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Manager - Supply Chain Master Data

Singapore, Singapore

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
Apply at Resmed

What you’ll work on

Full posting
  • Conduct data discovery to find key data sources and map the current data landscape

  • Establish data quality metrics and KPIs to measure data solutions

  • Orchestrate a data governance framework with supply chain functions

  • Monitor data quality and resolve data issues across the transformation lifecycle

  • Find root causes of data issues and recommend system and process fixes

From the employer’s posting
Conduct thorough data discovery to identify key data sources and understand the current data landscape.
Establish and implement data quality metrics and KPIs to measure the effectiveness of data solutions
Orchestrate Data Governance framework with supply chain functions to ensure data quality improvements and KPIs are met
Monitor data quality and integrity throughout the planning/supply chain transformation project lifecycle, identifying and resolving data issues promptly.
Identify root causes of data-related issues and develop strategies to resolve them.

What you’ll bring

All qualifications

Core experience

  • 5-7 years in data management, analytics, or governance, ideally supply chain
  • Hands-on experience with data governance and master data management (MDM)
  • Experience with large ERP systems such as SAP or Oracle
  • Bachelor's degree in data science, business, or a related field
  • Ability to translate business needs into technical requirements
Qualification wording
5-7 years of experience in data management, analytics, or governance, ideally within supply chain, manufacturing, logistics, or procurement.
Hands-on experience with data governance frameworks and master data management (MDM) principles.
Experience with large ERP systems (e.g., SAP, Oracle)
Bachelor’s degree in data science, business, or a related field.
Ability to translate business needs into technical requirements.
Education & alternatives
Preferred (Qualifications/experiences that are preferred for the position) • Bachelor’s degree in data science, business, or a related field. • 5-7 years of experience in data management, analytics, or governance, ideally within supply chain, manufacturing, logistics, or procurement.

Tools in this posting

  • Excel
  • Oracle
  • Power BI
  • SAP
  • Tableau
Source — Tool mentions in context
• Experience with large ERP systems (e.g., SAP, Oracle) and planning tools (o9, Kinaxis, Blue Yonder) • Experience using BI solutions (e.g. Tableau, Sisense, Power BI) and Advanced Excel & modelling skills • Experience in different phases of the data project lifecycle from strategy and advisory, scoping and planning, requirements gathering, design, development, testing, training and deployment
• Hands-on experience with data governance frameworks and master data management (MDM) principles. • Experience with large ERP systems (e.g., SAP, Oracle) and planning tools (o9, Kinaxis, Blue Yonder) • Experience using BI solutions (e.g. Tableau, Sisense, Power BI) and Advanced Excel & modelling skills

Posting record

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Status in our records
Live
First seen by us
Jul 28, 2026 · 87 days ago
Recorded sightings
176
Last seen by us
Oct 22, 2026

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Job description

View original posting ↗

Job Summary

The Supply Chain Master Data Manager plays a critical role in data discovery, governance, solution design, quality measurement, and issue resolution. This role requires a deep understanding of supply chain functions and domains, as well as the ability to translate user stories into detailed data and analytics requirements. This role will work collaboratively across various teams to ensure data quality and drive the successful implementation of transformative solutions.

 

Let’s talk about Responsibilities

• Conduct thorough data discovery to identify key data sources and understand the current data landscape.

• Collaborate with stakeholders to gather and analyze business requirements from a data readiness perspective

• Identify and develop business processes with respective process owners related to the creation/maintenance of critical data elements

• Establish and implement data quality metrics and KPIs to measure the effectiveness of data solutions

• Orchestrate Data Governance framework with supply chain functions to ensure data quality improvements and KPIs are met

• Monitor data quality and integrity throughout the planning/supply chain transformation project lifecycle, identifying and resolving data issues promptly.

• Measurement of Plan quality in terms of demand supportability, plan recommendation stability

• Implement best practices for data governance and ensure compliance with industry standards.

• Identify root causes of data-related issues and develop strategies to resolve them.

• Provide recommendation of system and implement process improvements to prevent data quality issues

• Work with GTS and business teams to troubleshoot and rectify data discrepancies and inconsistencies.

• Develop and maintain documentation for issue resolution processes and procedures.

• Lead cross-functional workshops and meetings to drive alignment and integration of data solutions and governance

• Serve as a liaison between technical and non-technical teams to ensure clear communication and understanding.


Let’s talk about Qualifications and Experience

Preferred (Qualifications/experiences that are preferred for the position)

• Bachelor’s degree in data science, business, or a related field.

• 5-7 years of experience in data management, analytics, or governance, ideally within supply chain, manufacturing, logistics, or procurement.

• Hands-on experience with data governance frameworks and master data management (MDM) principles.

• Experience with large ERP systems (e.g., SAP, Oracle) and planning tools (o9,
Kinaxis, Blue Yonder)

• Experience using BI solutions (e.g. Tableau, Sisense, Power BI) and Advanced Excel & modelling skills

• Experience in different phases of the data project lifecycle from strategy and advisory, scoping and planning, requirements gathering, design, development, testing, training and deployment

• Working knowledge of business process analysis methodology and how to extract business value from data.

• Ability to translate business needs into technical requirements.

• Strong problem-solving and analytical thinking skills.

• Excellent communication and stakeholder management capabilities.

#LI-APAC

Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant.

Source details

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Location & working pattern

Singapore, Singapore

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