SAP FI/CO Services Architecture Senior Specialist 

Germany, Baden-Württemberg 

820309410

YOUR FUTURE POSITION

As a Services Architecture (Senior/Principal) Specialist (f/m/d), your job will involve working in a global team focusing on delivering international data transformation projects (System Landscape Transformation aka “SLO” and Transition to S/4 HANA, using DMLT’s tools and services).
Your main tasks are:

• Identify customer’s business needs and support the design and architecture of the appropriate solution proposal from the Data Management & Landscape Transformation (DMLT) portfolio.
• Conduct feasibility studies and system analyses, supported by SAP DMLT technology and methodology.
• Lead and facilitate customer’s workshops and discussions to validate the best solution design for the customer's requirements.
• Architect scalable and robust data migration/conversion solutions adhering to SAP best practices and financial industry standards.
• Support and/or lead the delivery of DMLT projects remotely and onsite, in distributed regional and global teams.
• Collaborate cross-functionally with business analysts, data engineers, and developers to ensure smooth execution of FI/CO data migration and conversioninitiatives and projects.
• Provide deep expertise in SAP FI/CO data migration and conversion tools and technologies, guiding the customer teams to make informed decisions.
• Develop and document precise technical specifications, data mapping, and transformation rules, ensuring the accuracy and integrity of financial data.
• Monitor and troubleshoot data migration/conversion processes, proactively identifying and resolving technical issues.
• Support internal initiatives to further enhance existing or develop new, finance-related DMLT services and solutions.
• Stay current with the latest advancements in SAP FI/CO data migration technologies and industry trends.

YOUR PROFILE

• University degree (Bachelor/Master) or equivalent relevant job experience
• Deep functional expertise in SAP S/4 HANA FI and/or CO, plus experience in at least one additional of the following modules is a must: FI-AA, CO-PA, CO-PS, EC-PCA, FSCM, FI-CA)
• Minimum 7 years (preferably international) SAP consulting experience; SAP DMLT tools and methodology and data migration/conversion experience is a plus
• Relevant SAP Technology experience, SAP Business Technology Platform (BTP) is a plus
• Integration and 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
• Excellent communication and moderation skills, strong team spirit
• Fluent English and German language skills are 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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