Manager / Senior Manager, Group Finance (Data & AI)

Shape the future of places. Shape your future with us.

Real estate is a people business. At Frasers Property, we believe every space should serve a meaningful purpose - shaping how individuals, businesses and communities live, work and connect. Our properties are what the world sees, but our greatest assets are the people who make it all possible.

Who We Are

We are a diversified, multinational real estate group on a journey of evolution – strengthening our reputation as an integrated investor, developer, and operator across geographies and asset classes, including industrial & logistics, retail, commercial & business parks, residential and hospitality. Guided by our purpose – Inspiring experiences, creating places for good, we take a long-term view and strive to create lasting value for stakeholders.

How We Work

Every project begins with intention – shaped by local insight, community needs, and a commitment to sustainability and quality outcomes. Across the Group, we bring together diverse talents, perspectives, cultures, and strengths – from strategy, investment and operations to customer experience, technology and beyond. When we do, we create outcomes greater than the sum of our parts: vibrant places that connect, inspire, and uplift.

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 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.

What You’ll Bring

QUALIFICATIONS & EXPERIENCE

Required

Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Accountancy, Finance or a related discipline.
Minimum 7 years of relevant experience in data engineering, data architecture, analytics, business intelligence, finance systems or AI solution development.
Proven experience designing and implementing enterprise data platforms, cloud-based analytics solutions or modern data architectures.
Strong hands-on experience in SQL, Python, data modelling and data integration.
Experience building scalable data pipelines and managing large, complex datasets across multiple systems.
Experience delivering analytics, automation or