| opening for SAP MDM Analyst Exp; 9 + @ Remote at Remote, Remote, USA |
| Email: [email protected] |
| Position: SAP MDM ANALYST exp: 9+ Location: REMOTE Job Description: Design and implement the new Master Data Strategy operating model (material & production master), sharing best practice across the organization and delivering a first-class data management service to the network. Responsible and accountable for creating policies, guidelines, business definitions, metrics, and standards for handling operations data specific but not limited to Materials Master, Production Master Evaluate current data workflows, identifying opportunities for streamlining, automation, and advanced data management techniques. Partner with local affiliates, various regional and global teams, lead design and delivery of end-to-end data processes on MDM, including data stewardship processes. Responsible for the management of data integration compliant with multi-national data regulations, working closely with various stakeholders, producing transparent reporting on transactional data methods as needed. Collaborate with enterprise architecture team, define key data domains and attributes to help standardize the data model to drive data quality across the global enterprise. Engage actively in cross functional projects, ensuring seamless integration of master data across varied systems and applications. Develop and maintain effective KPIs to manage data integrity, and SLA adherence. End to end ownership of materials master & production master data management business operations. Collaborate closely with the enterprise-MDM team to ensure holistic end to end use cases related to MDM are considered and reviewed. Govern and evolve current data integration standards policies and procedures. Remain current with industry trends, emerging technologies, and innovations in data governance, data management, and data privacy. The role will also include the following tasks: Leading Data Governance activities, ensuring quality of outcomes and adherence to timelines. Building and maintaining the data dictionary/catalog, data reviews and other sustainment processes Mapping data sources and collaborating with business/technical stewards to find opportunities to automate data collection. Performing data audits and reporting out to business partners Crafting quality checks, defining, and maintaining business rules, and performance reporting and visualization Keywords: |
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| Wed Oct 11 22:22:00 UTC 2023 |