Senior Master Data Specialist

Description

The Senior Master Data Specialist is responsible for developing, maintaining, and governing accurate and standardized product, part, SKU, packaging, and dimensional data across the organization.

This role will be to lead a company-wide project to gather, validate, standardize, document, and maintain SKU-level dimensional data. This includes establishing consistent standards for product dimensions, weights, packaging configurations, and units of measure; coordinating data collection and validation across departments; resolving discrepancies; and establishing ongoing ownership and maintenance processes.

The position will focus on building sustainable master data standards, processes, controls, and ownership for product and part information. Because the company does not currently operate within an ERP system, this position will also help prepare the organization and its data for future system implementation.

The ideal candidate is analytical, highly organized, detail-oriented, process-minded, and comfortable working independently and across departments. A strong work ethic and commitment to data accuracy are essential.

Our company believes in the Ideal Team Player. We follow the model behaviors of Humble (quick to point out the contributions of others), Hungry (self-motivated and diligent), Smart (socially appropriate and aware), Safety-Minded (works to lower safety risks, Quality-Minded (take pride in their work) and Attendance (recognizes their presence is important).

Requirements

ESSENTIAL JOB DUTIES & RESPONSIBILITIES:
• SKU Dimensional Data

• Lead a company-wide project to gather, validate, standardize, document, and maintain SKU-level dimensional data.
• Establish consistent standards for dimensions, weights, packaging configurations, and units of measure.
• Coordinate with Engineering, Purchasing, Production, Logistics, Warehouse, Quality, Sales, and other departments to collect and validate data.
• Identify and resolve gaps, discrepancies, and inconsistencies in existing SKU data.
• Establish a controlled source for SKU dimensional information.
• Establish ongoing ownership and maintenance processes for dimensional data.
• Report on data completeness, accuracy, and project progress.

• Product & Part Master Data

• Manage the creation, maintenance, modification, and discontinuation of part and product records.
• Establish standards for part numbers, descriptions, classifications, units of measure, packaging, and product attributes.
• Review new and revised part information for completeness, accuracy, and compliance with standards.
• Identify and resolve duplicate, obsolete, incomplete, or inconsistent part records.
• Maintain controlled master files and databases.

• Data Governance & Quality

• Establish master data standards, definitions, naming conventions, and required fields.
• Develop processes for creating, changing, approving, and discontinuing master data.
• Identify and correct data-quality issues and prevent recurring problems.
• Establish data ownership and accountability across departments.
• Develop metrics and reporting to monitor data quality.

• Process & Documentation

• Develop and maintain SOPs for part creation, data changes, product attributes, packaging changes, discontinuation, and data corrections.
• Identify opportunities to improve or automate master data processes.
• Provide guidance to employees responsible for creating or maintaining product and part information.

• Cross-Functional Support

• Serve as the subject matter expert for product, part, SKU, and master data.
• Work with departments and subject matter experts to resolve data discrepancies.
• Lead cross-functional master data projects and initiatives.
• Communicate data standards and requirements throughout the organization.

• ERP / System Readiness

• Establish standardized product and part data structures to support a future ERP or enterprise system.
• Prepare data for future migration through standardization, cleansing, validation, and documentation.
• Support future system implementation and data-migration activities.

NON-ESSENTIAL JOB DUTIES & RESPONSIBILITIES:

• Assist with special projects and process improvement initiatives.
• Participate in training programs and professional development opportunities.
• Support onboarding and cross-training efforts within the department.
• Attend team meetings, carrier meetings, and company-sponsored events.
• Assist with data collection and reporting projects.
• Provide backup support for other Supply Chain and administrative functions as needed.
• Perform other duties as assigned.

PHYSICAL DEMANDS & WORK ENVIRONMENT:

• Prolonged periods of sitting and working at a computer.
• Frequent communication via phone, email, and video conferencing.
• Ability to occasionally lift up to 20 pounds.
• Ability to work additional hours as business needs require.
• On site office, hybrid, or operations environment.
• Fast-paced setting requiring attention to detail and effective multitasking.
• Regular interaction with internal teams, customers, and transportation providers.

COMPETENCY, KNOWLEDGE, SKILLS & ABILITIES:

• Attention to detail.
• Data accuracy and integrity
• Analytical thinking
• Master data management
• Product and part data management
• Process development
• Project leadership
• Problem solving
• Organization
• Accountability and ownership
• Cross-functional communication
• Continuous improvement
• Strong work ethic
• Ability to work independently.
• and data cleansing.
• Strong analytical and problem-solving skills.
• Exceptional attention to detail and commitment to data accuracy.
• Strong organizational and communication skills.
• Ability to work independently and take ownership of projects.
• Strong work ethic and commitment to accurate, timely work.
• Ability to establish structure and processes in an environment where formal systems may not yet exist.

EDUCATION & EXPERIENCE:

REQUIRED:

• Bachelor's degree in Business, Supply Chain, Information Systems, Data Management, Operations, or related field preferred.
• 3-5 years of experience in master data, product/part data, data analysis, supply chain, operations, logistics, or a related field.
• Advanced Excel skills, including formulas, lookups, pivot tables, large datasets,

PREFERRED:

• Experience with master data management or data governance.
• Experience with Power BI, Power Query, SQL, or similar tools.
• Manufacturing, distribution, supply chain, or logistics experience.
• Experience with product, packaging, dimensional, or part data.
• Experience developing SOPs or leading data-standardization projects.