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.

Skills

Data Science, Data Scientist, Tableau, Data Intelligence, SQL, Data Modeling, Data Analytics