance: Ensures pay decisions remain under expert human supervision
    • Different aspects of establishing external equity
    • Salary survey
    • Designing salary surveys
    • Periodicity of salary surveys
    • Performance pay options
    • Building performance pay systems
    • Steps in introducing pay for performance system
    • Pay for performance: the challenges

    AI Integration in This Module:

    • Data Aggregation: Gathers large-scale market and industry salary information
    • Trend Detection: Identifies emerging pay patterns across regions with precision
    • Strategic Interpretation: Aligns AI insights with cultural and business context
    • Human Judgment: Applies empathy in incentive design and motivation assessment
    • Balanced Approach: Combines AI analytics with organizational value-based decisions
    • Benefit plans
    • Mandated benefits
    • Security/Insurance benefits
    • Retirement benefits
    • Time off-related benefits
    • Non-monetary perquisites
    • Monetary perquisites
    • Cafeteria plan/flexible benefit plans

    AI Integration in This Module:

    • Personalized Modeling: Recommends benefit packages using demographic and preference data
    • Flexibility Analysis: Designs adaptive benefits through AI-powered scenario modeling
    • Fairness Validation: Ensures recommendations align with equity and budget standards
    • Human Sensitivity: Reserves hardship and personal cases for empathetic handling
    • Trust Preservation: Balances automation with dignity-centered employee support
    • Mandated benefit plans
    • Insurance plans
    • Retirement benefits
    • Time-off benefits

    AI Integration in This Module:

    • Process Automation: Streamlines enrollment, claim tracking, and usage analysis
    • Efficiency Tools: Enables automated reporting and compliance for HR teams
    • Insight Application: Improves plan design through real-time data interpretation
    • Human Recognition: Detects disengagement when AI replaces personal communication
    • Empathetic Support: Reinforces the need for direct, human-centered HR interaction
    • Reward strategy objectives
    • Components of total reward
    • Total reward planning

    AI Integration in This Module:

    • Predictive Modeling: Forecasts retention impact of diverse reward systems
    • Strategic Simulation: Runs ROI analyses for multiple reward scenarios
    • Data Application: Informs strategic planning through AI-driven insights
    • Human Alignment: Grounds final strategies in culture and organizational values
    • Authentic Motivation: Ensures recognition remains personal, meaningful, and human-centered

    Phase 1 – Task & Workflow Design

    Break C&B processes into benchmarking, design, administration, and communication. Assign AI to repetitive/data-heavy tasks (salary surveys, payroll compliance, benefits administration). Keep humans for fairness, culture, negotiation, and employee trust.

    Phase 2 – Strategic Implementation Choices

    Use AI for salary benchmarking, payroll compliance checks, and benefits automation. Retain human-led control in union negotiations, equity discussions, and employee recognition.

    Phase 3 – Productivity vs. Risk Analysis

    Quantify efficiency gains and accuracy improvements. Assess risks of bias, employee disengagement, or over-reliance. Build governance frameworks that balance AI efficiency with human empathy.

    Assessment:

    • Task: Design a workflow separating “AI Agent-led” vs “HR-led” processes.
    • Deliverable: Workflow diagram + short justification.
    • Outcome: Learners create balanced AI-human C&B workflows for sustainable HR.

    Frequently asked questions

    Our CCBM Course in Saudi Arabia is designed for organisations seeking greater control and consistency in wage and salary administration. It builds structured capability in compensation, benefits, and rewards management across HR and Total Rewards teams. The program aligns reward frameworks with business priorities and governance expectations.

    The course develops clarity in compensation fundamentals, reward design, and global trends. It addresses internal equity, external benchmarking, and performance alignment within Total Rewards planning. Learning is reinforced through an Automation Sandbox that enables data-led analysis, scenario testing, and workflow standardisation. This improves decision discipline and execution consistency across teams. Key areas covered in the program are as follows:

    • Compensation and Benefits Environment
    • Rewards & Basics of Compensation
    • Building Internal Equity
    • Building External Equity
    • Developing Individual Equity
    • Benefit Plans
    • Total Reward Planning

    The eligibility criteria for this training course are as follows:

    • Possess a Bachelor's degree or higher
    • Accumulate a minimum of 5 years of experience in the compensation & benefits field
    • Commit to adhering to the Code of Ethics set by global bodies

    The CCBM Course in Riyadh caters to HR professionals aiming to enhance their skills in compensation and benefits management. The list is as follows:

    1. Senior HR
    2. HR Specialist
    3. Payroll Officer
    4. HR Manager
    5. HR Admin Manager

    By completing the CCBM course, organisations in Saudi Arabia can expect the following business outcomes:

    • Standardised decision-making: Apply consistent compensation logic across departments and locations
    • Stronger governance: Improve control and discipline across salary review and reward cycles
    • Consistent grading and pay actions: Reduce variation in grades, pay ranges, and compensation decisions
    • Cleaner approval documentation: Strengthen justifications, audit trails, and leadership sign-offs
    • Fewer policy exceptions: Minimise ad-hoc decisions through structured compensation rules
    • Reduced escalation loops: Decrease back-and-forth between HR, finance, and line managers
    • Clearer manager decision support: Improve confidence and clarity in pay recommendations
    • Improved workforce stability: Reinforce fairness and retention in fast-scaling KSA environments.

    You will develop hands-on experience in designing and managing HR-AI workflows. These skills prepare you for real-world compensation leadership roles in modern HR ecosystems. Key skills include:

    • Building balanced “AI Agent-led” vs. “HR-led” processes
    • Conducting productivity vs. risk analysis
    • Drafting automation governance frameworks
    • Testing compensation models for bias and accuracy

    AI tools like Microsoft Copilot integrated across different CCBM modules in KSA, from drafting job descriptions to modeling total rewards.

    This ensures you gain consistent exposure to automation concepts while mastering how to use them responsibly across diverse HR functions.

    Yes. The Automation Sandbox lets you test and measure AI's accuracy and risks through this training in Riyadh. This structured evaluation builds confidence in balancing productivity with ethical responsibility. You will assess the following:

    • Efficiency gains and accuracy rates
    • Risks of bias or disengagement
    • Situations where human judgment must override AI results

    Organisations in Saudi Arabia typically sponsor CCBM cohorts when compensation decisions must remain consistent, scalable, and governance-led across departments and sites. Some of the common sectors and priority use cases are as follows:

    • Government-linked entities: Standardise grading, allowances, and approval processes across departments
    • Healthcare groups: Improve pay parity, govern shift allowances, and support retention-focused rewards
    • Financial services: Strengthen compensation controls, documentation, and audit-ready approvals
    • Retail chains: Scale salary reviews across branches using consistent bands and eligibility rules
    • Hospitality and tourism: Manage seasonal pay structures, incentives, and benefits consistently
    • Logistics and supply chain: Align pay with shift patterns, roles, and multi-site workforce needs.

    A few of the most popular compensation and benefits management jobs available in KSA are as follows:

    • Compensation and Benefits Managers
    • Employee Relations Managers
    • HR Generalists
    • HR Managers
    • HR Directors

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