Data Subject Matter Expert (SME) - Market Intelligence and Economic Modeling

About Tata Consultancy Services

Tata Consultancy Services (TCS) is a leading global IT services, consulting and business solutions company with a strong presence across 53 countries. Backed by over 50 years of experience and a workforce of more than 616,000 skilled consultants from 157 nationalities, TCS delivers integrated portfolios of business, technology, and engineering services through its innovative Location Independent Agile™ delivery model. As part of India's largest multinational conglomerate, TCS has earned global recognition for excellence in software development and consulting.

Role Overview

The Data SME / Lead Economist & Market Intelligence Modeler plays a pivotal role in the Market Mapping Program. The main objective is to act as the analytical and business expert, responsible for identifying pertinent internal and external data sources, establishing the economic and industry modeling frameworks, and ensuring that resultant insights generate valuable business opportunities and net new-to-bank (NTB) leads. This role serves as a critical bridge between business stakeholders and technical teams, translating broad macroeconomic indicators into concrete commercial insights.

Key Responsibilities

• Specify and verify macroeconomic, industrial, trade, and corporate-level datasets covering 21 countries.
• Evaluate diverse datasets including GDP, foreign direct investment (FDI), trade flows, industry forecasts, company databases, and market intelligence platforms such as IMF, LSEG, Bloomberg, Moody's Orbis, among others.
• Design and manage econometric, statistical, and predictive models to highlight rapidly growing countries, sectors, and organizations.
• Develop methodologies involving weighting, correlation analysis, ranking, and scoring to identify promising business opportunities.
• Determine which variables to incorporate, dismiss, or enhance within modeling frameworks for optimal accuracy.
• Collaborate with Data Engineering to set standards for data sourcing, update intervals, and quality assurance protocols.
• Work alongside AI Hub and Relationship Management Advisory teams to transform model findings into actionable, data-driven recommendations for business development.
• Assist in preparing business cases, quantifying benefits, and sizing potential opportunities.
• Engage in user acceptance testing (UAT) and oversee ongoing performance and accuracy monitoring of economic models.

Application Information

Interested candidates should apply by August 31, 2026. Applications will be reviewed, and suitable applicants will be contacted for the next steps.

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