> Markdown version of [/jobs/ext/3953181-master-data-management](https://www.wearedevelopers.com/jobs/ext/3953181-master-data-management). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Master Data Management - **Company:** EXPERT RECRUITING SOLUTIONS, LLC - **Location:** Tampa, FL, United States - **Experience:** Expert - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Data Architecture, Data Cleansing, Data Governance, Data Migration, SAP (Applications), SAP NetWeaver Data Management, Systems Integration, SAP S/4HANA, Data Management, SAP Analytics Cloud - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/master-data-management-tampa-fl--1eecf0a8-9aa4-4850-8469-25bc3939a293 ## About the Role Master Data Management (MDM), Master Data Management (MDM), Willing to Travel, Consulting, SAP, System Integration (SI), Data Modeling, Work Breakdown Structure (WBS), Business Model, Automation, * Relevant SAP Certifications (e.g., SAP Certified Application Associate or Professional in SAP S/4HANA or Master Data Governance) are highly desirable. * Minimum of 8-10 years of experience in SAP data architecture, with deep technical proficiency in SAP S/4HANA, SAP Master Data Governance (MDG), and SAP Analytics Cloud (SAC). * Demonstrated success leading mass data migration and cleansing initiatives during large-scale SAP rollouts or Mergers & Acquisitions. ## Description * Design and own the master data architecture across the entire SAP S/4HANA landscape and its integrated peripheral systems. * Define the data models for core business entities, including Business Partners, Vendors, Materials, Equipment, Cost Centers, and WBS Elements. * Develop the long-term strategic roadmap for data automation, AI-driven data cleansing, and predictive data governance. * Establish and enforce enterprise-wide data standards, naming conventions, and data lifecycle policies governing Create, Read, Update, and Delete/Archive functions. * They goal in sap platform is to make data more accessible for users * They need to understand End to end architecture and be able to Figure out data models * Data governance will be important