SAP Data Migration Solutions Architect 

South Africa, Gauteng, Sandton 

769022968

Your main tasks are:

• Identify customer's business needs and designing and architecting the appropriate solution proposal from the Data Management & Landscape Transformation (DMLT) portfolio and beyond.

• Lead and drive customer opportunities throughout all engagement phases (presales, sales and delivery) and architecting potential solution design.

• Lead and facilitating customer's workshops and discussions to validate the best solution design for the customer's requirement.

• Lead the delivery of DMLT projects remotely and onsite, in distributed regional and global teams.

• Conduct feasibility studies and system analyses, supported by SAP DMLT technology and methodology.

• Contribute to continuously enhance the DMLT solution design according to changing market requirements and identify potential enhancements, continuously improving our service offering.

• Closely collaborate with people in different roles across the company.

• Establish and maintain trustful relationships with Market Unit colleagues on all levels, of both externally on customer side and SAP internally and externally.

YOUR PROFILE

• University degree (Bachelor/Master) or equivalent relevant job experience.

• Minimum 10 years (preferably international) SAP consulting experience in customer engagement and technical role.

• Has worked as enterprise architect or advisor to customers helping customers build their IT Roadmap leveraging SAP Products and services.

• Has strong networking skills, a positive customer centric work attitude.

• Has a strong understanding of SAP ECC / S4HANA data model with sound understanding processes in at least 2 of the application modules – SAP Finance, Controlling MM, SD, PP, PM.

• Has strong exposure to working with SAP Customers from different industry segments such as Public Sector, Manufacturing, Retail, Consumer Goods, Utilities, Automobile etc.

• Has led minimum 3 - 4 complex data migration projects to SAP S4HANA.

• Have experience in positioning services in the area of data migrations, data transformations, Mergers, Acquisitions and Divestitures.

• SAP DMLT tools. methodology and data migration experience is beneficial.

• Relevant SAP Technology experience, SAP Business Technology Platform is a plus.

• Process know-how for essential business processes like Lead-2-Cash, Procure-2-Pay, Design-2-Operate or Hire-2-Retire are a strong asset.

• Additional experience in SAP S/4HANA, BW/BW4, CRM and CX, SRM and ISM, HCM/SuccessFactors, Data Management Solutions (MDG, ILM,..) or SAP Industry Solutions is a benefit.

• Proven track in C-level communication.

• Excellent communication and moderation skills, strong team spirit. Fluency in English required.

Data Management and Landscape Transformation is a global Service Delivery organization within the Board Area Customer Success. We advise our customers in strategy definition, conceptual planning, and the realization of their business and technological transformation requirements for the digital economy.

Data Management and Landscape Transformation services offer a holistic approach for customers data-related needs with data quality and data integration services. The DMLT group serves SAP customers in managing their data and transforming their landscapes. Business, market, and technology changes result in realignment of business processes and structures. This reflects in various transformation and transition activities, such as

• Fast-track data migration and (selective) transition to the Intelligent Enterprise Suite (IES) (SAP S/4HANA cloud, SAP S/4HANA, BW/4, C4/H, SuccessFactors, SAP Data Intelligence and more).

• Manage business challenges that come with mergers, acquisitions, and divestitures.

• Optimization of processes and data, or organizational restructuring by ensuring data harmonization, data restructuring or the consolidation of system landscapes.

• Improve management of data from strategy to execution, with the focus on data quality, data privacy, data volume and lifecycle, data integration, and master data management.

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