Architect - SAP MDG

Overview

The PGT MDG Solution Architect will be responsible for maintaining the techno-Functional integrity of the PGT MDG (Master Data Governance) solution. This role will report to the PGT MDG Design Lead and will partner with the PGT Data Solutions Design team to ensure that the MDG Platform supports the business requirements in a scalable and effective manner.

The objective of this role is to ensure that master data requirements are accurately designed, thoroughly documented, and aligned with the PepsiCo Global Template solution, in close collaboration with the Value Stream/process teams, Global Process Leads (GPLs), project deployment teams, and in support of Cloud and AI solutions.

Responsibilities

• Architect and implement end-to-end SAP MDG solutions integrated with cloud platforms and Design of SAP MDG processes across business units and analyse current-state data best practices and contribute to the definition of future-state solutions.
• Support the Development and Sector DSO teams in MDG configuration and development of Material/ Business Partner/ Customer/ Vendor/Financial Objects required and the ability to advise on the best practices in SAP MDG solution stack.
• Design, development, and deployment of SAP MDG S/4 solutions in cloud environments (e.g., SAP BTP, Azure) and able to drive cloud-based data migration and integration strategies.
• Design of AI-enabled data quality frameworks, including machine learning models for data validation, classification, enrichment, and anomaly detection.
• Provide best practice and development expertise in replication frameworks with data transfer, SOA, ALE/IDOC, key & value mapping, and CMP.
• Understand impacts of PGT data requirements for BP to OTC/PTP and MM to MTD with existing PepsiCo global/sector solutions with a particular focus on Customer/Supplier & Material Master data.
• Participation in PGT Data Governance processes to ensure impacted stakeholders across PepsiCo are aware of new or changes to data standards.

Qualifications

• Bachelors degree in computer science, Information Technology, or related field preferred.
• 8+ years of experience working in a technology role supporting SAP deployment projects (S/4HANA experience preferred)
• 6 + years of experience in Master Data Governance.
• Strong experience in implementation and integration of SAP MDG Technical solutions for various data domains like Customer /Vendor and Material master.
• SAP Master Data design principles and key concepts of master data governance and MDG hub architecture in a global / multi-national organization.
• Strong Knowledge in MDG Cloud & AI Methodologies.
• Strong Knowledge of Key Mapping, Value Mapping, Process Model configurations, replication model configurations, Replication filters, country-specific checks, Partner profiles, workflow configurations.
• Strong domain knowledge of core SAP data models Material, Business Partner (including Customer and Vendor) and Finance domains. Enterprise Asset Management data domains from Utopia a plus.
• Stay current on trends and advancements in MDG, cloud data platforms, and AI/ML technologies.
• Hands on experience in ABAP Development and debugging of code to trouble shoot problems.
• Ability to understand complex functional and IT requirements and be able to identify and offer multiple solution options to facilitate the best outcome.
• Excellent oral and written skills to effectively communicate complex ideas and concepts and provide clear documentation to the management and executive leadership, and across multiple geographies.
• Ability to quickly adapt to changes in timelines and sequences, deal with ambiguity, and succeed against in a high-pressure environment.
• Trusted and respected as a thought leader who can influence and persuade business and IT leaders.
• Highly collaborative and supportive of business and of its ideals and strategies.
• Highly innovative with aptitude for foresight, systems thinking and design thinking.
• Vendor and technology- neutral more interested in achieving targeted business outcomes
• Practical in approach to problem solving and decision making.