Senior MDM & ERP Data Governance Specialist

Titleist; St. Ives; À distance; GBP 50 000 - 70 000; Plein temps

Avantages offerts par ce poste

Onsite gym

Subsidised restaurant

Pension scheme

Tuition support

Employee discounts

Wellbeing programmes

Holiday buy/sell

Development opportunities

Résumé du poste

Acushnet Europe in St Ives, Cambridgeshire, seeks a Master Data Management Specialist to own data governance across SAP ERP and PLM, ensuring data integrity for product lifecycle and customer data across the global business.

You will work with cross-functional teams to set up data standards, support data migrations, and drive continuous data quality improvements to enable efficient operations and reliable decision-making.

Qualifications

• Experience in Master Data Management and data governance across ERP and PLM systems.
• Knowledge of SAP ECC/S/4HANA data components (Material Master, BOMs, Routings) preferred.
• Strong collaboration with cross-functional teams to ensure data accuracy and process efficiency.

Responsabilités

• Lead governance and quality of master data across SAP ERP and PLM environments.
• Support new product introductions by ensuring correct setup of product, material, BOM, routing, and costing data.
• Collaborate with Supply Chain, Manufacturing, Customer Service, Procurement, Finance, IT and Product Management to align data standards.
• Investigate data issues and drive data quality improvements through education and cooperation.
• Support data migrations, system changes, and integrations between PLM and SAP.

Connaissances

Master Data Management

Data Governance

ERP data management

SAP ECC/S4HANA

Data quality

Analytical skills

Stakeholder management

Formation

Bachelor's degree

Outils

SAP ERP

PLM

Description du poste

Acushnet Europe in St Ives, Cambridgeshire, seeks a Master Data Management Specialist to own data governance across SAP ERP and PLM, ensuring data integrity for product lifecycle and customer data across the global business.

You will work with cross-functional teams to set up data standards, support data migrations, and drive continuous data quality improvements to enable efficient operations and reliable decision-making.