CCBM Course in Saudi Arabia - Certified Compensation and Benefits Management
32-hour CCBM training with 9 practical modules
Design equitable salary bands, incentives & benefits
Use Microsoft Copilot for benchmarking & pay equity
Test pay scenarios in an Automation Sandbox
Create a board-ready rewards proposal through simulation
4.5/53860 EnrolledEnrolled Learners
4.5/53860 EnrolledEnrolled Learners
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
Upcoming sessions
Curriculum
1
The environmental factors affecting compensation and benefits
2
Government regulation & social security in compensation
3
Social changes & demographics in compensation
4
Changes in compensation due to collective bargaining
5
Changes in the compensation administration due to outsourcing & globalization
AI Integration
- Analyse compensation strategy documents using AI to identify alignment gaps with business goals.
- Support total rewards framework design by generating motivation-theory summaries with AI assistance.
1
Government regulation and social security
2
Social changes and workforce demographics
3
Collective bargaining and union impact
4
Outsourcing and globalisation effects
5
Cross-border and multi-site pay considerations
6
Compliance risk identification and scanning
AI Integration
- Analyse real-time regulatory updates across regions using AI-powered compliance tracking tools
- Support demographic trend analysis by prompting AI to surface workforce shift data for planning
1
Job analysis methods and outputs
2
Writing accurate job descriptions
3
Job evaluation methods compared
4
Point-factor plan design and scoring
5
Compensable factors and degree levels
6
Job grading structure and grade descriptors
AI Integration
- Analyze job description text with AI tools to identify missing compensable factors automatically.
- Support point-factor scoring consistency by using AI to flag outlier grade assignments across roles.
1
Pay grades, range spreads, and midpoints
2
Internal and external equity principles
3
Pay compression and inversion diagnosis
4
Salary band overlap and structure design
5
Pay equity audit by grade and role
6
Corrective action planning within budget
AI Integration
- Analyze salary distribution data with AI to detect pay compression and equity anomalies quickly.
- Support range-spread modelling by using AI scenario tools to test midpoint and overlap options.
1
Sourcing and evaluating salary survey providers
2
Reading and ageing survey data
3
Market positioning: lead, lag, or match
4
Compa-ratio and pay range penetration
5
Merit matrix and bell-curve distribution
6
Increment budgeting and affordability modelling
AI Integration
- Analyze salary survey datasets using AI benchmarking tools to surface market-aligned pay ranges.
- Support increment budget modelling by using AI to run affordability scenarios across grade levels.
1
Short-term incentives: bonuses and commissions
2
Long-term incentives: equity and deferred pay
3
Skill-based and competency pay design
4
Executive and sales compensation structures
5
Eight steps to build a variable pay system
6
Incentive eligibility, funding, and payout schedules
AI Integration
- Analyze performance data with AI to recommend incentive payout distributions across employee tiers.
- Support variable pay plan design by using AI to model funding scenarios at different performance levels.
1
Mandated and statutory benefits overview
2
Security, insurance, and retirement plans
3
Time-off policies and leave entitlements
4
Flexible and cafeteria-style benefits design
5
Non-monetary rewards and recognition programmes
6
Benefits vendor selection and cost control
AI Integration
- Analyze employee benefits utilisation data with AI to identify underused or high-cost plan elements.
- Support flexible benefits design by using AI to model cost outcomes across different employee segments.
1
Compensation technology platforms overview
2
AI tools for salary benchmarking and analytics
3
Automation Sandbox: testing pay plan scenarios
4
Pay transparency legislation and implications
5
Skills-based pay and remote-work allowances
6
ESG-linked incentives and emerging reward trends
AI Integration
- Analyze compensation datasets using Microsoft Copilot to generate benchmarking and equity reports.
- Support trend monitoring by prompting AI tools to surface emerging pay transparency and ESG developments.
1
Integrating job grading and salary structure
2
Incentive design and benefits mix summary
3
Regulatory compliance checklist preparation
4
Total rewards communication plan design
5
Audience-specific messaging:management vs. employees
6
Proposal presentation and stakeholder Q&A
AI Integration
- Analyze the draft compensation proposal using AI to check for internal consistency and equity gaps.
- Support communication plan drafting by using AI to tailor reward messaging for two distinct audiences.
Total Rewards Redesign for a Multi-Site Cross-Industry Organisation
Participants take on the role of a newly appointed Compensation and Benefits Manager for a mid-sized organisation operating across three business units in Banking, Retail, and Professional Services. The organisation has grown rapidly through acquisition, leaving behind a fragmented pay structure with inconsistent job grades, no formal benchmarking process, and a benefits package that varies arbitrarily by site. Employee relations concerns about pay fairness are escalating, and the CFO has mandated a cost-neutral total rewards review within one quarter. Participants must diagnose the current state, identify the most critical equity and compliance gaps, and agree on a redesign scope before the simulation clock starts.
Working in cross-industry teams, participants apply point-factor job evaluation to a set of benchmark roles, build a unified salary structure with five pay grades, and model the cost impact of moving out-of-range employees to the new bands. They then design a short-term incentive framework for the sales unit and a flexible benefits menu for the retail workforce, selecting vendors and estimating total cost. The simulation concludes with each team presenting a board-ready Compensation and Benefits Proposal, including a compliance checklist and a two- audience communication plan, to a panel of facilitators acting as senior leadership. Feedback is given in real time, mirroring the stakeholder scrutiny participants will face in their actual roles.
Compensation Benchmarking and Pay Equity Automation Practice Environment
Participants enter a simulated compensation technology environment pre-loaded with anonymised salary survey data, job grading outputs, and a live HR analytics dashboard. Using AI-assisted tools including Microsoft Copilot and a compensation modelling platform, they automate the benchmarking workflow from data ingestion through market-position calculation to pay range recommendation. The sandbox is structured so that participants can test multiple positioning strategies, lead, lag, or match, and immediately see the cost and equity implications of each choice without risk to real payroll data. Each participant works through a guided scenario that mirrors the benchmarking cycle they will manage back in their organisation.
In the second phase of the sandbox, participants use generative AI prompts to draft merit matrix templates, model increment budget scenarios, and generate a pay equity summary report flagging compression and outlier cases. Automated workflows are built to pull updated survey data, apply ageing factors, and refresh pay range midpoints on a defined schedule. Governance checkpoints are embedded throughout: every AI-generated output requires human review and sign-off before it is accepted into the compensation record, reinforcing the principle that technology supports, but does not replace, professional judgment. Participants leave with a reusable automation workflow they can adapt and deploy in their own compensation administration cycle.
Meet your Trainer
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
Learning Outcomes
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
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.
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
Prerequisites
To enroll for this CCBM course in KSA, we do recommend professionals have:
- A Bachelor's degree or higher
- 2-3 years of work experience in the compensation & benefits field
- Commit to adhering to the Code of Ethics set by global bodies
Overall ratings by our students
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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:
- Senior HR
- HR Specialist
- Payroll Officer
- HR Manager
- 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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