BPO Master Data Raw Material & Spare Parts (H / F)

SaintGobain; Courbevoie; Sur place; EUR 45 000 - 80 000; Plein temps

Résumé du poste

Join a forward-thinking company as a BPO for Raw Material & Spare Parts Master Data. In this pivotal role, you will define and oversee master data specifications, ensuring accuracy and consistency across systems. Collaborate with cross-functional teams to design scalable data models and lead data quality assurance efforts. Your expertise will contribute to the organization's long-term strategy for data governance and continuous improvement. This is a unique opportunity to make a significant impact in a dynamic environment focused on business and digital transformation.

Qualifications

• Proven experience in master data management and governance.
• Strong analytical skills for data profiling and cleansing.

Responsabilités

• Define and validate master data specifications for raw materials.
• Lead data quality assurance and governance efforts across teams.

Connaissances

Master Data Management

Data Quality Assurance

Data Governance

S4HANA

Data Profiling

Formation

Bachelor's Degree in Data Management or related field

Master's Degree in Business Administration

Outils

SAP-MDG

PIM

In4.0rm

Metrix

Description du poste

In line with our strategic plan "Grow & Impact," Saint-Gobain has launched the Business & Digital Transformation Program "OXYGEN" at the European level based on S / 4 HANA. Be part of this adventure and enrich our team as soon as possible.

The BPO Raw Material & Spare Parts Master Data will play a pivotal role in the Oxygen project, responsible for defining, validating, and overseeing master data specifications and models during the transition to a unified Oxygen S / 4.

This role is crucial in ensuring the consistency, accuracy, and integrity of critical master data for Raw Material & Spare Parts across organizational units and systems.

The BPO will collaborate with cross-functional teams and stakeholders across departments, countries, and systems to design a robust and scalable data model.

He / she will also lead efforts in data quality assurance, literacy, and governance, ensuring successful profiling, cleaning, and migration strategies while aligning with organizational and regulatory standards.

Key Responsibilities :

1. Master Data Definition and Governance :
2. Define and validate master data specifications for raw material & spare parts in S4HANA and PIM.
3. Ensure the accuracy and consistency of raw material & spare parts data across systems (PIM, In4.0rm, Metrix…).
4. Maintain comprehensive documentation of data models for S4HANA (Data dictionary, business and quality rules, list of values).
5. Monitor and govern the lifecycle of Raw Material & Spare Parts Master Data, from creation to deactivation, ensuring adherence to standards and best practices.
6. Oversee the quality and user acceptance testing of SAP-MDG (Master Data Governance) developments.

Collaboration and Stakeholder Engagement :

1. Establish data councils or equivalent to validate and share master data modifications with data owners and impacted systems.
2. Collaborate with the BPO Product & Material Master Data, Business Partner, and Finance Master Data teams to validate transversal master data models.
3. Work closely with country-specific stakeholders (e.g., France, Germany, and all European countries) to establish roles, responsibilities, and compliance for master data management.

Data Assessment and Quality Assurance :

1. Lead data profiling, analysis, cleansing, and migration strategies for France, Germany, and subsequent waves.
2. Identify and mitigate data-related risks to ensure high-quality, error-free data migration.

Data Governance and Continuous Improvement :

1. Engage with various countries to define roles and responsibilities related to master data management.
2. Support training and enablement activities to improve data literacy and organizational capability in master data management.
3. Act as a subject matter expert in data governance, contributing to the organization's long-term strategy for managing Material Master Data.
4. Define and monitor KPIs related to data quality and governance, ensuring continuous improvement.