全职 RGM Data Modeler 工作, 薪水, FrieslandCampina Selangor 公司招聘中 - Ricebowl

As a global dairy leader, we are transforming how we manage value across pricing, promotions, trade spend, and profitability. We seek a Senior Data Modeler with strong RGM expertise to design scalable, governed data models that power commercial insights across 20+ markets. You will bridge business and technology, helping build the “Commercial Brain” of our retail business and enabling a Unified RGM Engine that supports future AI-driven decision-making.

RGM-Focused Data Modeling: Lead the design and implementation of conceptual, logical, and physical data models supporting RGM domains such as:

• Pricing & price waterfalls Promotions & trade spend optimization Customer & channel profitability Gross to Net, Volume, revenue, and margin analytics
• Translate complex commercial business requirements into scalable and reusable data models
• Business Partnership & Value Creation Act as a trusted partner to commercial (Sales, Finance, Marketing) stakeholders to shape RGM analytics use cases
• Ensure data models directly support decision-making and value realization (e.g., margin improvement, promo effectiveness)
• Drive alignment between business definitions and data structures (e.g., net sales, discounts, rebates)
• Enterprise Data Modeling & Standards Own and maintain enterprise-wide data models and definitions for RGM-related domains
• Comply and enforce data modeling standards, naming conventions, and best practices
• Contribute to the global data modeling community as a subject matter expert Data Platform & Engineering Collaboration
• Collaborate with regional and global teams to leverage the Azure Data Platform / Databricks ecosystem
• Support and guide implementation of data models in modern data architectures (lakehouse, medallion layers)
• Ensure models are optimized for performance, scalability, and usability Data Integration & Transformation
• Guide and review development of SQL-based data transformations and ETL pipelines
• Ensure alignment between data ingestion, transformation, and modeling layers
• Promote reusability and modular design in data pipelines Governance & Quality Define and enforce data quality rules and validation frameworks for RGM data
• Ensure consistency of key business metrics across systems and reports
• Support data lineage, documentation, and transparency