Head - Data Science

Key Responsibilities: 1. Finance Data & Intelligence: - Build trusted Finance data products that enable reporting, planning, forecasting, profitability analysis, and operational decision-making. - Develop reusable Finance semantic models, certified datasets, and enterprise metrics that support Finance Analytics and the wider business. - Deliver operational intelligence across Finance Operations, Billing, Treasury, Revenue Assurance, and Commercial Finance. - Ensure Finance has timely, trusted, and governed data to support strategic and operational decisions. 2. Finance Operations & Billing: - Lead the enterprise data capability supporting Finance Operations, Billing, Revenue Assurance, Treasury, and financial operational processes. - Improve visibility into billing performance, collections, adjustments, reconciliations, revenue leakage, and operational efficiency. - Identify opportunities to simplify and automate Finance operational processes using data and analytics. - Establish operational KPIs that proactively identify risks and improvement opportunities. 3. Revenue Assurance & Profitability Intelligence: - Develop data products that improve revenue assurance, profitability visibility, and financial transparency. - Build profitability models across clients, products, regions, and commercial portfolios. - Support Finance and Commercial teams with trusted intelligence for pricing, margin analysis, and portfolio performance. - Deliver analytics that improve financial performance while reducing revenue leakage. 4. Partner with FP&A: - Partner closely with the Head of Finance Analytics and Group FP&A to support budgeting, forecasting, planning, and scenario modelling. - Provide trusted data products, semantic models, and analytical capabilities that improve forecast quality and financial planning. - Align Finance priorities with the enterprise data strategy and analytics roadmap. - Jointly identify opportunities where advanced analytics and AI can improve financial decision-making. 5. Finance Data Products: - Own and continuously evolve Finance-focused data products including: Profitability & Portfolio Intelligence, Revenue Assurance Intelligence, Billing Intelligence, Forecasting & Planning Intelligence, Treasury & FX Intelligence, and Financial Operations Intelligence. - Ensure all Finance Data Products are scalable, trusted, and aligned to business priorities. 6. Finance & Billing Data Governance: - Own the Finance Data Domain and partner with the Data Governance to ensure enterprise standards are consistently implemented. - Define Finance business rules, metrics, master data, and standard calculations. - Improve data quality, consistency, reconciliation, and certification across Finance datasets. - Ensure Finance data complies with governance, audit, and regulatory requirements. 7. Leadership & Capability Development: - Build and lead a high-performing Finance Data team. - Foster strong partnerships across Finance, FP&A Commercial, Product, Technology, Data Governance, Analytics Engineering, and Analytics Enablement. - Drive a culture of ownership, continuous improvement, and data-driven decision-making. Knowledge, skills and experience required: - Strong experience with: Financial data modelling, Billing analytics, Profitability analysis, Revenue assurance, Forecasting support, Enterprise reporting, and SQL & Tableau to manage the team. - Understanding of cloud analytics platforms and modern data ecosystems.