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Data Management Expert at stc Kuwait
, , -
Full Time

Start Date

Immediate

Expiry Date

02 May, 26

Salary

0.0

Posted On

01 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Architecture, Data Models, Data Pipelines, Data Warehouse, Data Mart, Analytics, Business Intelligence, Data Quality, Data Governance, Metadata, Data Lineage, Technical Leadership, Collaboration, Business Requirements, KPI, Metrics

Industry

Telecommunications

Description
stc Kuwait is actively recruiting for the role of Data Management Expert. In this role, you will be assists in executing all advertising activities required to promote stc products and services and improve the corporate image of stc. Roles And Responsibilities Your responsibilities will include, but not be limited to, the following: Design, maintain, and govern enterprise data architecture and data models aligned with business, analytics, and telecom domain requirements. Develop, optimize, and modernize scalable data pipelines and data warehouse/data mart solutions, ensuring accurate and timely ingestion from multiple source systems. Enable analytics and BI by building analytics-ready data marts, supporting dashboards and reports, and ensuring KPI and metric consistency across platforms. Ensure high standards of data quality, governance, metadata, and lineage while documenting data models, transformations, and business rules for reuse and scalability. Collaborate closely with business, BI, IT, and vendor teams to translate requirements into effective data solutions and provide technical leadership across data projects. To apply for this role, you must meet the below minimum qualifications: Bachelor's Degree Minimum 8 years of relevant Experience. Fluent English and Arabic skills (written and spoken) required.
Responsibilities
The Data Management Expert will design and maintain enterprise data architecture and data models while developing scalable data pipelines. The role also involves enabling analytics and ensuring high standards of data quality and governance.