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 solid 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.

📌 Head - Data Science (India)
🏢 SH Square Consultants
📍 India