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Open nowPosted 17 days ago

VP System Analyst

MyCareersFuture94,028 open roles

Pay
SGD 12,000 – SGD 14,000 a Monthly
Where
Singapore
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Your applicationOpen nowVP System AnalystMyCareersFuture · Singapore

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The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 17 days ago

The posting

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 AIinitiatives.

You will be responsible for end-to-end delivery of enterprise data andanalytics solutions leveraging traditional and modern Data architecture.

Key Responsibilities

  • 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.
  • Drive productivity, efficiency & quality improvements across delivery and operational processes.
  • Lead innovation and modernization initiatives, including data discovery, cataloguing, governance, and AI enablement.
  • Ability to design data architectures supporting NLP and AI-driven analytics, including ingestion, curation, and governance of unstructured data within Data Lake, Data warehouse platforms.
  • Strong understanding of AI design governance, including explainability, lineage, confidence thresholds, and regulatory acceptability of AI-assisted insights.
  • Proven experience delivering large-scale analytics platforms within financial services spanning structured, semi-structured, and unstructured data
  • Ability to define data architectures and data flows that ingest, curate, and govern unstructured and semi-structured data within enterprise data platforms.
  • Strong experience defining and governing enterprise Data architectures to support batch, micro-batch, and near real-time analytics.
  • Ability to translate business, regulatory, and analytics requirements into logical data layering and curation strategies that support reporting, analytics, and AI/NLP use
  • At least two relevant technical certifications across data platforms, cloud, or analytics technologies.
  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
  • An uncompromising commitment to quality, resilience, and regulatory compliance
  • Strong stakeholder engagement skills across business, technology, vendors, and leadership
  • Excellent problem-solving and decision-making capabilities
  • Ability to manage multiple concurrent initiatives under tight timelines
  • Clear and effective communication of technical concepts to non-technical audiences
  • Deep understanding of Agile and iterative delivery models
  • Proven ability to collaborate within globally distributed teams
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