Enterprise BI & Data Platform Lead

Al Safi Danone | الصافي دانون

Riyadh

On-site

SAR 300,000 - 520,000

Full time

16 hours ago
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Job summary

Al Safi Danone | الصافي دانون seeks an IT Business Intelligence Manager to lead enterprise BI architecture and the end-to-end data lifecycle. You will govern Power BI, Tableau, and Fabric deployments, drive platform modernization, and ensure scalable, secure insights across the organization.

Responsibilities include optimizing ETL/ELT processes, advanced DAX and modeling, and executive analytics. Collaboration with cross-functional teams across hybrid cloud and on-prem environments is essential.

Qualifications

  • Bachelor's degree in CS/IS or related field.
  • Extensive hands-on experience in enterprise BI, data warehousing, and analytics platforms.
  • Proven experience managing large-scale BI environments across hybrid cloud and on-premises infrastructure.

Responsibilities

  • Own the enterprise BI architecture across Power BI, Tableau, and Fabric, aligning with strategy and scalability.
  • Lead migration of reporting assets from Tableau to Power BI, including phase-down timeline.
  • Develop advanced DAX measures and analytical solutions for business use cases.
  • Administer Power BI workspaces and gateways, ensuring availability and governance.
  • Coordinate with network and systems teams to support hybrid infrastructure and analytics delivery.

Skills

Power BI
SQL Server
Data Modeling
Tableau
Microsoft Fabric
DAX
Governance

Education

Bachelor's degree in Computer Science, Information Systems, Management Information Systems, or related field

Tools

Microsoft Fabric
OneLake
Purview
Azure VPN
Tableau Server

Job description

Al Safi Danone | الصافي دانون seeks an IT Business Intelligence Manager to lead enterprise BI architecture and the end-to-end data lifecycle. You will govern Power BI, Tableau, and Fabric deployments, drive platform modernization, and ensure scalable, secure insights across the organization.

Responsibilities include optimizing ETL/ELT processes, advanced DAX and modeling, and executive analytics. Collaboration with cross-functional teams across hybrid cloud and on-prem environments is essential.

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