Diversified conglomerate operating manufacturing, financial services, and retail across 41 countries
Aditya Birla Group is a 65B USD conglomerate spanning aluminium, cement, viscose fibre, chemicals, financial services, fashion, and hospitality across 41 countries. The tech stack reflects operational complexity: SAP ERP (including S/4HANA and SD modules), Oracle suites, SCADA/DCS for manufacturing control, and recently adopting Salesforce and Dynamics 365 alongside SAP C4C—a CRM shift suggesting a push toward customer-centric operations. Current hiring focuses on engineering (26 roles), manufacturing (17), and finance (15), with mid-seniority dominance; pain points around production waste, equipment breakdowns, and compliance indicate active operational optimization initiatives.
Notable leadership hires: Retail Operations Head, Process Lead
Aditya Birla Group operates a multi-sector portfolio with over 10,000 employees across 41 countries, headquartered in Mumbai. Recent ventures include branded retail jewellery (Indriya), premium casual dining, paints (Birla Opus), and Birla Pivot, a B2B e-commerce platform for building materials. The group also manages solar-wind hybrid capacity (1.33 GW), financial services divisions, and operates across verticals including textiles, telecom, fertilizers, and chemicals. Beyond commercial operations, the group focuses on community impact across 9,000 villages, reaching 11 million people annually.
Core systems: SAP (S/4HANA, SD, Transportation Management), Oracle (E-Business Suite, Hyperion, Identity Cloud), SCADA/DCS for manufacturing. Security: Zscaler, Active Directory, EDR, DLP. Analytics: QlikView. Recently adopting Salesforce and Dynamics 365.
Active projects include 1.33 GW solar-wind hybrid capacity, process improvement for waste reduction, revenue leakage identification, GST compliance reporting, equipment reliability, energy conservation, and sustainability implementation across manufacturing operations.
Aditya Birla Group's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.