Manager, Manufacturing Master Data

Shape trusted manufacturing data into measurable business value.

As Manager, Manufacturing Master Data
, you will lead business-facing technology delivery within Resmed’s Manufacturing Excellence programme in Singapore. You will connect plant operations, manufacturing, supply chain and technology teams to improve how critical manufacturing data is discovered, governed, integrated and used.

Your work will span Manufacturing Execution Systems (MES), Manufacturing Execution Process (MEP) design and upstream ERP master data. By leading multiple squads and translating operational needs into practical solutions, you will help improve data quality, resolve manufacturing data issues and turn technology delivery into meaningful operational and financial outcomes.

• Lead multiple cross-functional squads, translating business and user needs into clear use cases, requirements, delivery plans and success measures.
• Own the integrated roadmap and portfolio for manufacturing master data solutions, partnering with value stream owners, transformation leaders and the Manufacturing Excellence PMO.
• Coordinate capacity, sequencing and dependencies across squads while maintaining visibility of progress, risks and blockers.
• Conduct data discovery across MES and ERP systems to understand data sources, dependencies and the current manufacturing data landscape.
• Partner with plant operations and manufacturing stakeholders to define data requirements for line setup, work order release, production reporting and other MEP workflows.
• Develop processes for creating and maintaining routings, bills of materials, work orders, genealogy and traceability records.
• Identify root causes of production, quality-hold, genealogy and MES-to-ERP data discrepancies, then guide their resolution.
• Establish data quality metrics and KPIs, monitor data integrity and implement manufacturing data governance practices.
• Recommend system and process improvements that prevent recurring data issues and support reliable manufacturing execution.
• Track adoption and value indicators, communicate outcomes to senior stakeholders and highlight gaps between technical completion and realized value.

• Bachelor’s degree in supply chain management, Industrial Engineering, Information Systems, Business or a related field.
• At least five years in master data management, data governance or supply chain systems.
• Direct exposure to MES and MEP design or a large-scale manufacturing transformation.
• Sound understanding of manufacturing processes, value streams and operational improvement opportunities.
• Background coordinating multiple delivery teams or squads across business, process, data and technology disciplines.
• Ability to partner with manufacturing and plant operations teams to define data requirements supporting MEP workflows.
• Proven capability leading cross-functional workshops with technical and non-technical stakeholders.
• Knowledge of data quality KPIs and root-cause analysis for MES-to-ERP interface discrepancies.

• Familiarity with Oracle Fusion and its integration with MES platforms.
• Exposure to supply chain transformation projects.
• Knowledge of manufacturing genealogy, traceability and quality transaction data.

• Business Partnership:
  Build trusted relationships across plant operations, manufacturing, supply chain and technology teams.
• Structured Thinking:
  Turn complex operational needs and data challenges into clear, practical delivery plans.
• Collaborative Leadership:
  Create alignment across multiple squads, disciplines and stakeholder groups.
• Ownership:
  Maintain visibility of commitments, risks and dependencies while enabling timely decisions and escalation.
• Outcome Focus:
  Keep adoption and realised value at the centre of…