DataSphere SME (Data & AI)

About the Job:
The company Global Insights & Data business line is a market leader in data, platform, and analytics across various sectors including financial services, consumer products, manufacturing, and life sciences. The role of the SAP Datasphere SME involves architecting, designing, and delivering modern data solutions leveraging SAP Datasphere (formerly SAP Data Warehouse Cloud), along with SAP BW/4HANA, SAP Analytics Cloud, and wider enterprise data platforms.

Key Responsibilities:

• Lead the design and implementation of SAP Datasphere solutions including data models, semantic modeling, data federation, and virtualization.
• Define architecture for integrating Datasphere with SAP S/4HANA, BW/4HANA, SAP Analytics Cloud (SAC), and non-SAP systems.
• Design scalable and secure data pipelines using Datasphere Data Builder and Data Integration services.
• Act as the primary technical lead for Datasphere initiatives and conduct requirement gathering workshops with business stakeholders.
• Develop and optimize Analytical, Relational, Dimension, and Fact Models in SAP Datasphere.
• Ensure data quality, lineage, and metadata management are consistently applied.
• Implement and manage role-based security, data access policies, and compliance with enterprise standards, including GDPR.

Technical Skills and Experience:

• Experienced in SAP data warehousing (BW, BW/4HANA, HANA Native).
• Hands-on experience with SAP Datasphere and strong expertise in SAP HANA SQL & Calculation Views.
• Proficiency in cloud platforms such as SAP BTP, Azure, AWS, or GCP.
• Familiarity with ETL/ELT tools (BODS, SDI/SDQ, Data Intelligence is a plus).

Soft Skills:

• Strong leadership and team coordination skills.
• Excellent communication and stakeholder facing abilities.
• Analytical mindset with problem-solving skills.

Preferred Qualifications:

• SAP Datasphere certification (if available).
• SAP HANA or SAP BW/4HANA certifications.
• Experience in enterprise data strategy, governance, or large digital transformation projects.

Language Requirements:
No specific language requirements mentioned.