Master Data Project Manager — Product & ERP Data

Town & Country Living; City of Niagara Falls (NY); On-site; USD 110,000 - 160,000; Full time

Job summary

Town & Country Living seeks a Project Manager, Master Data to lead data strategy, governance, and end-to-end development of product data across planning, merchandising, pricing and compliance systems. You will ensure data accuracy, timeliness, and integrity, and lead projects from scope planning through go-live.

The role partners with Sales, Planning, Merchandising, IT, and Operations to translate requirements into data standards and measurable quality outcomes, driving scalable data solutions

Qualifications

• 4+ years in product/master data management or enterprise retail systems.
• Bachelor’s degree in Business, Information Systems, or Supply Chain.
• Hands-on experience with ERP and product management systems (NetSuite, PLM/WFX).
• Advanced Excel skills (VLOOKUP, Pivot Tables, Macros).
• Experience with SQL, Power BI or Tableau a plus.
• Project management experience; PMP/Agile/Lean Six Sigma a plus.

Responsibilities

• End-to-End Stewardship: manage data across planning, merchandising, pricing and compliance systems.
• Enforce data standards and single source of truth.
• Lead master data projects from scope to go-live.
• Collaborate with Sales, Planning, IT and Operations to align requirements.
• Monitor data quality KPIs and drive improvements.

Skills

Data governance

Project management

Communication

Attention to detail

Education

Bachelor's degree in Business, Information Systems, Supply Chain Management, or related field

Tools

NetSuite

PLM/WFX

Excel

SQL

Power BI

Tableau

Job description

Town & Country Living seeks a Project Manager, Master Data to lead data strategy, governance, and end-to-end development of product data across planning, merchandising, pricing and compliance systems. You will ensure data accuracy, timeliness, and integrity, and lead projects from scope planning through go-live.

The role partners with Sales, Planning, Merchandising, IT, and Operations to translate requirements into data standards and measurable quality outcomes, driving scalable data solutions