Senior Master Data Specialist
Remote
- Experience
- 8–10 years
- Employment
- Full-time
- Work mode
- Remote
- Salary
- Not disclosed
- Deadline
- Apply by 1 Nov 2026
- Posted
- 2026-07-20
Required skills
| Skill | Experience | Level |
|---|---|---|
| Stakeholder Management | 2+ years | Intermediate |
| Data Cleansing | 4+ years | Intermediate |
| SAP ERP | 4+ years | Intermediate |
| Master Data Management | 8+ years | Intermediate |
| Governance Frameworks | 2+ years | Intermediate |
| Data Governance | 2+ years | Intermediate |
| supply chain processes | 1+ years | Intermediate |
| SAP 4HANA | 4+ years | Intermediate |
About the role
Senior Master Data Specialist
Experience: 8–12 Years
Job Summary
Lead Master Data Management initiatives supporting large-scale ERP/SAP S/4HANA
transformation programs. Drive data governance, process harmonization, operational
excellence, and stakeholder collaboration across global supply chain functions.
Key Responsibilities
Analyze master data structures and identify risks, gaps, and standardization opportunities.
Support/drive master data process improvements and governance adoption.
Partner with Planning, Procurement, Manufacturing, Logistics, and Quality teams.
Validate data solutions to protect ERP, reporting, and downstream integrations.
Support data cleansing, migration, and mapping activities.
Collaborate with deployment teams to ensure operational readiness.
Lead master data operating model design and process harmonization across business units.
Define KPIs, SLAs, capacity models, and continuous improvement initiatives.
Provide leadership during large-scale ERP/SAP S4 transformation programs.
Required Skills
Strong Master Data Management experience (Material and/or Business Partner).
Experience with SAP ERP/SAP S/4HANA and MDG.
Knowledge of Supply Chain processes (Planning, Procurement, Manufacturing, Logistics).
Understanding of data governance and data quality principles.
Good stakeholder management and communication skills.
Proven experience leading enterprise-wide master data transformation programs.
Experience defining operating models, governance frameworks, KPIs, and SLAs.
Ability to mentor teams and influence senior stakeholders.