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Tier-1 brand, mid-level role in metro with broad data and finance skill requirements increases candidate competition.
Requires investment/finance domain expertise and governance experience, limiting cross-industry transferability.
Explicit 5-8 years, finance/investment data domain and specific toolset requirements make screening highly stringent.
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Lead execution of the CIM Data Strategy, focusing on creating scalable, trusted financial data assets to enhance analytics and process modernization.
Own end-to-end delivery from deep data profiling, data transformation (SQL/Python), model design, to productionization handoff, ensuring maintainability and enterprise scalability.
Define and enforce data governance standards including data quality, lineage, naming conventions; collaborate with investment and technology teams for aligned implementation.
5-8 years of experience in Finance/Investment data, analytics engineering, BI, or data strategy.
Strong SQL skills and hands-on experience with data transformations; experience with data modeling and semantic layers.
Understanding of Investment and Finance processes such as GL, FP&A, cost allocations, and forecasting.
Location: Hyderabad, India (Hybrid). Familiarity with Fabric, Databricks, Denodo, Power BI preferred.
Experienced in leading teams or delivering complex data programs within financial or investment contexts.
Able to integrate business goals with data governance and technology solutions, showing strategic leadership in data standardization and quality.
Comfortable working cross-functionally with Investment SMEs and technical teams to ensure accuracy and scalable implementation of data initiatives.