Manager - Supply Chain Master Data

Singapore, SingaporeOn-site

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Responsibilities

Conduct thorough data discovery to identify key data sources and understand the current data landscape.
Collaborate with stakeholders to gather and analyze business
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.
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.
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

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.
Work with GTS and business teams to troubleshoot and rectify data discrepancies and inconsistencies.
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,
Working knowledge of business process analysis methodology and how to extract business value from data.

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
Measurement of Plan quality in terms of demand supportability, plan recommendation stability
Provide recommendation of system and implement process improvements to prevent data quality issues
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)
requirements gathering, design, development, testing, training and deployment
Ability to translate business needs into technical requirements.
Strong problem-solving and analytical thinking skills.
Excellent communication and stakeholder management capabilities.
Joining us is more than saying “yes” to making the world a healthier place.