Senior Merch Ops: Process & Data Integrity Leader (Hybrid)

Advance-Auto-Parts; Raleigh (NC); Hybrid; USD 75,000 - 95,000; Full time

Job summary

Advance Auto Parts is seeking a Senior Merchandising Operations Specialist to lead process improvements, oversee enterprise systems, and mentor team members from our Raleigh headquarters.

You will partner with IT and business teams, manage large-scale initiatives like plan-o-grams and vendor onboarding, and ensure accurate merchandising data. This hybrid role requires strong leadership and hands-on data management.

Qualifications

• 3+ years in merchandising operations, data management, or related roles.
• Strong leadership, communication, and problem-solving skills.
• Proficiency in Microsoft Excel and Microsoft 365 applications.

Responsibilities

• Process & System Improvements: Identify gaps in enterprise processes and systems; lead initiatives to resolve issues.
• Documentation & Process Development: Create and maintain process documentation and flowcharts; train team members on new processes.
• Large-Scale Initiative Support: Represent Merch Ops in initiatives like new plan-o-grams, vendor onboarding, vendor flips, and test drives; ensure adherence to timelines.
• Data Stewardship: Monitor merchandising data accuracy and integrity; communicate anomalies and support resolution efforts.
• Ad Hoc Merch Ops Duties: Assist with SKU setup, Ad Control data entry, and Vendor Funding Form execution; perform audits and maintain data quality across merchandising systems.

Skills

Leadership

Communication

Problem-solving

Multitasking

Tools

PMM (Blue Yonder)

MMT

PIM

Ad Control

Power BI

Microsoft Excel

Microsoft 365

Job description

Advance Auto Parts is seeking a Senior Merchandising Operations Specialist to lead process improvements, oversee enterprise systems, and mentor team members from our Raleigh headquarters.

You will partner with IT and business teams, manage large-scale initiatives like plan-o-grams and vendor onboarding, and ensure accurate merchandising data. This hybrid role requires strong leadership and hands-on data management.