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Open nowPosted yesterday

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

MyCareersFuture91,045 open roles

Pay
SGD 11,000 – SGD 13,500 a Monthly
Where
Central, Singapore
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Your applicationOpen nowVP - Data Analytics (ML, Python,Big Data)MyCareersFuture · Central, Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 1 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.1%30 days
This job: posted yesterday

MyCareersFuture median: 1 days open

The posting

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 [email protected]

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3×

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