Senior Manager, Group Finance - Systems & Analytics

Frasers Property Limited; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Frasers Property Limited is seeking a senior data platform expert to lead the Finance Data Platform & Governance, designing, developing and managing the group finance data platform, datasets, semantic models and enterprise data structures that power reporting, analytics and AI initiatives.

You will design enterprise finance data models and semantic layers, standardise KPI definitions and metrics, translate business needs into scalable data products, and enable self‑service analytics while

Responsibilities

• Design, develop and manage the Group Finance data platform, including curated finance datasets, semantic models and enterprise data structures supporting reporting, analytics and AI initiatives.
• Build and maintain scalable data integration and transformation pipelines across finance and operational systems.
• Establish and enforce data governance, metadata management, master data and data quality standards to ensure trusted and consistent finance information.
• Partner with IT and technology teams to develop a secure, scalable and future-ready finance data architecture.
• Design and maintain enterprise finance data models, semantic layers and finance ontology to support reporting, planning, performance management and AI-driven use cases.
• Standardise KPI definitions, business logic and metric calculations to establish a single source of truth across the Group.
• Translate business requirements into scalable data products and analytics solutions that improve data accessibility, consistency and transparency.
• Support self-service analytics and reporting capabilities through business-friendly data models and semantic structures.
• Develop and enhance reporting, dashboard and analytics solutions to support financial, management and operational decision-making.
• Standardise KPI definitions, reporting logic and business metrics across the Group.
• Enable self-service analytics and improve data accessibility, transparency and consistency for finance stakeholders.
• Drive automation and continuous improvement initiatives to enhance reporting efficiency and reduce manual effort.
• Design and implement data and knowledge foundations required for AI-powered finance solutions.
• Develop, deploy and continuously enhance AI-enabled solutions, intelligent automation and generative AI use cases that improve productivity and decision support.
• Collaborate with stakeholders to identify, prioritise and deliver high-impact AI initiatives across Finance.
• Establish AI governance, MLOps practices, reusable assets, development standards, including model deployment, monitoring and continuous improvement to ensure AI solutions remain scalable, reliable and sustainable.
• Support use cases including reporting automation, financial analysis, forecasting, knowledge search, document processing and performance insights.
• Partner with Finance, IT and business stakeholders to define and deliver data, analytics and AI solutions aligned with business priorities.
• Manage solution delivery across design, development, testing and implementation phases.
• Work closely with technology vendors and implementation partners where required.
• Promote adoption of modern data, analytics and AI capabilities across the Finance function.
• Stay abreast of emerging technologies and recommend innovative solutions to enhance finance capabilities.

Job description

Finance Data Platform & Governance

• Design, develop and manage the Group Finance data platform, including curated finance datasets, semantic models and enterprise data structures supporting reporting, analytics and AI initiatives.
• Build and maintain scalable data integration and transformation pipelines across finance and operational systems.
• Establish and enforce data governance, metadata management, master data and data quality standards to ensure trusted and consistent finance information.
• Partner with IT and technology teams to develop a secure, scalable and future-ready finance data architecture.

Data Modelling & Semantic Layer

• Design and maintain enterprise finance data models, semantic layers and finance ontology to support reporting, planning, performance management and AI-driven use cases.
• Standardise KPI definitions, business logic and metric calculations to establish a single source of truth across the Group.
• Translate business requirements into scalable data products and analytics solutions that improve data accessibility, consistency and transparency.
• Support self-service analytics and reporting capabilities through business-friendly data models and semantic structures.

Analytics, Reporting & Business Insights

• Develop and enhance reporting, dashboard and analytics solutions to support financial, management and operational decision-making.
• Standardise KPI definitions, reporting logic and business metrics across the Group.
• Enable self-service analytics and improve data accessibility, transparency and consistency for finance stakeholders.
• Drive automation and continuous improvement initiatives to enhance reporting efficiency and reduce manual effort.

AI Solutions & Intelligent Automation

• Design and implement data and knowledge foundations required for AI-powered finance solutions.
• Develop, deploy and continuously enhance AI-enabled solutions, intelligent automation and generative AI use cases that improve productivity and decision support.
• Collaborate with stakeholders to identify, prioritise and deliver high-impact AI initiatives across Finance.
• Establish AI governance, MLOps practices, reusable assets, development standards, including model deployment, monitoring and continuous improvement to ensure AI solutions remain scalable, reliable and sustainable.
• Support use cases including reporting automation, financial analysis, forecasting, knowledge search, document processing and performance insights.

Stakeholder Management & Transformation

• Partner with Finance, IT and business stakeholders to define and deliver data, analytics and AI solutions aligned with business priorities.
• Manage solution delivery across design, development, testing and implementation phases.
• Work closely with technology vendors and implementation partners where required.
• Promote adoption of modern data, analytics and AI capabilities across the Finance function.
• Stay abreast of emerging technologies and recommend innovative solutions to enhance finance capabilities.