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
What you’ll work on
Full postingConduct 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 qualificationsCore 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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- Live
- First seen by us
- Jul 28, 2026 · 87 days ago
- Recorded sightings
- 176
- Last seen by us
- Oct 22, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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Job description
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.
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- Location & working pattern
Singapore, Singapore
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