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Tier-1 brand plus metro hiring and a visible senior data role increase candidate competition.
Role requires deep data engineering and governance experience in banking, limiting cross-industry transferability.
Senior VP-level role with leadership, governance, and domain expertise requirements enforces strict shortlisting.
Build and maintain data architectures including pipelines, warehouses, and lakes ensuring data accuracy, accessibility, and security.
Design and implement processing and analysis algorithms for complex and high-volume data.
Collaborate with data scientists to build and deploy machine learning models, while contributing to strategy, resource planning, and policy management at a senior leadership level.
Work Experience Required: Not explicitly mentioned in the JD
Mandatory experience in building and maintaining data pipelines, data warehouses, and data lakes with adherence to data security measures.
Proven ability to lead strategic planning, resource management, and policy implementation in data engineering contexts.
Not explicitly mentioned in the JD regarding mandatory degrees, notice period, or specific location requirements.
Experience operating at a senior leadership level managing multi-disciplinary data engineering teams or acting as a strategic individual contributor subject matter expert.
Comfortable in balancing short- and long-term goals while managing risks, budgets, and schedules within corporate requirements.
Strong in stakeholder management with ability to influence and negotiate across multiple business and functional areas to align technical/data strategies with business objectives.