Life insurance distribution platform backed by Indian public-sector banks and Japan's Dai-ichi Life
Star Union Dai-ichi Life operates India's largest life insurance distribution network, spanning over 11,000 branches and serving 64 million customers. The tech stack is heavily Microsoft-centric (SQL Server, Azure Data Factory, Synapse Analytics) with Python-driven automation (UiPath, Selenium, Robot Framework) for testing and process extraction — a pattern typical of financial services modernizing legacy workflows. Active project mix (underwriting ML, HRMS automation, MIS dashboards, compliance testing) and pain points (revenue leakage, process inefficiencies, endpoint compliance) point to a mid-transformation organization scaling automated controls and data visibility.
Notable leadership hires: Zonal Head
Star Union Dai-ichi Life Insurance is a joint venture between Bank of India, Union Bank of India, and Dai-ichi Life Holdings (Japan's second-largest life insurer). Established in 2009, the company distributes life insurance products through over 11,000 branches across India, with particular reach into rural markets via 1,950 partner Regional Rural Banks. The customer base exceeds 64 million. Operations span traditional distribution, underwriting, product development, and compliance across a workforce of 5,001–10,000 employees headquartered in Navi Mumbai. Current hiring focus is concentrated in sales and finance roles with senior-level placements.
Primarily Microsoft-based: SQL Server, Azure SQL Database, Azure Data Factory, and Azure Synapse Analytics. Testing and automation rely on Python, Selenium, Appium, UiPath, and Robot Framework. Jira and Confluence for collaboration.
Yes. 14 active roles across sales (5), finance (3), engineering (2), data (1), and other functions. Hiring concentrated in India with emphasis on senior and lead-level positions.
Active projects include AI/ML underwriting solutions, HRMS automation, MIS dashboards, customer onboarding process improvements, compliance testing, and bank/partner integrations. Focus areas reflect scaling compliance controls and operational efficiency.
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