Role overview

This Data Steward position supports a technology company that has grown to $3.7 billion in annual revenue and serves hyperscalers, AI labs, and the broader AI ecosystem. You will operationalize the master data governance framework for global supply chain operations, ensuring that core enterprise data is accurately created, validated, and maintained across integrated systems. Your work will eliminate operational friction and safeguard data quality that directly supports the company’s downstream transaction reliability.

Key responsibilities

Execute and own the end-to-end creation, maintenance, enrichment, and change control activities for critical supply chain domains including item, product, bill of materials, sourcing, and logistics across global ERP systems.
Monitor master data movement across integrated platforms and own exception handling, validation checks, and rapid remediation support to eliminate data sync failures and transaction delays.
Coordinate and align with external Contract Manufacturers to manage and validate shared critical data structures, ensuring flawless manufacturing and supply execution.
Partner with IT and business cross-functional stakeholders to define, implement, and audit naming conventions, approval workflows, and business rules that scale a mature data governance model.
Lead data lifecycle workflows and continuous improvement initiatives to maintain structural data health across the supply chain organization.

Requirements

Proven experience executing master data governance, operational controls, data validation, and lifecycle management within a highly structured corporate environment.
Comprehensive understanding of core supply chain processes and how master data structures directly impact sourcing, planning, fulfillment, and logistics operations.
Hands-on experience working directly inside enterprise-level systems, specifically SAP, with knowledge of how data architecture flows and synchronizes across connected global applications.
Demonstrated ability to perform structured problem solving on complex data exceptions with disciplined attention to detail and data integrity.
Strong interpersonal and organizational skills to collaborate effectively across functions, manage multiple priorities, and align business data owners with technical IT constraints.

What makes this role worth considering

The role is based in Santa Clara, California with an expectation to work in-office unless on approved leave. The company has been recognized as one of Fortune’s Best Workplaces in Technology and the Bay Area, and is certified as a Great Place to Work, emphasizing innovation, team collaboration, and employee development. Benefits include flexible time off, wellness resources, and company-sponsored team events.