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Master Data Management Architect

10 days ago 2026/08/18
Other Business Support Services
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Job description

ZEISS in India


ZEISS in India is headquartered in Bengaluru and present in the fields of Industrial Quality Solutions, Research Microscopy Solutions, Medical Technology, Vision Care and Sports & Cine Optics.


ZEISS India has 3 production facilities, R&D center, Global IT services and about 40 Sales & Service offices in almost all Tier I and Tier II cities in India. With 2200+ employees and continued investments over 25 years in India, ZEISS’ success story in India is continuing at a rapid pace. 


Further information at ZEISS India.


Key Responsibilities1. Master Data Management
  • Create, maintain, and optimize material master data, info records, source lists, and condition records.
  • Perform mass maintenance tasks using tools like LSMW and MM17.
  • Act as SPOC for master data queries across plants in India.
  • Ensure compliance with internal standards and maintain high-quality data practices.
2. Variant Configuration (VC) Coding & Analysis
  • Maintain configurable product data in SAP LO-VC (transitioning to S4 AVC).
  • Perform consistency checks of specifications.
  • Create/manage sales & technical characteristics, BOMs, variant tables, constraints, selection rules, and pricing tables.
  • Conduct unit testing in the configurator.
3. Issue Resolution & Operational Support
  • Resolve issues related to P2P processes, stock transfers, and third-party systems.
  • Address SAP-related issues and ensure smooth integration with external systems.
  • Provide timely support to stakeholders within defined turnaround times.
  • Generate SAP reports and support operational decision-making.
4. Process Improvement & Strategic Initiatives
  • Drive process improvement projects related to master data and procurement operations.
  • Develop standardized workflows, SOPs, and process flows.
  • Support strategic data excellence initiatives for supply chain functions.
5. Stakeholder Management & Analytics
  • Maintain KPIs and provide analytics to monitor and improve master data performance.
  • Collaborate with procurement managers and business partners.
  • Provide leadership in data management activities and develop new practices to enhance operational efficiency.
  • Train and cross-train team members to ensure knowledge sharing and process continuity.
Required Competencies
  • Technical Skills:
    • Experience with LO-VC programming logic.
    • Strong knowledge of SAP MM/MDM or similar modules (SAP MM certification preferred). Good to have.
    • Experience with material master data creation/extension, info records, source lists, LSMW.
    • Understanding of P2P processes, stock transfers, pricing, and taxation.
    • Familiarity with third-party systems (Coupa, Jaggaer).
    • Proficiency in Microsoft tools (Excel, Word, PowerPoint, Outlook).
  • Analytical & Organizational Skills:
    • Strong self-organization and ability to manage complex scenarios.
    • Ability to learn and apply MED-specific rules.
  • Communication & Collaboration:
    • Excellent communication with diverse stakeholders.
    • Ability to document processes and describe context clearly.
    • Strong stakeholder management and prioritization skills.
  • Experience:
    • 10+ years in Master Data Management or ERP/CRM systems.
    • Prior exposure to product-side operations (industrial companies preferred).
    • Ability to handle large databases and derive insights.
Why ZEISS?ZEISS is a global leader in optics and optoelectronics, renowned for innovation and precision. As a part of ZEISS India’s procurement transformation, you will shape the future of how we source and partner with professional service providers. Your expertise will directly contribute to enabling excellence across our Sales & Service teams, Manufacturing sites, Real Estate operations, and the Global Capability Center.Join us and see beyond what’s possible.

Your ZEISS Recruiting Team:


Saptarshi Chowdhury
This job post has been translated by AI and may contain minor differences or errors.

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