Data Supervisor - MDM SAP

TEKsystems•Corona, CA

1d•$78,000 - $104,000•Hybrid

About The Position

As the Material Master Data Supervisor, you will be responsible for the day-to-day activities and workload of the Material Master Data team, ensuring timely, accurate, and high-quality creation and maintenance of material master records. You will also provide direction, coaching, and support as you execute master data requests, quality checks, audits, and project deliverables. The impact you'll make: - Lead and oversee daily processing of material master data requests, ensuring the Specialists create and maintain records accurately, efficiently, and in alignment with governance standards. - Manage the ticket queue and prioritize incoming work, balancing routine maintenance activities with urgent requests, project deadlines, and product launch timelines. - Provide guidance on complex master data scenarios, acting as the escalation point for troubleshooting SAP data elements, hierarchical structures, or cross-functional dependencies. - Review and validate material master data loads to ensure accuracy, completeness, adherence to naming conventions, and consistency across systems. - Oversee project and launch-related mass data creation or updates, ensuring correct sequencing, documentation, and timely delivery of project milestones. - Monitor and ensure adherence of master data governance processes, ensuring Specialists follow established workflows, approval paths, and data quality control steps. - Identify, track, and resolve recurring errors by mentoring Specialists through root cause analysis and partnering with upstream teams to prevent repeat issues. - Proactively evaluate workload capacity and assign tasks, ensuring balanced productivity, minimal bottlenecks, and clear accountability across the team. - Support training and skill development, upskilling Specialists in data systems, project management, data standards, documentation, and efficient processing techniques. - Champion continuous improvement, gathering feedback from Specialists to refine standard operating procedures (SOPs), streamline workflows, and enhance data accuracy and operational efficiency over time.

Requirements

data
sap
leading
data analysis
Demonstrable expert-level understanding of Master Data Management methodologies, data governance practices and strong analytical and problem-solving skills with excellent business acumen.

Nice To Haves

Prefer a Bachelor's Degree in the field of Data Science & Analytics, Business or technical field
Additional Experience Desired: More than 5 years of experience in supervisory or management role
Additional Experience Desired: Between 3-5 years of experience in with SAP
Computer Skills Desired: Microsoft Office, SAP or other database systems, Power BI, SharePoint, SQL & Python a plus

Responsibilities

Lead and oversee daily processing of material master data requests, ensuring the Specialists create and maintain records accurately, efficiently, and in alignment with governance standards.
Manage the ticket queue and prioritize incoming work, balancing routine maintenance activities with urgent requests, project deadlines, and product launch timelines.
Provide guidance on complex master data scenarios, acting as the escalation point for troubleshooting SAP data elements, hierarchical structures, or cross-functional dependencies.
Review and validate material master data loads to ensure accuracy, completeness, adherence to naming conventions, and consistency across systems.
Oversee project and launch-related mass data creation or updates, ensuring correct sequencing, documentation, and timely delivery of project milestones.
Monitor and ensure adherence of master data governance processes, ensuring Specialists follow established workflows, approval paths, and data quality control steps.
Identify, track, and resolve recurring errors by mentoring Specialists through root cause analysis and partnering with upstream teams to prevent repeat issues.
Proactively evaluate workload capacity and assign tasks, ensuring balanced productivity, minimal bottlenecks, and clear accountability across the team.
Support training and skill development, upskilling Specialists in data systems, project management, data standards, documentation, and efficient processing techniques.
Champion continuous improvement, gathering feedback from Specialists to refine standard operating procedures (SOPs), streamline workflows, and enhance data accuracy and operational efficiency over time.