Supply Chain Master Data Lead: Data Quality & Governance

Medifox DAN GmbH; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Worklane GmbH is seeking a Supply Chain Master Data Manager to drive data discovery, governance, and quality across the supply chain. You will translate user stories into detailed data requirements and collaborate with multiple teams to implement transformative data solutions.

The role emphasizes establishing KPIs, leading governance efforts, and improving data integrity throughout project lifecycles. Strong communication and stakeholder engagement are essential.

Qualifications

• 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.

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.

Skills

Data governance

MDM

ERP systems

BI tools

Stakeholder management

Excel modelling

Education

Bachelor's degree in data science or related field

Tools

SAP

Oracle

o9

Kinaxis

Blue Yonder

Tableau

Sisense

Power BI

Advanced Excel modelling

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.

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