Data Manager, Smart City Planning & Governance

Public Service Division

Singapore

On-site

SGD 90,000 - 140,000

Full time

9 days ago

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Job summary

Urban Redevelopment Authority (URA) Singapore is seeking a Data Manager to strengthen how planning data is collected, governed, shared and used. You will engage agencies and multi-disciplinary teams to map workflows, data systems and pain points, identifying actionable opportunities for improvement.

You will translate planning and user needs into clear data, product and engineering requirements, driving alignment between agencies and technical teams while partnering with data platforms to

Qualifications

  • Experience in planning/data governance, quality, and lifecycle management.
  • Knowledge of geospatial data analytics and cloud data platforms would be advantageous.
  • Ability to translate data needs into clear requirements across business and technical teams.

Responsibilities

  • Proactively engage agencies and stakeholders to map planning workflows and data systems.
  • Lead business analysis to surface data quality gaps and governance improvements.
  • Translate planning needs into data, product, and engineering requirements to align agencies and technical teams.
  • Partner with technical teams to design and deliver data pipelines, platforms, and applications.
  • Represent end-user and planning perspectives in product and architecture discussions.
  • Own metadata, data access and governance practices across the organisation.
  • Evaluate emerging data and AI technologies and recommend adoption pathways.
  • Spearhead cross-agency initiatives to adopt DPLab platforms and capabilities.

Skills

Data management
Stakeholder engagement
Business analysis
Systems thinking

Tools

Geospatial platforms
Data pipelines

Job description

Urban Redevelopment Authority (URA) Singapore is seeking a Data Manager to strengthen how planning data is collected, governed, shared and used. You will engage agencies and multi-disciplinary teams to map workflows, data systems and pain points, identifying actionable opportunities for improvement.

You will translate planning and user needs into clear data, product and engineering requirements, driving alignment between agencies and technical teams while partnering with data platforms to

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