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KHDA

CCBM Course in Dubai - Certified Compensation & Benefits Management

32-hour CCBM training with 9 practical modules

Design equitable salary bands, incentives and benefits

Use Microsoft Copilot for benchmarking and pay equity

Test pay scenarios in an Automation Sandbox

Create a board-ready rewards proposal through simulation

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4738 EnrolledEnrolled Learners
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4738 EnrolledEnrolled Learners

Overview

What you will master with us:

  • Studying total rewards strategy and its alignment with business objectives
  • Assessing government regulation, social security, and cross-border pay considerations
  • Evaluating jobs through point-factor plans and building salary grade structures
  • Interpreting salary surveys, market positioning, compa-ratios, and merit matrices
  • Comparing incentive designs, employee benefits options, and vendor cost controls
  • Practising through case studies, role-plays, and a compensation proposal capstone

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

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

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

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

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

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

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

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

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

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
Ashraf Shawky

Meet your Trainer

Ms. Marichu Sarabia

Ms. Marichu stands out as a distinguished corporate trainer, specializing in the Human Resources domain. Her illustrious career spans 6 years in the training industry, complemented by an impressive 13-year tenure as the Head of Human Resources. Throughout her extensive 19-year professional journey, Ms. Marichu has held key roles in Operations, Document Control, and various other capacities, amassing a wealth of expertise.

Apart from her multifaceted career, Ms. Marichu is recognized for her prowess in conducting personality development and other soft skills courses. She has orchestrated numerous successful Human Resources workshops and programs tailored for corporate delegates, aiding them in achieving professional excellence. Ms. Marichu's teaching philosophy goes beyond imparting skills; she believes in inspiring and motivating learners to reach their goals.

Ms. Marichu's commitment to empowering individuals for success is evident in the achievements of her students, a testament to her dedication and impact in the realm of corporate training. Her unique teaching style has garnered appreciation globally, with students attesting to the effectiveness of her approach.

Core Competencies:

  • Credit Control
  • Document Control
  • Public SpeakingCommunication Skills
  • Certified Training Manager
  • Train the Trainer
  • Problem-solving and Decision Making
  • Certified Strategic Manager
  • Executive Secretarial Management

Professional Qualifications:

  • Certificate of Completion Public Speaking Technical Training (2021)
  • Certificate of Completion for Personal Development and Self-Awareness (2020)
  • Certificate of UAE Labor Law Training (2019)
  • Certified Train the Trainer (2018)
  • Certified PECB ISO Certification Invigilator(2016)
Ms. Marichu Sarabia

Learning Outcomes

After the course concludes, you will be able to:

  • 1

    Apply point-factor scoring to rank jobs into a defensible hierarchy

  • 2

    Build salary grades and ranges that reflect internal and market equity

  • 3

    Interpret salary survey data to determine an appropriate market positioning strategy

  • 4

    Design incentive plans that link bonuses and increments to performance

  • 5

    Assess benefits options against workforce needs, budgets and regulatory requirements

  • 6

    Review AI-generated pay analysis before accepting it into compensation records

  • 7

    Use Microsoft Copilot to analyse pay data for equity gaps

  • 8

    Present compensation proposals and defend recommendations to senior stakeholders

  • objective-image

    Ready to get started?

  • 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.

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    Prerequisites

    The prerequisites required for this training course are as follows:

    • Possess 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

    Related courses

    Frequently asked questions

    The CCBM Course in Dubai is a professional program designed to strengthen organisational capability in compensation and benefits management. It equips HR professionals, compensation specialists, and business leaders with advanced skills to manage reward strategies effectively.

    Certified Compensation & Benefits Management (CCBM) enables HR teams to align pay structures with business goals, improve employee retention, and optimise reward systems. The training helps HR teams streamline compensation processes, ensure pay equity, and stay competitive in evolving market conditions.

    The CCBM course is designed for HR and reward professionals who want to move beyond routine pay administration into more strategic compensation and benefits work. It is particularly relevant for:

    • HR Executives and HR Managers
    • Compensation Analysts
    • Payroll Supervisors
    • HR Business Partners
    • Total Rewards Specialists

    Participants should have at least 2 years of HR work experience. It is especially useful for professionals targeting Compensation Specialist, Total Rewards, or HR Manager roles.

