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Salary
≈ $27k – $58k per year (Estimated)
Location
In office (Mumbai)
Seniority
Staff

First seen by Alion on Sep 1, 2026. Aditya Birla Group scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Aditya Birla Group is an Indian multinational conglomerate headquartered in Mumbai, operating across more than 40 countries. The group holds market-leading positions in diverse industries, including metals, cement, textiles, chemicals, financial services, telecom, and fashion retail. With a history tracing back to 1857, it generates over half of its global revenue from its extensive international operations.

This role is part of the Group Data and Analytics team, driving high-impact AI, Data Science, and Analytics initiatives across multiple businesses. The individual will partner with business and technology leaders to identify opportunities, develop scalable AI/ML solutions, and deliver measurable business outcomes.

The role is responsible for translating complex business challenges into data-driven solutions, driving adoption, and ensuring sustainable value realisation through strong stakeholder engagement, governance, and innovation.

The candidate will have responsibilities across the following functions:

AI and Data Leadership:

  • Lead the design, development, and deployment of advanced AI/ML and analytics solutions.
  • Drive innovation by leveraging emerging technologies, data science techniques, and industry best practices.
  • Build scalable, reusable AI assets and analytical frameworks across businesses.

Business Problem Solving and Stakeholder Management:

  • Partner with business leaders to identify, prioritise, and solve high-impact business problems.
  • Translate business requirements into analytical solutions and drive stakeholder alignment.
  • Develop compelling business cases, dashboards, and executive presentations.

Value Realisation:

  • Deliver measurable business impact through AI and Analytics initiatives across growth, efficiency, customer experience, and risk management.
  • Promote reusability and adoption of successful solutions across businesses.

People and Capability Development:

  • Mentor and develop analytics talent.
  • Foster a culture of innovation, collaboration, and data-driven decision-making. Business KRAs
  • Drive revenue growth, operational efficiency, and customer experience improvement through AI and Analytics.
  • Enable businesses to build AI capabilities and data-driven decision-making practices.
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