7 New Vacancies at Yas April 2026

Table of Contents

7 New Vacancies at Yas April 2026, We are committed to equal employment opportunities and unbiased treatment of all individuals in all employment practices”. Only shortlisted applicants will be contacted.

1: Revenue Assurance Operations Manager

Eligibility Requirements

Bachelor of Science in computer engineering and information technology.

Minimum of 5+ years in Revenue Assurance, Billing, Finance Operations, Risk, or Internal Controls.

Professional certification in finance, audit, or RA is a plus.

Core Responsibilities

To systematically analyze possible frauds risk within the company.
To design policies & procedures to help the company prevent fraud and revenue leakage.
To prevent and detect external & internal fraud as well as revenue leakage.
To identify high risk areas & processes for fraud and revenue leakage and establish methods for detection, measurement & monitoring.
To analyse anomalies in different business processes that could mean potential risk for fraud.
To prepare training programs on Fraud for all employees.
To analyze the billing systems reports in order to prevent and detect fraud and revenue leakage.

Competencies

Analytical & Problem-Solving skills
Excellent Communication skills
Teamwork spirit, ability to work independently with minimum supervision and meet deadlines.
Leadership & People Management
Financial & Risk knowledge

2: IT Infrastructure Engineer

Eligibility Requirements

BSc. Computer engineering/ computer science / MBA.

2 years minimum working experience on server, storage Hardware and related components.

Core Responsibilities

Install and configure new databases and servers (SQL, MySQL, Oracle MongoDB, MariaDB Windows, Unix, Linux.) Virtualization (VMware, Hyper-V, OpenStack) and storages.
Perform routine preventive maintenance tasks such as backups, Monitoring, capacity planning and performance.
Diagnose and Identify problems that can affect database availability or performance. Assure technical service for installed equipment.
Ensure that databases installations are done according to recommended standards and servers installed with databases are neatly installed according to best practices within the datacentres.
Assist backup team to ensure that database nodes and servers backups are done appropriately.

Competencies

Good communication and interpersonal skills.
High level of integrity.
Experience in virtualization, VMware, Hyper-V, and OpenStack.
Working knowledge of system administration on UNIX, Linux, Windows.

3: Data Transformation Manager

Eligibility Requirements

Bachelor’s or master’s degree in computer science, Information Systems, Mathematics, or a related quantitative field.

Minimum of 5+ years in analytics engineering, business intelligence, or data warehousing, with proven experience on data transformation focusing on post-loaded data manipulation.

Core Responsibilities

Data Transformation & Modelling – Design and implement scalable data transformation layers and business-ready data models to support analytics and reporting.
Process Mapping & Optimization – Document current workflows, identify inefficiencies, and redesign processes using appropriate tools.
Data Quality & Governance – Establish data quality controls, documentation standards, and governance frameworks to ensure metric consistency.
Stakeholder & Business Alignment – Translate business requirements and logic into standardized, reusable data models, SQL, or dbt code.
Cross-Functional Collaboration – Work closely with data engineering, BI, analytics, and business teams to ensure solutions meet expectations and deliver value.

Competencies

Expert-level SQL skills with the ability to write, optimize, and debug complex queries for large-scale datasets.
Deep understanding of data modelling concepts.
Strong Analytical Skills.

4: AI/ML Engineer

Eligibility Requirements

Bachelor’s or master’s in data science, AI, Computer Science or related field.

3–4 years ML engineering experience. Telecom analytics experience preferred.

Core Responsibilities

Design, develop, train, evaluate, and refine machine learning models for use cases including customer churn prediction, revenue forecasting, anomaly detection, demand planning, customer segmentation, and network optimization.
Collaborate with DWH and data engineering teams to design data structures that support feature stores and ML training pipelines.
Implement security controls for AI/ML services, including access control, data protection, and secure inference.
Conduct data exploration, statistical analysis, and hypothesis testing to identify patterns and validate model assumptions.
Perform ML tests and statistical analysis to fine-tune model systems and improve accuracy, robustness, and interpretability.
Extend existing ML libraries, frameworks, and internal tools to meet evolving business needs.

Competencies

Python (Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch).
Strong SQL skills for feature extraction, data querying, and transformation from data warehouse sources.
Hands-on experience with Scikit-learn for classical ML model development, validation, and evaluation.

5: Regional Stores Manager

Eligibility Requirements Bachelor’s degree in business administration, Marketing, or related field. Minimum 5 years of experience in Stores/Retail management (telecom experience preferred).

Core Responsibilities

Champion a customer-first culture across all stores
Deliver targeted NPS and CSAT performance for the region
Ensure consistent execution of customer journeys and service standards
Actively monitor Voice of Customer (VoC) insights and implement improvement actions
Reduce customer complaints and improve first-contact resolution
Ensure all stores operate in line with defined SOPs, policies, and compliance standards
Maintain store uptime (systems, network, and infrastructure) ≥99%
Oversee stock management, merchandising, and visual standards
Drive achievement of regional revenue, sales, and profitability targets
Monitor and improve KPIs such as conversion rate, ARPU, upsell and cross-sell performance
Lead, coach, and develop Store Supervisors and frontline teams

Competencies

Customer relationship management skills
Leadership skills
Analytical skills
Good communications skill

6: Shared Services Manager – Data Transformation

Eligibility Requirements

Bachelor’s degree in finance, Commerce, Marketing, Business Administration, Economics, Accounting or a related field.

Experience in a similar role demonstrating outstanding technical, financial and analytical capabilities – minimum of 5 years.

Core Responsibilities

Budgeting & Forecasting – Manage budgets, forecasts, and cost tracking across business units in line with MSAs.
Financial Performance Management – Monitor financial performance, analyse variances, identify risks/opportunities, and ensure accurate accruals.
Strategic Business Partnering – Provide financial insights to stakeholders to support decision-making and project delivery.
Performance Reporting & Insights – Develop KPIs, dashboards, and scenario models to drive accountability and performance.
Governance & Operational Efficiency – Ensure compliance, data integrity, and drive process improvements and automation.

Competencies