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Senior Manager, Group Finance - Systems & Analytics

FRASERS PROPERTY CORPORATE SERVICES PTE. LTD.β€’ALEXANDRA POINT, 438 ALEXANDRA ROAD, 119958, Singapore
Full-timeSenior
S$7,500 - S$9,400/month
πŸ‘οΈ 0 viewsβ€’πŸ“ 0 applicationsβ€’Posted 10/20/2026β€’Expires 11/19/2026
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Job Description

About the Role The candidate will be part of the Group Finance - Systems & Analytics team and play a key role in building the Group's finance data, analytics and AI capabilities.

The role will be instrumental in designing, developing and implementing the Group's Enterprise Finance Data Lake and AI platform, establishing enterprise finance data models, semantic layers and governance frameworks, and enabling AI-powered solutions that enhance reporting, analytics, decision support and process automation across the Group.

This is a hands-on role requiring a combination of data engineering, analytics, AI solution development and business partnering skills.

The successful candidate will work closely with Finance, IT, business stakeholders and technology partners to deliver scalable data and AI solutions while building the internal capabilities required for Group Finance to progressively maintain, enhance and expand its own AI solutions over time.

How you’ll make an impact 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 th

Required Skills

Data EngineeringKPI ManagementMaster Data ManagementPerformance Management

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