    The CCBM program at Learners Point in Dubai runs for 32 learning hours across 4 days. It is structured as an intensive program combining facilitator-led learning with workshops, case studies, simulations, and a capstone project.

    The four-day format takes participants from compensation fundamentals through job evaluation, salary benchmarking, incentive design, benefits management, and AI-assisted compensation tasks before concluding with a compensation and benefits proposal.

    Microsoft Copilot helps you visualize pay structures, run fairness checks and forecast compensation trends using real-time data.

    By integrating this tool within HR tasks, you gain hands-on experience designing equity-focused systems that balance automation accuracy with ethical human decision-making.

    In the Automation Sandbox, you will automate routine and data-intensive processes. Each workflow helps you understand how automation can save time while preserving strategic, human-led control. These processes are as follows:

    • Salary benchmarking and survey analysis
    • Benefits enrolment and claims monitoring
    • Compliance alerts and payroll checks
    • Reward and retention forecasting

    Organisations in Dubai benefit from employing CCBM-certified professionals who bring advanced expertise in data-driven compensation strategy. They help align pay structures with business objectives while improving pay equity and regulatory compliance. These professionals implement consistent and competitive reward frameworks across departments. As a result, it leads to efficient, transparent compensation practices as organisations scale and respond to market change.

    The CCBM certification is highly valued in sectors that require structured, compliant, and data-driven compensation strategies. Some of the key sectors are mentioned below:

    • Government and public sector: Supports pay equity, transparency, and consistency across large workforces
    • Healthcare and pharmaceuticals: Manages complex compensation across roles, shifts, and regulatory environments
    • Financial services: Enables competitive, compliant reward structures aligned with risk and governance expectations
    • Retail and hospitality: Standardises compensation across high-volume, multi-location operations
    • Construction and real estate: Supports reward planning for diverse, project-based employee groups
    • Technology and digital businesses: Uses data-driven rewards to attract and retain critical talent

    CCBM-certified professionals help align compensation practices with UAE labour regulations and GCC market benchmarks. This enables consistent pay decisions, stronger retention, and scalable workforce governance.

    There are numerous local networking opportunities for professionals who have completed the CCBM course in Dubai. These opportunities include industry-specific events, business forums, and professional associations, which provide a platform for networking and collaboration.

    Completing the CCBM training in UAE can significantly boost career prospects. Graduates are well-positioned for roles in compensation and benefits management, and they often enjoy higher salaries due to their specialized knowledge in this field, which is in demand in the Dubai job market.

    With the CCBM Certification, you can expect the following kinds of job roles in Dubai:

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

    Compensation and Benefits Certification Training offers specialised focus on technical and strategic aspects of pay structures, performance evaluations, total rewards and internal & external equity building in Dubai.

    On the other hand, a typical HR course deals with broader HR topics like employee relations, recruitment, training and development, resource management, organisational behaviour and developing a positive work culture.

    Yes. It will help you handle compensation-related tasks with more structure and confidence. You will learn how to build salary ranges, benchmark pay, review pay equity, plan increments, evaluate benefits, and support incentive decisions using clear data.
    The course will also help you explain compensation decisions more clearly to managers and employees, making day-to-day reward discussions more consistent, practical, and easier to defend.

    Yes. The course is particularly useful if you already understand HR fundamentals but want to build more specialised reward-management skills.
    Rather than focusing only on salary processing or annual increments, participants learn how to evaluate jobs, benchmark salaries, structure pay ranges, design incentives, and assess employee benefits. This makes the learning relevant for professionals aiming to progress toward Compensation Specialist, Total Rewards Specialist, or HR Manager roles.

    Evaluation is based on practical application rather than a single standalone exam. Throughout the course, participants complete workshops, case studies, simulations, and applied exercises.
    The final stage brings the learning together through a Compensation and Benefits Proposal, in which participants integrate:

    • Job grading and salary structures
    • Incentive and benefits recommendations
    • Compliance considerations
    • Total rewards communication
    • Stakeholder presentation and Q&A

    Certification is awarded after successful completion of the coursework, capstone project, and program assessment.

    Do you want to learn more about Learners Point Academy?

    • Learn more about courses
    • Understand about our methodology
    • Let’s talk about Corporate trainings
    • Anything else that you want to know, we are here for you!

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