Specialist, SAP Master Data

In our Fiscal year 25, we had net sales of $1 Billion and our business performance has been nothing short of extraordinary with 29 consecutive quarters of net sales growth. We are the #2 mass cosmetics brand in the US and are the fastest growing mass cosmetics brand among the top 5. Our total compensation philosophy offers every full-time new hire competitive pay and benefits, bonus eligibility (200% of target over the last four fiscal years), equity, and a hybrid 3 day in office, 2 day at home work environment. We believe the combination of our unique culture, total compensation, workplace flexibility and care for the team is unmatched across not just beauty but any industry.

Visit our Career Page to learn more about our team: https://www.elfbeauty.com/work-with-us

Position Summary

The SAP Master Data Steward is responsible for managing e.l.f.’s data assets and ensuring their quality and usefulness. In addition, the SAP Data Steward will partner with Operations, Supply Chain, and IT to ensure data accuracy in downstream systems and root cause data issues. They will be responsible for ensuring that the organization's data is accurate, current, usable, accessible, safe, and trusted throughout its lifecycle. The MD Steward will act as a data curator, focusing on data awareness, accessibility, releases, and management.

Place of work: Ahmedabad, Gujarat/India-Remote

Shift Timings: 4:30 PM to 1:30 AM IST

Data Collection: Defining data collection, reporting, and quality assurance processes. Working closely with the PLM Master Data Steward on source data, while creating SAP-specific master data.

Data Issues: Proactively identify, root cause, and resolve data quality issues — and propose systemic fixes to prevent recurrence.

Data Advocacy: Championing data best practices and enabling data owners through training and communications.

compliance with governance policies and procedures.

Data Governance & Quality: Lead the development and continuous improvement of master data governance policies and scalable workflows.

Drive data requirements for system enhancements, new integrations, and data model changes — from scoping through UAT.

Identify opportunities to automate, streamline, or improve master data processes; propose and pilot solutions in partnership with IT and Operations.