Materials Master Data Management (MDM) is essential to the effective running of our business. Master data is a single source of business data used across multiple systems, applications, and processes. When master data is accurate, on time and complete it saves us both time and money and allows us to make better informed business decisions. High quality master data is an asset to our business. The role is responsible for creating and maintaining master data primarily relating to material, customer, asset, vendor, and maintenance data domains. As part of the MDM team, this role is responsible for ensuring the highest level of data integrity, governance, and service to internal customers. The role will support developing and improving master data management to increase operational efficiency, strengthen data governance, and increase data value through deployment of user-friendly processes, system tools, and data architecture simplification.
Key Accountabilities: • Processes master data requests in line with service level agreements and respond to queries in a timely fashion. • Drives internal control, regulatory, and process compliance through active understanding, engagement, and vigilance. • Provides problem solving support, advice and guidance to internal customers which is detail oriented, responsive, and assumes responsibility for conclusion. • Completes daily, weekly and monthly processes and tasks to the required standard. • Maintains a full audit trail of data changes. • Provides timely and complete resolution of ad-hoc internal and external data queries • Determines priority of work and addresses issues in a timely manner based on understanding of critical factors. • Performs timely accurate peer review of completed requests which enhance data quality, integrity, and team learning. • Manages own time by estimating time to complete, setting deadlines, and communicating in advance when not expected meeting deadlines. • Understands the impact of master data within the organization and systems for applicable data domains. • Identifies patterns within the data to leverage information to create value • Supports documentation of data dictionary, process, and business rules; providing document updates in timely manager. • Proposes process efficiency improvements in execution of work, automation opportunity, rationalization of processes, and training/education. • Executes knowledge transfer to new or less experienced team members.