Global Master Data Expert, Finance CoE

Jacobs Douwe Egberts; Województwo mazowieckie; Sur place; PLN 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Onboarding program

Professional development

Automation initiatives

Private medical care

Private pension scheme

Life insurance

Sports card

Language courses

Unlimited coffee

Résumé du poste

JDE Peet’s is seeking a Global Master Data Expert (CoE) to lead data quality, governance and improvement efforts in the Finance data domain. You will guide best practices, research, and training across the Master Data landscape, shaping how data assets support global operations.

The role requires strong communication, hands-on data stewardship, and collaboration with cross-functional teams to optimize data management and analytical outcomes.

Qualifications

• At least 3 years of experience in master data or data management.
• Strong written and verbal communication skills.
• Proven track record in cross-functional data projects in multi-domain environments.
• Good knowledge of Master Data concepts and SAP.
• Ability to develop creative improvements to data operations.

Responsabilités

• Lead data quality initiatives across the Data Domain and support related projects.
• Perform data cleansing and ensure accuracy of master data objects.
• Collaborate with MDM Ops to implement improvements.
• Participate in cross-domain projects touching relevant data domains.
• Maintain request forms, upload tools and reports aligned with business needs.

Connaissances

Strong communication

3+ years experience

MDM knowledge

SAP knowledge

Creative thinker

Outils

SAP

Description du poste

JDE Peet’s is seeking a Global Master Data Expert (CoE) to lead data quality, governance and improvement efforts in the Finance data domain. You will guide best practices, research, and training across the Master Data landscape, shaping how data assets support global operations.

The role requires strong communication, hands-on data stewardship, and collaboration with cross-functional teams to optimize data management and analytical outcomes.