Sap Master Data Team Leader information
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$19.71 - $24.89
11% of jobs
$30.07 is the 25th percentile. Wages below this are outliers.
$24.89 - $30.07
14% of jobs
$30.07 - $35.25
14% of jobs
The median wage is $38.41 / hr.
$35.25 - $40.43
19% of jobs
$40.43 - $45.61
9% of jobs
$45.61 - $50.79
7% of jobs
$51.65 is the 75th percentile. Wages above this are outliers.
$50.79 - $55.97
6% of jobs
$55.97 - $61.15
3% of jobs
$61.15 - $66.32
3% of jobs
$66.32 - $71.50
6% of jobs
$71.50 - $76.68
7% of jobs
How much do sap master data team leader jobs pay per hour?
As of Sep 10, 2026, the average hourly pay for sap master data team leader in the United States is $44.35, according to ZipRecruiter salary data. Most workers in this role earn between $30.53 and $55.29 per hour, depending on experience, location, and employer.
A SAP Master Data Team Leader is responsible for overseeing the management and quality of master data within the SAP system, such as customer, supplier, material, and product information. They lead a team that ensures data accuracy, consistency, and compliance with company policies and regulations. This role involves coordinating data entry, validation, and maintenance processes, as well as troubleshooting data issues and implementing improvements. Additionally, the team leader collaborates with other departments to support business operations and data-driven decision-making.
To thrive as a SAP Master Data Team Leader, you need expertise in SAP master data management, strong analytical skills, and a background in business, IT, or a related field. Familiarity with SAP ERP modules, data governance tools, and certifications like SAP Certified Application Associate are typically required. Leadership, effective communication, and attention to detail are vital soft skills for managing teams and ensuring data accuracy. These skills and qualities are crucial for maintaining data integrity, optimizing business processes, and supporting organizational decision-making.
A SAP Master Data Team Leader frequently works with departments such as finance, procurement, operations, and IT to maintain consistent and accurate master data across the organization. This involves coordinating cross-functional meetings, addressing data discrepancies, and implementing standardized processes to ensure that all teams are aligned on data definitions and usage. Strong communication and project management skills are essential, as the role requires mediating between business needs and technical requirements. Effective collaboration not only helps prevent data quality issues but also supports smooth business operations and compliance efforts.
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