jobs in Tangspac

全职 VP - Data Analytics (ML and BI) 工作, 薪水 up to SGD 13,000, Tangspac 公司招聘中 - Ricebowl

VP - Data Analytics (ML and BI)

Tangspac

SGD11,000 - SGD13,000 每月

全职

Singapore

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工作地点

  • Singapore

职位描述

岗位职责

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

  • Min 10 years of experience in IT
  • 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.
  • 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.
  • Hands-on experience with modern data platforms such as Big data technologies including Databricks, Snowflake, Azure Fabric, BigQuery, Hadoop, Spark, and related technologies.

Interested candidates please email your latest resume to *************

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