EMEA Master Data Leader - SAP, PIM & Governance

John Guest Ltd.; East Midlands; On-site; GBP 65,000 - 95,000; Full time

Job summary

Reliance Worldwide Corporation (RWC) seeks a Master Data Manager EMEA to own integrity, structure and governance of master data across a broad region. You will lead a two-person team and collaborate with IT, operations, sales, and finance to ensure accurate material, product, customer, vendor, and pricing data across SAP, PIM, and related systems.

You will drive data standards, improve quality, and partner with multi-functional teams to support global data initiatives and AI-driven plans.

Qualifications

• Proven master data management experience, ideally in manufacturing.
• Strong working knowledge of SAP master data (material master, BOMs, and related modules).
• Hands-on experience with a PIM platform.
• Strong understanding of manufacturing and product data and its operational and commercial impact.

Responsibilities

• Govern master data domains across material, product, customer, vendor, pricing, BOM, and manufacturing.
• Define and enforce data standards, naming conventions, data models, and workflows.
• Set data quality KPIs and drive improvements in accuracy and completeness.
• Lead and develop two master data specialists, setting priorities and expectations.
• Collaborate with IT, Operations, Supply Chain, Product Management, Sales & Marketing and Finance to resolve data issues at source.

Skills

Master data management

SAP master data

PIM platform

Data governance

Cross-functional

International sites

Tools

PIM platform

SAP ERP

Job description

Reliance Worldwide Corporation (RWC) seeks a Master Data Manager EMEA to own integrity, structure and governance of master data across a broad region. You will lead a two-person team and collaborate with IT, operations, sales, and finance to ensure accurate material, product, customer, vendor, and pricing data across SAP, PIM, and related systems.

You will drive data standards, improve quality, and partner with multi-functional teams to support global data initiatives and AI-driven plans.