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Tier-1 brand, metro location, mid-level seniority and broad technical plus finance skills drive high competition.
Requires deep investment and finance data governance expertise, making cross-industry transferability limited.
Explicit 5-8 years, mandatory finance data expertise and SQL/Python plus platform experience increase strictness.
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Lead execution of CIM’s Data Strategy focusing on building trusted, scalable data assets for investment analytics and process modernization.
Define and advance data governance roadmap including data standardization, quality improvement, lineage, KPI harmonization, and reporting modernization.
Oversee end-to-end delivery including data profiling, SQL/Python transformations, data modeling, validation, and collaboration with technology and investment SMEs for production-grade data solutions.
5-8 years of experience in Finance/Investment data, analytics engineering, BI, or data strategy.
Strong expertise in SQL and hands-on experience with data transformation logic.
Experience designing or building data models, semantic layers, or reporting-ready datasets.
Location: Hyderabad, India with hybrid work model.
Experienced in investment/finance domain with understanding of GL, FP&A, cost allocations, forecasting processes.
Able to lead a blended team, manage cross-functional partnerships across technology, architecture, engineering, and governance.
Familiar with tools such as Fabric, Databricks, Denodo, and BI platforms with capability to deliver scalable, maintainable data products.