Indian conglomerate spanning metals, cement, chemicals, finance and renewables
Aditya Birla Group is a Mumbai-headquartered multi-industry conglomerate whose current hiring centers on utility-scale wind and solar build-out, with site-head and land-acquisition leadership roles open. The stack pairs SAP and Oracle Hyperion finance systems with a multi-cloud data layer (Azure Data Factory, Databricks, AWS Glue), while SAP C4C, Salesforce and Dynamics 365 appearing as adopted tools point to active CRM evaluation across business units.
Notable leadership hires: Wind Site Head, Solar Site Lead, Land Acquisition Head
Aditya Birla Group is a privately held conglomerate headquartered in Mumbai, Maharashtra, with more than 10,001 employees. Its businesses cover aluminium and copper, cement, viscose staple fibre, chemicals, carbon black, financial services, branded apparel, textiles, retail, telecom and fertilizers. Recent ventures include paints, branded jewellery, hospitality and a B2B building-materials e-commerce platform. The group operates across more than 40 countries, while current hiring is concentrated in India across operations, engineering, manufacturing and finance.
The stack includes SAP, SAP SD, Oracle Hyperion, Power BI, QlikView, Blue Yonder, Azure Data Factory, Databricks, AWS Glue, Azure Machine Learning, MLflow, SCADA, Siemens PLC and Oracle Primavera.
Yes. Hiring is accelerating in India, led by operations and engineering, with leadership openings for a Wind Site Head, Solar Site Lead and Land Acquisition Head tied to utility-scale wind and solar work.
Signals show adoption of SAP C4C, Salesforce, Dynamics 365, SugarCRM and Infor, alongside SAP HANA, suggesting CRM and ERP modernization across its businesses.
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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.