Gather, understand, and document enterprise data process requirements, functional requirements, and data quality requirements to establish trusted data sources and ensures the right controls are built around the creation and maintenance of Master Data through your organization.

More Uses of the Master Data Toolkit:

  • Confirm your organization strengthens accountability and alignment throughout the full data lifecycle through design and implementation of information policy, controls and guidance.
  • Collaborate with business process and data governance managers to build data strategy, direction and roadmap for Master Data management, data quality program, data warehousing/lake, business intelligence and analytics.
  • Systematize: advocate for Master Data governance and associated processes as communication and workflow to ensure Master Data is optimized to support business requirements.
  • Apply the appropriate level of modeling theory, pattern recognition, and abstractions to design a pragmatic solution that functionally meets the business and technical requirements.
  • Head: actively measure compliance around price leakage / erosion, SAP customer and pricing Master Data governance and accuracy around rebate and price discount accruals.
  • Lead requirements gathering and solution design activities, carrying out application design, build, test, and deploy activities for MDM and integrating applications.
  • Collaborate with business partners to drive adoption and optimization of the information management program through efforts as Working Groups / Community of Practice.
  • Provide technical leadership in areas as Master Data management and reference data management to reduce duplication and redundancy for core data objects.
  • Drive continuous improvement efforts to utilize SAP Master Data better, leading cross functional efforts on behalf of procurement and warehouse organization.
  • Ensure you coach; lead the business case requirements for an MDM Platform to enable source system cleansing and data quality measuring and monitoring at scale across all the data domains.
  • Be accountable for understanding data integration, data quality, data architecture and Master Data management, project life cycle phases, best practices, and processes.
  • Manage: maintenance responsibility over supplier master/part Master Data and maintains accurate external item numbers and descriptions associated with suppliers.
  • Secure that your team participates in external vendor communications by collaborating and disseminating reports and defining program descriptions, and by sharing analytical findings.
  • Ensure you assess; lead and manage Master Data management and data governance projects through all phases of the project lifecycle from planning, blueprint planning, requirements gathering, design, development, testing, and go live.
  • Develop and maintain quality standards of excellence, policies and procedures, standard workflows, and best practices for ensuring the security, quality and integrity, and availability of data.
  • Solidify in depth technical expertise regarding data models, data analysis and design, Master Data management, Metadata management, data warehousing, business intelligence, data quality improvement.
  • Confirm your venture leads/facilitate data governance processes and develops relationships with key business partners to ensure data assets are effectively managed across business and research functions.
  • Establish SAP platform technical governance framework and drive strategy for Master Data migration along with data and customizing system consolidation.
  • Be certain that your organization complies; exercises discretionary decision making and judgment related to project coordination, trouble shooting, and adherence to strict deadlines, maintaining project schedule, monitoring program progress, and communicates plans, status, and issues to management.
  • Engage with enterprise data management operations to coordinate and execute enterprise data governance processes, procedures and standards during Master Data management, data quality and content management activities.
  • Manage work with peers in the data and analytics, enterprise applications, engineering, operations, and security teams to ensure integration points are secured, effectively defined, developed, and supported.
  • Arrange that your corporation defines and develops analytical methodologies and procedures to provide quantitative solutions for QI initiatives and the implementations and delivery of automated solutions, by querying, collecting, analyzing, summarizing information and trends.
  • Confirm your venture ensures that associated information and data management performs effectively and efficiently, conceptually, logically and physically for the down stream applications.
  • Develop a partnership acting as a liaison between technical and business teams to understand, troubleshoot, interpret and advise on business needs and/or problems.
  • Manage: own you act like owners when you hold your organization accountable for your actions, when you respond to internal and external client needs with speed and accuracy, when you set and achieve meaningful goals, and when you strive towards continuous improvement.
  • Be accountable for defining project strategy, scope, specifications, reliability, performance, and support for enterprise level applications using Master Data management (MDM), ETL process (extract, transform, load), web, and ui (user interface).
  • Manage all aspects of product Master Data and web analytics related to E Commerce and communicate relevant information to team members, executive leadership and cross functional partners.
  • Manage the systems aspects of new product launch activity that impact customer service (maintaining sales views, pricing, listings and exclusions, and other Master Data elements).
  • Collaborate you collaborate when you partner with each other and promote teamwork, when you communicate clearly and effectively across the hall or around the globe, and when you welcome all forms of diversity and encourage inclusiveness.
  • Serve as valued business partner and finance liaison to the Solution Leaders and Business Unit customers to drive analysis, reporting, and forecasting.

 

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