全职 Enterprise Data Modeller 工作, 薪水, Tap Growth Ai 公司招聘中 - Ricebowl

We're Hiring: Enterprise Data Modeller!

We are looking for a highly skilled and experienced Enterprise Data Modeller to join our team in Singapore. The ideal candidate will have a strong background in data modeling, database design, and analytics with a proven track record of enhancing data architecture to meet business needs.

Location: Singapore, Singapore
Work Mode: Work from Office
Role: Enterprise Data Modeller

What You'll Do:

Required Experience and Skills

• 6–8 years of enterprise data modelling experience, preferably within banking or financial services.
• Strong hands-on experience developing conceptual, logical, and physical data models.
• Demonstrated experience modelling data within finance, risk, regulatory reporting, or related banking domains.
• Strong understanding of banking data structures, business concepts, and data relationships.
• Experience working with enterprise data modelling tools; ER/Studio experience is highly desirable.
• Exposure to industry-standard banking or financial services data models and the ability to adapt industry models to enterprise requirements.
• Experience supporting regulatory reporting and translating regulatory or reporting requirements into data models.
• Knowledge of enterprise data architecture, data governance, metadata management, data lineage, and data quality principles.
• Ability to analyse complex source systems and datasets and translate them into standardised enterprise models.
• Strong stakeholder management and communication skills, with the ability to work effectively across business and technology teams.
• Experience working in large, complex, global organisations and across geographically distributed teams.

Preferred Qualifications

• Experience with banking regulatory reporting frameworks, including exposure to MAS610.
• Experience establishing or implementing enterprise-wide data modelling standards and governance.
• Experience with Silver-layer, curated, canonical, or enterprise data models within modern data platforms.
• Familiarity with data warehouse, data lake, lakehouse, and analytical data architectures.
• Exposure to large-scale banking data transformation or regulatory change programmes.
• Experience contributing to global data architecture or data management initiatives.

Key Competencies

• Enterprise and strategic thinking
• Strong analytical and data modelling capability
• Banking, finance, and risk domain knowledge
• Attention to detail and data quality
• Stakeholder engagement and facilitation
• Ability to simplify complex data requirements
• Strong documentation and governance discipline
• Collaborative approach across global and cross-functional teams

Ready to shape the future of our data landscape? Apply now and be part of our innovative journey!