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

About the role

Frasers Property is hiring a Manager / Senior Manager for its Group Finance - Systems & Analytics team. The role builds the Group's finance data, analytics and AI capabilities, designing and implementing the Enterprise Finance Data Lake and AI platform, setting up data models, semantic layers and governance, and enabling AI-powered reporting, analytics, decision support and process automation. It is hands-on, combining data engineering, analytics, AI solution development and business partnering.

Key responsibilities

• Design, develop and manage the finance data platform, including curated datasets, semantic models and data structures, and build data integration and transformation pipelines
• Establish data governance, metadata management, master data and data quality standards, and partner with IT on a secure, scalable data architecture
• Design and maintain enterprise finance data models, semantic layers and ontology, standardise KPIs and business logic, and support self-service analytics
• Develop dashboards and reporting solutions, drive automation and continuous improvement, and enable finance stakeholders to access data easily
• Build the foundations for AI and generative AI solutions, including MLOps, model deployment and monitoring, and support use cases such as forecasting, document processing and performance insights
• Partner with Finance, IT and business stakeholders, manage solution delivery and promote adoption of data, analytics and AI capabilities

Required profile

• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Accountancy, Finance or a related discipline
• Minimum 7 years of experience in data engineering, data architecture, analytics, business intelligence, finance systems or AI solution development
• Proven experience designing enterprise data platforms, cloud analytics solutions or modern data architectures
• Experience delivering analytics, automation or AI solutions in a business environment
• Strong stakeholder management, communication and problem-solving skills
• Preferred: finance domain knowledge (financial reporting, FP&A, consolidation, ERP implementation) and experience with finance platforms such as SAP S/4HANA, Oracle, Workday, OneStream or Hyperion

Required skills

• SQL and Python
• Data modelling and data integration
• Building scalable data pipelines and handling large, complex datasets
• Preferred: GCP, BigQuery, Databricks, Microsoft Fabric, Azure Data Lake, AI and generative AI, data governance and semantic modelling