Master Data Manager

Accountabilities

• Translate enterprise Master Data strategies, priorities, and governance objectives into practical standards, procedures, controls, implementation plans, and measurable roadmaps.

• Facilitate Data Governance Council activities by preparing agendas, decision materials, recommendations, performance metrics, action registers, and follow-up communications.

• Develop, document, maintain, and enforce enterprise-wide data standards, definitions, naming conventions, validation rules, ownership requirements, approval processes, and operating procedures.

• Manage end-to-end Master Data lifecycle processes, including data creation, modification, extension, blocking, and retirement, ensuring appropriate validation, approvals, documentation, change control, and service-level expectations.

• Oversee governance across multiple data domains, including customer, vendor, business partner, bank, material, pricing, hierarchy, and financial data such as chart of accounts, cost centers, profit centers, internal orders, payment terms, and reason codes.

• Establish data quality standards, monitoring frameworks, dashboards, and remediation processes to identify and resolve duplicate, incomplete, inaccurate, inconsistent, or noncompliant records.

• Collaborate with business data owners and stewards across Sales, Supply Chain, Finance, Operations, Procurement, and Manufacturing to clarify responsibilities, facilitate decisions, and strengthen data accountability.

• Partner with IT and SAP teams on system configurations, integrations, enhancements, workflow automation, testing, releases, user acceptance testing, cutover, and stabilization activities.

• Lead cross-functional investigations into Master Data issues, manage escalations, identify root causes, and implement preventive measures to minimize operational disruption and recurring errors.

• Ensure Master Data processes comply with internal policies, authorization requirements, security standards, segregation of duties, regulatory expectations, and audit requirements.

• Develop training materials, communications, and process guidance to support the adoption of data governance standards among business users, data owners, stewards, and approvers.

• Define and monitor key performance indicators, including data quality, duplicate reduction, request processing time, first-time-right rates, issue resolution, stakeholder satisfaction, and compliance results.

• Drive continuous improvement by using performance insights and stakeholder feedback to prioritize automation, streamline workflows, improve data accuracy, and strengthen operational efficiency.

• Provide cross-functional leadership by promoting shared accountability, facilitating collaboration, and serving as the primary operational contact for Master Data governance and process-related questions.

Requirements:

• Bachelor's degree in Data Management, Information Systems, Business Administration, Finance, Accounting, Supply Chain, or a related discipline. Equivalent professional experience and education may also be considered.

• At least 5 years of progressively responsible experience in Master Data Management, data governance, ERP-enabled business processes, business systems, Finance operations, Supply Chain operations, or a related field.

• Demonstrated experience leading cross-functional governance initiatives, process design, data quality improvements, or enterprise-wide change management projects.

• Experience working with SAP S/4HANA or comparable enterprise ERP platforms. Knowledge of SAP Business Partner, customer, vendor, material, and financial Master Data is strongly preferred.

• Solid understanding of Master Data governance principles, lifecycle management, data ownership and stewardship models, workflow controls, metadata, data quality frameworks, and issue remediation.

• Strong knowledge of internal controls, segregation of duties, data security, compliance, change management, documentation, and audit-readiness requirements.

• Ability to translate complex business and technical requirements into clear policies, procedures, standards, workflows, decision documents, and training materials.

• Strong analytical and problem-solving skills, with the ability to identify root causes, interpret data quality metrics, assess risks, and recommend practical solutions.

• Proficiency in Microsoft Excel and reporting or data analysis tools. Experience with workflow automation, data quality, or governance platforms is an advantage.

• Excellent communication, facilitation, stakeholder management, and conflict resolution skills, with the ability to build alignment across technical and non-technical teams.

• Strong organizational and project management abilities, including the capacity to manage competing priorities, coordinate multiple initiatives, and ensure consistent follow-through in a changing environment.

• Relevant certifications in data management, governance, project management, or process improvement, such as CDMP, PMP, or Lean Six Sigma, are preferred but not mandatory.

• Demonstrated strategic leadership, integrity, accountability, critical thinking, collaboration, and change management capabilities.

• Strong attention to detail and a commitment to responsible data stewardship, accuracy, transparency, and continuous improvement.

Benefits:

• Competitive annual salary ranging from $120,000 to $136,000.

• Remote work opportunity within the United States or onsite work option in Watsonville, California.

• Opportunity to take ownership of enterprise-wide Master Data governance and influence strategic business processes.

• Exposure to SAP S/4HANA initiatives, enterprise systems, workflow automation, analytics, and digital transformation projects.

• Cross-functional collaboration with Finance, IT, Supply Chain, Operations, Procurement, Manufacturing, and other business teams.

• Opportunity to lead meaningful process improvements, strengthen data quality, and contribute to long-term organizational growth.

• A strategic role offering visibility across the business and the opportunity to shape enterprise data management practices.