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You will be responsible for end-to-end delivery of enterprise data and analytics solutions leveraging traditional and modern Data architecture. Experience with Financial Crime Analytics , Finance & Credit Risk Analytics , Credit Scoring & Decision systems, Retail & Wholesale Datamarts will of advantage The role spans requirements analysis, solution design, testing, implementation, and production support ensuring high-quality, scalable, and compliant data platforms that support advanced analytics and AI initiatives. Requirements Lead end-to-end solution delivery for data and analytics across the full SDLC. Analyze business and regulatory requirements, translate them into scalable solution designs & provide estimations. Communicate complex technical and architectural concepts to business and senior stakeholders in a clear, simplified manner. Review and approve test strategies, functional test cases, and data validation approaches. Manage risks and issues related to scope, data quality, regulatory commitments, and delivery timelines. Participate in product and platform evaluations (RFPs, PoCs) for data, analytics, and AI tooling. Partner with production support team to conduct root cause analysis, resolution, and preventive controls. Lead innovation and modernization initiatives, including data discovery, cataloguing, governance, and AI enablement. Drive productivity, efficiency & quality improvements across delivery and operational processes.. Ability to design data architectures supporting NLP and AI-driven analytics. FUNCTIONAL SKILLSETS Analytics Domains •        Financial Crime Analytics Transaction Monitoring, Customer Due Diligence, Sanctions & Payments Screening •        Finance & Credit Risk Analytics Financial reconciliation, Allocation, Performance management, Regulatory and Management reporting,  Credit risk exposure, NPL, Counterparty risk, Basel & IFRS9 input variables   Enterprise Data, Analytics & Unstructured Data Enablement Proven experience delivering large-scale analytics platforms within financial services spanning structured, semistructured, and unstructured data Strong capability in requirements analysis and functional design for analytics use cases involving Transactional data, Investigator narratives, Case notes and alerts, Policy & Customer communications documents. Experience defining dataquality, governance, lineage, and reconciliation controls for both structured and NLP-derived datasets.