SAP/Master Data Manager

1. Master Data Management:

• Develop and implement strategies and initiatives to uphold MDM capabilities and practices to ensure accurate, reliable, and consistent master data across the organization
• Identify opportunities for enhancing master data management processes and workflow, data quality

2. Master Data Governance:

• Develop and implement procedures, processes and regulations for MDM, and ensure compliance across the organization
• Collaborate with business and IT stakeholders to uphold data governance

3. Data Quality Management:

• Design and implement data quality controls to monitor and improve data accuracy
• Identify and resolve data quality issues and establish processes for continuous data quality monitoring
• Propose and implement DQ initiatives to uphold data accuracy and reliability
• Create and maintain reports and dashboards to provide insights into master data quality, usage, and compliance

4. Master Data Analytics:

• Analyze master data to identify trends and patterns that can be used to improve business processes and operational efficiency
• Propose and lead initiatives to apply advanced analytics into MDM to enhance data quality and compliance, optimize operational activities

5. Collaboration & Stakeholder Engagement:

• Work with IT and business function to identify data needs and implement MDM solutions that support business objectives

Requirements

• Bachelor’s degree in Business Administration, Business Information Systems or a related field
• 7+ years of experience in Data Management, Business Analysis, or a related role, preferably within the automotive or manufacturing sector
• Mastery of SAP Master Data modules, including MM (Materials Management), SD (Sales and Distribution), PP (Production Planning), FICO (Finance and Controlling), and EWM (Extended Warehouse Management).
• Proficient in data visualization software, such as Tableau and Power BI. Proficiency in SQL and data modeling is an advantage.
• Familiarity with Dealer Management Systems (DMS) and Salesforce.
• Communication Skills: Excellent verbal and written communication skills, capable of presenting complex data concepts to diverse audiences.
• Team Collaboration: Proven ability to work effectively in cross-functional teams, building relationships with stakeholders at all levels of the organization.