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Mgr, Master Data Lifecycle (Hybrid

Job in Palo Alto, Santa Clara County, California, 94306, USA
Listing for: Siemens Healthineers in
Full Time position
Listed on 2026-08-09
Job specializations:
  • IT/Tech
    SAP Consultant, Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 156000 - 214000 USD Yearly USD 156000.00 214000.00 YEAR
Job Description & How to Apply Below
Position: Mgr, Master Data Lifecycle (Hybrid)

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.

Why

This 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
    .
Governance & Data Quality
  • 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.
Process Design & Optimization
  • 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.
Stakeholder Engagement
  • 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.
SAP & Tools Expertise
  • 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).
Data Migration & Transformation
  • Support SAP transformation programms.
  • Lead master data cleansing, harmonization, and migration activities.
  • Ensure data readiness and governance throughout program life cycles.
Team Leadership & Capability Building
  • 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.
What

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

    .
Technical & Functional Expertise
  • Knowledge of
    end-to-end Supply Chain processes
    .
  • Experience in
    data quality management and data governance tools
    .
  • Strong analytical and problem-solving abilities.
Leadership & Communication
  • Ability to influence and collaborate across cross-functional stakeholders.
  • Strong stakeholder management and communication skills.
  • Experience leading or mentoring data teams.
Desirable Qualifications
  • 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).
Success Measures
  • 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.
What will set You apart:
  • 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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