Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions.
Master data strategy
- Own the global SAP master data strategy: domain scope, target data model, harmonization standards, numbering and classification conventions, and hierarchy design across segments.
- Define the enterprise data model for core domains - material, customer, vendor, BOM and routing, work center, equipment and functional location, pricing, cost center and profit center, GL and chart of accounts.
- Set the standardization line: what is global template, what is legitimately segment-specific, and what is local variation that gets retired. Defend it under pressure from the business.
- Build the master data roadmap across deployment waves and into steady state, including the path for future acquisition integration.
Governance and operating model
- Establish the master data governance operating model: domain data owners, stewards, councils, decision rights, escalation, and change control that functions as routine business operation rather than program overhead.
- Define and enforce data standards, business rules, validation logic, and mandatory field policies at the point of creation.
- Own master data KPIs - completeness, accuracy, timeliness, duplication rate, and request cycle time - and report them to segment and process leadership as a standing metric.
- Build the business-side stewardship network across segments and hold it accountable, recognizing that governance without named owners is documentation.
SAP MDG execution
- Own SAP MDG design, build, and operations: data models, UI configuration, workflow and BRF+ rules, change request processes, replication through DRF, and integration with the S/4HANA landscape.
- Implement duplicate detection, matching, survivorship, and consolidation across legacy sources.
- Design MDG onboarding for each deployment wave so converted data lands into a governed steady state and does not immediately re-degrade.
- Operate MDG as a product with a backlog, release cadence, and continuous improvement, not a one-time implementation.
Delivery partnership
- Partner closely with the Data Conversion and Migration Senior Manager: you set the target standards and acceptance criteria that conversion is measured against.
- Work with the ABAP and BTP team on MDG extensions, integrations, and any side-by-side data services on BTP.
- Support deployment waves through data design workshops, harmonization decisions, and post go-live data defect resolution.
- Lead a global team of MDG functional consultants, data architects, and domain stewards across onshore and offshore, and manage partner delivery quality.
Qualifications
Required
- 15+ years in enterprise master data management, with at least 8 years in SAP master data and 5+ years leading global teams.
- Deep hands-on SAP MDG expertise across multiple domains - data modeling, workflow, BRF+, DRF replication, and consolidation and mass processing.
- Proven master data leadership on at least two global S/4HANA programs, including harmonization across heterogeneous legacy ERPs.
- Heavy industry line-of-business experience is required - manufacturing, industrial equipment, water, energy, process, or engineered products. Specifically, demonstrated command of material master complexity across engineering and manufacturing views, multi-level BOMs and routings, variant and configurable products, spare and service parts catalogs, equipment and functional location hierarchies, and plant-level data.
- Demonstrated ownership of a governance model that survived contact with the business - named owners, operating cadence, enforced standards, and published KPIs.
- Strong functional understanding of how master data drives downstream process outcomes in planning, procurement, manufacturing, service, and finance.
- Experience with data quality tooling, profiling, and remediation at scale.
- Executive presence to arbitrate harmonization disputes between segment leaders and make the standardization call stick.
Preferred
- SAP Datasphere, Signavio process mining, or comparable analytics used to expose data-driven process failure.
- Master data implications of installed-base and aftermarket service models.
- Experience onboarding acquisitions onto a common master data standard.
- Classification, taxonomy, and catalog management for large materials portfolios.
- Familiarity with regulatory and trade compliance data requirements in an industrial context.
Success in the First 12 Months
A published global master data standard with segment sign-off on what is harmonized and what i