Manager, Product Master Data Operations

The Manager, Product Master DataOperationsis responsible forgoverning, managing, and ensuring the quality of enterprise Product Master Data across the global supply chain ecosystem. This role serves as a key steward of product-related master data, ensuring data integrity, consistency, and compliance with enterprise governance standards while supporting business operations, digital transformation initiatives, and supply chain processes.

The rolemaintainsand supports global master data processes related to finished goods, semi-finished goods, packaging materials, bills of materials (BOMs), recipes, cold drink equipment, and facilities parts. Working closely with business stakeholders, supply chain functions, technology teams, and Managed Service Providers (MSPs), the Manager drives operational excellence, process standardization, and continuous improvement to ensure trusted master data assets that enable business growth and operational efficiency.

Key Responsibilities

Product Master Data Stewardship & Governance

• Serve as a steward for enterprise Product Master Data, ensuring adherence to governance standards, policies, and operational controls.

• Manage the lifecycle of product-related master data, including creation, maintenance, updates, retirement, and quality assurance activities.

• Partner with Data Governance and Supply Chain stakeholders tomaintaindata quality standards and stewardship accountability.

• Ensure compliance with enterprise master data policies, data standards, and governance requirements.

• Support the implementation of data governance initiatives and continuous improvement programs.

Supply Chain Master Data Operations

• Maintain and support global master data processes across key supply chain domains, including:

• Finished Goods

• Semi-Finished Goods

• Packaging Materials

• Bills of Material (BOMs)

• Formulasand Recipes

• Cold Drink Equipment

• Facilities Parts

• Validate master data requests and ensure proper execution of data maintenance processes.

• Support product launches, innovation initiatives, packaging changes, and supply chain transformations throughtimelydata management activities.

• Partner with cross-functional teams to ensureaccuratemaster data creation and maintenance for innovation programs and operational initiatives.

Managed Service Provider (MSP) Management

• Serve as a primary liaison between business stakeholders and Managed Service Providers responsible formasterdata execution.

• Review, approve, andmaintainstandard operating procedures governing master data operations.

• Provide guidance and operational oversight to ensure data transactions are completed accurately and within established service levels.

• Support issue resolution, escalation management, and process improvements across MSP-supported activities.

• Monitor operational performance and recommend improvements that enhance efficiency and quality.

Data Quality & Issue Resolution

• Monitor master data quality andidentifyopportunities to improve accuracy, completeness, consistency, and usability.

• Resolve data synchronization issues between upstream and downstream systems.

• Investigate root causes of data defects and implement corrective and preventive actions.

• Collaborate with governance teams to implement recommendations that strengthen data quality and operational controls.

• Establish metrics and monitoring practices to support data qualityobjectives.

Business Partnership & Stakeholder Engagement

• Act as a trusted advisor to business stakeholdersregardingProduct Master Data processes and requirements.

• Support Operating Units, Supply Chain teams, Innovation teams, and other business functions with master dataexpertise.

• Communicate data impacts, risks, and recommendations to technical and non-technical audiences.

• Build strong cross-functional partnerships to drive alignmentondata requirements, standards, and priorities.

• Facilitate knowledge sharing and stewardship awareness across stakeholder groups.

Innovation & Continuous Improvement

• Participate in User Acceptance Testing (UAT) and validation activities supporting new capabilities and innovation initiatives.

• Support digital transformation efforts through the adoption of modern master data management practices and technologies.

• Identifyopportunities to automate manual processes and improve operational efficiency.

• Contribute to the development of scalable master data solutions supporting global business requirements.

• Drive standardization and simplification initiatives across product data processes.

Education Requirements

• Bachelor's Degree in Information Systems, Supply Chain Management, Business Administration, Data Management, Engineering, ora relatedfield.

• Equivalentcombination of education and relevant professional experience may be considered.

• Professional certifications related to Data Management, Supply Chain, SAP, GS1, or Master Data Management are preferred.

Related Work Experience

• 5+ years of experience in Master Data Management, Supply Chain Data Management, Product Information Management, Data Governance, or related disciplines.

• Experience supporting complex global master data environments and business processes.

• Experience working with Product Master Data, Supply Chain Data, or Product Information Management (PIM) systems.

• Experience collaborating with Managed Service Providers and cross-functional business teams.

• Experience supporting digital transformation, ERP implementations, or enterprise data initiatives.

• Demonstrated experience driving data quality improvements and process optimization.

• Experience working within global and matrixed organizations preferred.

Skills

Data Management & Governance

• Product Master Data Management

• Data Governance

• Data Stewardship

• Data Quality Management

• Metadata Management

• Product Information Management (PIM)

• Master Data Lifecycle Management

• Reference Data Management

• Business Process Documentation

• Data Standards & Compliance

Supply Chain & Product Data Expertise

• Finished Goods Management

• Packaging Data Management

• Bill of Materials (BOM) Management

• Recipe and Formula Management

• Supply Chain Operations

• Product Lifecycle Management (PLM)

• Product Data Synchronization

• GS1 Standards

• Global Data Synchronization Network (GDSN)

Technology & Analytics

• SAP

• SAP MDG

• Product Lifecycle Management (PLM) Systems

• Master Data Management Platforms

• Power BI

• Microsoft Excel

• Data Analysis and Reporting

• Workflow Management Tools

• Enterprise Data Platforms

• Data Integration Concepts

Business & Leadership Skills

• Stakeholder Management

• Process Improvement

• Root Cause Analysis

• Operational Excellence

• Cross-Functional Collaboration

• Problem Solving

• Communication and Influence

• Training and Knowledge Transfer

• Vendor and MSP Management

• Change Management

Base Salary :

United States only: 112,000 USD to 136,000 USD

Base Pay offered may vary depending on geography, job related knowledge, skills, and experience. a full range of medical, financial and/or other benefits dependent on the position is offered

Annual Incentive Reference Value Percentage:

15

Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.