Location: Binan, Laguna, (with regular overlap with US Pacific and Central European time zones)
About the Role:
To ensure accuracy, completeness, governance, and timely maintenance of enterprise master data supporting Engineering, Supply Chain, Manufacturing, Quality, Service, and Finance. This role is a senior individual contributor and subject-matter expert for master data processes in SAP S/4HANA, with accountability for complex data creation and change activities, data quality controls, issue resolution, and continuous improvement. The ideal candidate brings deep manufacturing master data experience, strong cross-functional judgment, and a disciplined approach to resolving data issues at the root cause.
Key Responsibilities
Master Data Ownership & Accountability
- Own the end-to-end creation, extension, maintenance, and governance of material, product, BOM, vendor, customer, and related manufacturing master data in SAP S/4HANA
- Serve as the senior subject-matter expert for master data standards, workflows, dependencies, and downstream business impacts
- Ensure assigned requests are completed accurately, completely, and within agreed service levels
- Proactively communicate status, risks, data gaps, and decisions to requestors and cross-functional stakeholders
- Define data ownership and train data owners on requirements, templates, and standards
- Track and report master data progress to ensure on-time completion for launches and changes
- Crosstrain a backup to ensure continuity
SAP S/4HANA Master Data Management
- Create and maintain material master records, plant and storage-location views, units of measure, classifications, status controls, procurement and planning parameters, costing inputs, and other required SAP S/4HANA attributes
- Create, update, and validate bills of material, production-relevant structures, effectivity, revision levels, and related change-controlled data
- Configure and maintain SAP Variant Configuration (LO-VC) or the applicable SAP product configuration solution, including configurable materials, characteristics, object dependencies, and end-to-end configuration validation and testing
- Support formal engineering change management, including change-record handovers, impact assessments, BOM revisions, effectivity management, and EBOM-to-MBOM coordination
- Process complex bulk updates, data extensions, launches, phase-ins, phase-outs, and engineering changes using approved tools and controls
- Execute standard SAP mass-maintenance transactions and approved tools, preferably Precisely Winshuttle, including script execution, data validation, exception handling, and reconciliation
- Determine when standard SAP functionality is sufficient and when controlled automation or data-load solutions are required
- Validate source documentation and approvals before executing master data changes
- Execute master data changes in alignment with approved CRs, ensuring part, BOM, and drawing releases stay in sync
- Troubleshoot cross-module master data issues affecting Engineering, MM, PP, SD, QM, EWM, Finance, and other integrated processes
- Support data migration, cleansing, validation, testing, cutover, and stabilization activities for SAP S/4HANA deployments and enhancements
- Maintain clear audit trails and evidence in accordance with change control, quality, and internal-control requirements
Data Governance & Quality
- Apply enterprise naming conventions, data standards, ownership rules, and approval workflows consistently across master data domains
- Establish and enforce master data governance procedures, clear ownership, approval controls, auditability, and measurable data-quality KPIs and service-level metrics
- Perform data-quality checks for completeness, accuracy, consistency, uniqueness, and referential integrity
- Monitor data-quality metrics, aging, rework, and recurring defects; lead root cause analysis and corrective actions
- Identify duplicate, obsolete, or inconsistent records and coordinate controlled remediation with data owners
- Maintain procedures, work instructions, dictionaries, and governance documentation so requirements remain current and auditable
- Coach requestors and junior specialists on data standards, SAP S/4HANA requirements, and first-time-right execution
Cross-Functional Partnership
- Partners with Engineering, Supply Chain, Manufacturing, Quality, Service, Finance, IT, and program teams to translate business requirements into accurate master data
- Support new product introduction, engineering releases, pilot builds, product and sourcing changes, production launches, and plant readiness by ensuring master data is complete, accurate, and validated before key launch milestones
- Facilitate issue-resolution discussions, clarify ownership, and elevate blockers that threaten data quality or operational timelines
- Improve master data workflows, templates, controls, and reporting to reduce cycle time, errors, and manual rework
- Use Excel, Power BI, SAP reporting, or similar tools to analyze performance and provide actionable visibility
- Participate in system testing and enhancement design, including requirements definition, test-script execution, defect resolution, and user acceptance
- Share lessons learned and standardize effective practices across sites and functions
Qualifications:
- Bachelor’s degree in engineering, Supply Chain, Operations, Information Systems, Business, or a related field
- 5+ years of directly relevant experience in a Senior Master Data Specialist, Master Data Analyst, Master Data Lead, or equivalent capacity within a manufacturing environment.
- Advanced hands‑on experience with SAP S/4HANA master data, including material master and bills of material; working knowledge of integrated manufacturing and supply chain processes
- Hands‑on experience with SAP Variant Configuration (LO-VC) or the applicable SAP product configuration solution, including configurable materials, characteristics, object dependencies, and end-to-end configuration validation and testing
- Experience supporting formal engineering change management, including change-record handovers, impact assessments, BOM revisions, effectivity management, and EBOM-to-MBOM coordination in an automotive or discrete manufacturing environment
- Hands‑on experience with standard SAP mass‑maintenance transactions and approved tools, preferably Precisely Winshuttle, including script execution, data validation, exception handling, and reconciliation
- Ability to determine when standard SAP functionality is sufficient versus when controlled automation or data-load solutions are required
- Experience supporting NPI, engineering releases, pilot builds, production launches, and plant readiness, ensuring master data is complete, accurate, and validated before key launch milestones
- Experience establishing and enforcing master data governance procedures, clear ownership, approval controls, auditability, and measurable data-quality KPIs and service-level metrics
- Strong understanding of product structures, part numbering, revisions, effectivity, engineering changes, planning parameters, procurement data, and manufacturing data dependencies
- Demonstrated ability to investigate complex data issues, perform root cause analysis, and implement sustainable corrective actions
- Advanced proficiency in Microsoft Excel; experience with Power BI, SAP reporting, data-load tools, or data-quality tools
- Excellent written and spoken English, with the ability to lead discussions and explain data impacts to global stakeholders
- Highly organized, detail-oriented, and capable of managing competing priorities with minimal supervision
Preferred:
- Required experience in automotive, power sports, or electric vehicle manufacturing.
- Experience with SAP Master Data Governance (MDG), workflow tools, migration cockpit, mass maintenance, or approved data‑load solutions
- Experience supporting new product introduction, plant launches, ERP implementations, or global data harmonization
- Familiarity with PLM systems and integration between engineering and ERP master data
- Knowledge of ISO 9001, IATF 16949, or comparable manufacturing quality-system requirements
- Lean, Six Sigma, APICS, SAP, or data-governance certification