Job Description:
- Manage the end-to-end product master data lifecycle
across all product types, including Raw Materials (RM), Packaging Materials (PM), Work-in-Progress (WIP), Finished Goods (FG), spare parts, construction items, and service-related materials. - Establish and maintain product data governance framework
, including taxonomy, product hierarchy, and standardized workflows for creation, update, approval, and retirement of master data. - Ensure data accuracy, completeness, uniqueness, and consistency
across all platforms (ERP, e-commerce, supply chain, marketing systems) through continuous validation and data quality controls. - Develop and enforce data standards, naming conventions, attribute templates
, and classifications in line with internal governance policies and external regulatory requirements. - Lead master data cleansing, enrichment, and deduplication initiatives
to improve data usability and eliminate redundancy. - Collaborate with cross-functional stakeholders
(Business Process Owners, IT, Supply Chain, Marketing, QA, R&D, Procurement) to ensure product data supports business processes and decision-making. - Monitor and drive compliance
to data governance policies, escalate deviations, and lead root cause analysis and resolution for data-related issues. - Provide subject matter expertise
during audits, ERP implementations, digital transformations, or integration projects impacting product master data. - Support automation and transformation initiatives
to improve data accuracy, reduce manual efforts, and drive digital readiness in the MDM landscape. - Stay abreast of best practices
in Master Data Management (MDM), Product Information Management (PIM), and emerging technologies, and proactively propose improvements.
Qualifications:
- Bachelor's degree in
Information Systems, Business Administration, Industrial Engineering, Computer Science
, or other relevant disciplines. - Minimum
3–5 years of experience
in
Product Master Data Management
, ideally within manufacturing, distribution, or retail environments. - Hands-on experience with
ERP systems (preferably SAP S/4HANA)
and
PIM/MDM tools
(e.g., Informatica, Stibo, Syndigo, Riversand). - Strong understanding of
product lifecycle, supply chain processes
, and business process integration. - Proficient in data analysis, data quality assessment, and root cause problem-solving.
- Detail-oriented with a strong sense of ownership and accountability for data integrity.
- Demonstrated ability to
collaborate across functions
and manage stakeholders at various levels. - Experience in
data governance
,
workflow design
, and
documentation of standards and procedures
. - Familiarity with
data migration, transformation
, and system enhancement projects is an advantage. - Strong communication skills, with the ability to translate business needs into data requirements and vice versa