DataSphere Product Lead

Singpass

Singapore

On-site

SGD 160,000 - 210,000

Full time

4 days ago
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Job summary

Ministry Of Social And Family Development in Singapore seeks an Assistant Director to lead DataSphere delivery, align data strategy with transformation goals, and supervise a team focusing on data governance and analytics.

You will translate business needs into product requirements, work with technical partners, and drive adoption across divisions to enable better data-driven decisions.

Qualifications

  • Essential: Relevant tertiary qualification in Information Systems, Computer Science, Data Science, Business Analytics, Engineering, Business or related discipline.
  • Desirable: Experience with enterprise data platforms and analytics tools.
  • Desirable: Knowledge of Singapore Government data governance, security and IM8 requirements.

Responsibilities

  • Support the Product Owner in shaping the DataSphere product roadmap, priorities and backlog.
  • Translate business and user needs into clear requirements and use cases with stakeholders to drive implementation.
  • Oversee DataSphere initiatives including data onboarding, integration, data quality and governance enhancements.
  • Monitor delivery, dependencies and risks, and escalate issues as needed.
  • Engage divisions to identify valuable DataSphere use cases and drive platform adoption.
  • Lead and supervise officers, build capabilities in product management, data management and stakeholder engagement.

Skills

Product management
Stakeholder management
Team leadership
Data governance
SQL
Data platforms

Education

Tertiary qualification in information systems or related field

Tools

Databricks
APIs
ETL pipelines

Job description

Ministry Of Social And Family Development in Singapore seeks an Assistant Director to lead DataSphere delivery, align data strategy with transformation goals, and supervise a team focusing on data governance and analytics.

You will translate business needs into product requirements, work with technical partners, and drive adoption across divisions to enable better data-driven decisions.

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