Introduction
A career in IBM Consulting is rooted in long-term relationships and close collaboration with clients across the globe. You’ll work with visionaries from multiple industries to advance the hybrid cloud and AI journey for the world’s most innovative and valuable companies. Your ability to accelerate impact and drive meaningful change for your clients is enabled by our strategic partner ecosystem and robust technology platforms across the IBM portfolio.
In this role, you’ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients worldwide. Our delivery centers provide clients with based skills and technical expertise to drive innovation and the adoption of new technologies.
Your Role And Responsibilities

Manage end-to-end projects on SAP Datasphere, from requirements gathering to solution design and implementation.
Collaborate with technical and functional stakeholders to define data architectures and integration strategies.
Prepare technical documentation and ensure the quality of proposed solutions.

Preferred Education
Bachelor's Degree
Required Technical And Professional Expertise

Experience:
Over 8 years in SAP Business Intelligence.
At least 2 years of experience on SAP Datasphere projects.
Knowledge of business processes and proficiency in at least one SAP area.
English language proficiency at least at B2 level.
Technical Skills:
In-depth knowledge of SAP Datasphere:
Data modeling (relational views, analytical datasets, semantic models)
Use of Data Builder and Business Builder
Management of Spaces and authorizations
Data Flows and integration scenarios with BW, S/4HANA, SAP HANA, and external systems
Experience with complementary tools: SAP BW/4HANA, SAP HANA, SAP Analytics Cloud
Basic knowledge of SQL and scripting for data transformation
Experience in hybrid (cloud/on-premise) and multi-source environments

Preferred Technical And Professional Experience

SAP certifications on Business Data Cloud.
Experience in migration and cloud adoption projects.
Familiarity with modern data architecture concepts: data lake, data mesh, data fabric.

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