VP - Data Analytics (ML, Python,Big Data)

Join a leading bank as a VP - Data Analytics, where you will drive the delivery of enterprise data, analytics, and AI-enabled solutions that support business growth, regulatory compliance, risk management, and customer insights across the organization.

• Lead end-to-end delivery of enterprise data, analytics, and AI-enabled solutions across the full SDLC, from requirements gathering through implementation and production support.
• Analyze business and regulatory requirements and translate them into scalable data architectures, functional designs, and solution roadmaps
• Design and govern modern data platforms supporting structured, semi-structured, and unstructured data, including advanced analytics, machine learning, NLP, and real-time insights.
• Collaborate with business, technology, data science, and operations teams to ensure solution quality, data integrity, regulatory compliance, and successful delivery.
• Drive innovation, platform modernization, data governance, root cause analysis, and continuous improvement initiatives to enhance business value and operational efficiency.

• Requirements

• Proven experience delivering large-scale data, analytics, and decision-support solutions within banking or financial services environments.
• Strong expertise in business analysis, requirements management, solution design, data modelling, data governance, and regulatory compliance.
• Hands-on experience with modern data platforms such as Databricks, Snowflake, Azure Fabric, BigQuery, Hadoop, Spark, and related technologies.
• Proficiency in SQL and data analytics technologies, with working knowledge of Python and BI/visualization tools such as Power BI or QlikSense. [
• Strong understanding of machine learning, NLP, AI governance, explainability, data lineage, and regulatory controls for AI-enabled solutions.
• Experience with data integration, data quality management, metadata management, data lineage, reconciliation, and enterprise data architecture.

Interested candidates please email your latest resume to [Confidential Information]