Manager, Data Modeling

SAUDI AIRLINES; Jeddah; On-site; SAR 350,000 - 550,000; Full time

Job summary

SAUDI AIRLINES is seeking a Data Modeling Manager to lead enterprise data modeling, governance, and continuous improvement. You will work with business stakeholders, data engineers, and analytics teams to ensure scalable data structures that support BI, reporting, and decision-making.

The role requires extensive experience in data modeling, architecture, and governance, with hands-on tool proficiency and the ability to mentor teams and align with enterprise standards.

Qualifications

• Bachelor’s degree required.
• 10+ years in data modeling/architecture/warehousing.
• Experience with conceptual/logical/physical data models.
• Hands-on with relational DBs, data warehouses, and analytic platforms.
• Strong understanding of ETL/ELT, data integration and governance.
• Experience with data modeling tools (ER/Studio, SAP PowerDesigner).
• Ability to translate complex requirements into scalable data solutions.

Responsibilities

• Lead development of conceptual, logical, and physical data models.
• Define and maintain data modeling standards and best practices.
• Collaborate with stakeholders to translate requirements into models.
• Design scalable data structures for data warehouses and analytics platforms.
• Ensure data models support BI, reporting, and analytics.
• Review models and ensure alignment with architecture and governance.
• Provide leadership and mentorship to modeling teams.
• Evaluate new modeling approaches and technologies.
• Ensure compliance with policies and regulatory standards.

Skills

Data modeling

Data architecture

Stakeholder collaboration

Mentorship

Regulatory compliance

Education

Bachelor’s degree in Computer Science/Information Systems/Data Management

Tools

ER/Studio

SAP PowerDesigner

Job description

Job Purpose:

The Data Modeling Manager is responsible for leading the design, development, governance, and continuous improvement of enterprise data models to support business intelligence, analytics, reporting, and data-driven decision-making. The role works closely with business stakeholders, data architects, engineers, and analytics teams to ensure data is structured, integrated, governed, and optimized according to business and technical requirements.

Key Responsibilities:

• Lead and manage the development of conceptual, logical, and physical data models across the organization.
• Define and maintain data modeling standards, methodologies, naming conventions, and best practices.
• Collaborate with business stakeholders to understand business requirements and translate them into effective data models.
• Design scalable and high-quality data structures for data warehouses, data lakes, and analytical platforms.
• Ensure data models support business intelligence, reporting, analytics, and operational requirements.
• Review and approve data models developed by data architects, analysts, and engineers.
• Establish data relationships, entities, attributes, keys, hierarchies, and business rules.
• Ensure alignment between data models, enterprise architecture, data governance, and information management strategies.
• Identify opportunities to simplify, optimize, and improve existing data models and data structures.
• Work closely with Data Engineering teams to ensure the successful implementation of data models.
• Support data governance initiatives by ensuring consistency, accuracy, integrity, and traceability of data.
• Maintain comprehensive documentation of data models, definitions, metadata, and data lineage.
• Lead data modeling projects and manage priorities, timelines, resources, and deliverables.
• Provide technical leadership and mentorship to data modeling and data architecture teams.
• Evaluate new data modeling approaches, technologies, and industry best practices.
• Ensure data models comply with organizational policies, security requirements, and applicable regulatory standards.

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related field.
• 10+ years of experience in data modeling, data architecture, data warehousing, or a related field.
• Strong experience with conceptual, logical, and physical data modeling.
• Hands-on experience with relational databases, data warehouses, and analytical data platforms.
• Strong understanding of data architecture, ETL/ELT processes, data integration, and data governance.
• Experience with data modeling tools such as ER/Studio, SAP PowerDesigner, or similar platforms.
• Ability to translate complex business requirements into scalable data solutions.