Master Data Governance Lead | SAP & Data Quality

Nordic Naturals; Watsonville (CA); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Nordic Naturals is seeking a strategic Master Data Manager in Watsonville, CA to govern data across customer, vendor, material, pricing, and finance domains. You will own standards, lifecycle, and the data quality framework while partnering with IT and business owners.

You will translate governance decisions into actionable processes, support SAP S/4HANA initiatives, and drive continuous improvement in data accuracy, consistency, and security across the enterprise.

Qualifications

• Bachelor's degree in Data Management, Information Systems, Finance, or related field.
• 5+ years of Master Data governance/management experience.
• Experience leading cross-functional governance, process-design, and data-quality initiatives.
• Experience with SAP S/4HANA and data domains (customer, vendor, material, finance).
• Strong data-quality, documentation, and governance capability.

Responsibilities

• Translate Master Data strategy into standards, procedures, and roadmaps.
• Lead Data Governance Council activities and maintain decision records.
• Develop and enforce enterprise data definitions, naming conventions, and rules.
• Own Master Data lifecycle management including request intake and approvals.
• Govern data domains across customer, vendor, material, pricing, and finance.

Skills

Master Data governance

Data quality

Stakeholder management

Project management

Analytical thinking

Education

Bachelor's degree in Data Management / related field

Tools

SAP S/4HANA

Microsoft Excel

Job description

Nordic Naturals is seeking a strategic Master Data Manager in Watsonville, CA to govern data across customer, vendor, material, pricing, and finance domains. You will own standards, lifecycle, and the data quality framework while partnering with IT and business owners.

You will translate governance decisions into actionable processes, support SAP S/4HANA initiatives, and drive continuous improvement in data accuracy, consistency, and security across the enterprise.