Mgr, Master Data Lifecycle (Hybrid
Listed on 2026-08-09
-
IT/Tech
SAP Consultant, Data Analyst, Data Engineering
Mgr, Master Data Lifecycle (Hybrid) (Finance)
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.
WhyThis Role Matters
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
What You will do:Master Data Lifecycle Management
- 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.
You will have:
Core Requirements
- 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
Who we are
:
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…
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