Global ERP Master Data Lead (SAP & JDE)

Westlake Chemical; United States; On-site; USD 110,000 - 165,000; Full time

Job summary

Westlake Chemical is seeking an ERP Master Data Manager to lead data quality initiatives across SAP and JDE environments. You will partner with leadership to enforce global data standards, develop policies, and train staff across plants and master data teams.

The role emphasizes proactive process improvement, cross-functional leadership, and fostering an inclusive work environment while ensuring data integrity across all domains.

Qualifications

• Requires Bachelor’s or Master’s degree in Business Administration, Information Systems, Computer Science, Data Science, or related field.
• Minimum 3 years of ERP experience (SAP preferred).
• Proven ability to drive cross-functional decision-making and process improvement in a complex manufacturing setting.
• Strong data analysis and reporting skills with Excel/Access/PowerPoint.

Responsibilities

• Develop and manage processes for reviewing, tracking, resolving, and escalating data quality issues across business segments and data domains.
• Champion centralized data management practices to improve operational efficiency and data quality.
• Lead creation and implementation of global policies and procedures for data quality improvements.
• Identify and deliver training to staff in plants and master data teams to prevent interruptions.
• Define and operationalize enterprise stewardship, data dictionaries, and data standards across the data lifecycle.
• Collaborate with Data Management Leaders to align activities with the Global Template.

Skills

Data governance

Data quality

Cross-functional leadership

Executive communication

Project management

Mentoring

Education

B.S./M.S. in Business Admin / related field

Tools

SAP

JDE

Excel

Access

PowerPoint

Job description

Westlake Chemical is seeking an ERP Master Data Manager to lead data quality initiatives across SAP and JDE environments. You will partner with leadership to enforce global data standards, develop policies, and train staff across plants and master data teams.

The role emphasizes proactive process improvement, cross-functional leadership, and fostering an inclusive work environment while ensuring data integrity across all domains.