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Assistant Director (Data Architecture)

DIS-DOTC

Singapore

On-site

SGD 60,000 - 80,000

Full time

2 days ago
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Job summary

A defense organization in Singapore is seeking an Assistant Director (Data Architecture & Standards) to lead initiatives in data architecture across Operations and Intelligence domains. Candidates should have a strong foundation in data governance and analytics, bolstered by at least 6 years of relevant experience. This role emphasizes collaboration with stakeholders and the introduction of innovative technologies, including AI and Machine Learning, to enhance data capabilities.

Qualifications

  • 6 years of data-related experience in areas such as data policy, governance or analytics.
  • Experience with database management systems and data analytics.
  • Experience in complex and large organization in operations-related work.

Responsibilities

  • Design and implement data architecture for Operations and Intelligence domains.
  • Develop and implement data governance, quality frameworks and processes.
  • Communicate technical details to stakeholders and conduct data maturity assessments.

Skills

Strong analytical skills
Excellent writing and communication skills
Understanding of data governance
Interest in data science and digital technology

Education

Education in engineering or computer science
Job description

Open to Singaporean Citizens Only

What We Offer You As Assistant Director (Data Architecture & Standards), we offer you the opportunity to shape the future of data architecture across critical Operations and Intelligence domains in the Singapore Armed Forces. This role offers exposure to emerging technologies in AI, Machine Learning, and cloud computing, allowing you to research and introduce innovative data tools and platforms that directly impact Singapore Armed Forces capabilities. You will work on complex challenges while building your expertise in a mission‑critical environment with support from experienced stakeholders across the organisation.

Who We Are Looking For The ideal candidate possesses strong interpersonal skills, genuine curiosity about and digital technology, and have the initiative to tackle complex data challenges across Operations and Intelligence domains.

What You Will Do

Design and implement data architecture for Operations and Intelligence domains

  • Act as a translator for business needs within the Singapore Armed Forces and coordinate resources in developing and implementing domain data strategies
  • Develop and implement standard operating procedures for data catalogues, data hubs and authoritative data sources
  • Communicate both high‑level and low‑level technical details to engineers and business stakeholders Conduct data maturity assessments for Operations and Intelligence domains

Research and implement data governance, quality and emerging technologies (eg. AI/ML)

  • Lead technical design of data governance, security and privacy to fulfil compliance requirements
  • Work with Digital Transformation Centre and commercial partners to introduce tools to detect data quality issues and enhance quality of data
  • Implement data quality frameworks and processes to address requirements
  • Scan and examine data tools and platforms in the market to enhance/upgrade existing data infrastructure
  • Co‑develop data policies for Singapore Armed Forces Cloud architecture
  • Apply domain‑oriented data architecture for scalability and flexibility

What You Will Bring

  • Education in engineering or computer science preferred
  • 6 years of data‑related experience in areas such as data policy, governance or analytics
  • Understanding of database management, data modelling, and data governance
  • Excellent analytical, writing and communication skills to collaborate with Ministry of Defence/Singapore Armed Forces stakeholders and external professionals
  • Strong interest and conversance in data science and digital technology
  • Initiative and drive to manage complex data issues in the Singapore Armed Forces
  • Relevant experience in database management systems, data analytics and data science will be advantageous
  • Experience in - complex and large organisation in operations‑related work to understand operational data will be advantageous
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