Mgr, Master Data Lifecycle (Hybrid

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.

Varian Medical Systems, a Siemens Healthineers company is seeking an experienced SAP Master Data Lifecycle Manager to lead and govern the end-to-end lifecycle of supply chain master data in SAP S4 HANA. This role will be responsible for ensuring high-quality, compliant, and business-aligned master data processes spanning creation, maintenance, archiving, and retirement. The successful candidate will partner with Supply Chain, Procurement, Manufacturing, Logistics, and IT stakeholders to drive data governance, process standardisation, and continuous improvement across the master data lifecycle.

High-quality master data is critical to efficient supply chain operations. This role ensures that trusted, governed, and lifecycle-managed data underpins planning, execution, and decision-making across the organization.

This role is designed to be hybrid with regular onsite involvement at our production facility and HQ in Palo Alto, California

• Own and manage the end-to-end lifecycle of SAP master data objects (e.g., Material, Vendor, Customer, BOM, Routings).
• Define, implement, and enforce lifecycle policies including creation, approval, maintenance, archiving, and deletion.
• Ensure master data supports business processes across Plan, Source, Make, Deliver
  .

• Establish and maintain data governance frameworks , standards, and policies aligned with enterprise data strategy.
• Monitor and improve data quality KPIs (accuracy, completeness, consistency, timeliness).
• Lead data quality remediation initiatives and root cause analysis for recurring issues.
• Ensure compliance with regulatory and organizational standards.

• Design and standardize global master data processes within SAP S/4
  
  HANA.
• Identify opportunities to automate workflows and reduce manual intervention.
• Drive continuous improvement initiatives using Lean or Six Sigma principles.

• Act as the central pointof contact for Supply Chain master data requirements.
• Collaborate with business stakeholders to align master data design with operational needs.
• Partner with IT teams for system enhancements, integrations, and migrations.

• Configure and optimize SAP master data processes (MDG, S/4
  
  HANA).
• Support implementation and enhancement of SAP MDG (Master Data Governance) where applicable.
• Work with data tools for profiling, cleansing, and monitoring (e.g., SAP Information Steward or equivalent).

• Support SAP transformation programms.
• Lead master data cleansing, harmonization, and migration activities.
• Ensure data readiness and governance throughout program life cycles.

• Provide guidance to Master Data Analysts and Stewards.
• Promote a data-driven culture and best practices within the organisation.
• Deliver training and documentation on master data processes and standards.

• Extensive experience in SAP Master Data management within a Supply Chain environment.
• Strong understanding of SAP data objects (Material Master, Vendor, Customer, BOM,Routingsetc.).
• Proven experience managing data lifecycle processes and governance frameworks.
• Experience with SAP S/4
  
  HANA and SAP MDG
  .

• Knowledge of end-to-end Supply Chain processes
  .
• Experience in data quality management and data governance tools
  .
• Strong analytical and problem-solving abilities.

• Ability to influence and collaborate across cross-functional stakeholders.
• Strong stakeholder management and communication skills.
• Experience leading or mentoring data teams.

• Experience in SAP transformation programs.
• Knowledge of industry data standards (e.g., GS1, ISO).
• Certification in SAP, Data Governance, or Data Management (e.g., DAMA, SAP MDG).

• Improvement in data quality metrics across key master data domains.
• Reduction in process cycle times and errors
  .
• Adoption of standardised lifecycle processes globally.
• Effective support of Supply Chain operations through reliable master data.
• Successful delivery of NPI Events to support new product delivery.

• Completed Bachelors or Masters Degree program in data analytics, data science, supply chain, or a related field

We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our…