ABOUT THE SCIENTIFIC DATA STRATEGY OFFICE AT A*STAR

With data at the core of A* STAR's vision to be Singapore's Data, AI, and Hybrid Compute node for scientific research, the newly established Scientific Data Strategy Office (SDSO) is responsible for strategizing the delivery of Whole-of-A* STAR data products and services. The SDSO also advocates for data literacy and partnerships to create value while ensuring safe usage of scientific data through best practices.

To realize these ambitions, the SDSO is tasked with:

1. Establishing A*STAR's scientific research data management framework:

• Developing and updating policies to promote good data management practices.
• Enforcing data security and compliance with standards, agreements, and regulatory requirements.
• Collaborating with other public or private sector data departments on data quality, standards, and interoperability.

2. Establishing A*STAR's scientific data architecture:

• Defining data products from new and existing cross-domain scientific data assets to support research use cases.
• Forging strategic data partnerships at both national and international levels to enrich A*STAR's data assets.
• Developing best practices for data engineering to transform data assets into products.

3. Establishing A*STAR's scientific data advocacy framework:

• Defining data services from new and existing cross-domain scientific data assets to empower Whole-of-A*STAR to be more data-driven through self-help.
• Developing data advocacy initiatives to raise awareness and literacy in scientific data management, products, and services.
• Connecting A*STAR's data framework with other national (e.g., MOH's TRUST and GovTech's enTRUST) and global data frameworks.

Job Title: Data Products and Partnerships Specialist (DPPS)

Location: A*STAR

Reporting to: Director, Scientific Data Strategy Office

Role Overview: We are seeking an experienced Data Products and Partnerships Specialist (DPPS) to join A* STAR. The primary role of the DPPS is to support the implementation and management of A* STAR's scientific research data products and partnerships, aiming to enhance data quality, foster innovative research, and drive impactful scientific discoveries.

Key Responsibilities:

• Develop Data Architecture: Drive the development of A*STAR's scientific research data architecture, including compute requirements and specifications, leveraging proven architectures and best practices.
• Expand Data Products: Lead the development of A*STAR's scientific research data products portfolio, including data catalogues, features, dashboards, and marketplaces, utilizing existing and new data assets to meet current and future research needs.
• Formulate Partnerships: Develop and implement A*STAR's data partnership strategy to enhance scientific data assets and support key research use-cases.
• Implement Engineering Practices: Define and enforce data engineering practices across research teams and departments, ensuring data quality, standards, and interoperability.
• Evaluate Impact: Establish an evaluation framework to measure the value and impact of the SDSO's data product and partnership strategies and initiatives.
• Advise on Trends: Provide insights and updates to A*STAR management and research staff on industry trends, standards, and best practices related to data engineering and architecture, recommending modifications as necessary.

Job Requirements:

• Experience: 5-8 years in data engineering and architecture, with experience in developing and implementing data architectures and engineering processes. At least 3 years of experience in driving cross-functional data initiatives.
• Education: Bachelor's degree in Computer Science, Data Analytics, Data Science, Data Engineering, Information Management, or a related field. A Master's degree or certifications in data engineering or data product management is preferred.
• Technical Skills: Deep understanding of data architecture and engineering practices.
• Analytical Skills: Strong analytical capabilities to assess the efficacy of data product and partnership strategies.
• Mentorship: Ability to mentor junior officers.
• Communication: Excellent communication, presentation and interpersonal skills.
• Organizational Skills: Strong organizational skills and attention to detail.
• Proficiency: Proficient in relevant data engineering tools and applications.
• Contextualization: Ability to contextualize government policies and industry best practices in data engineering and architecture within A*STAR's context for scientific data.
• Collaboration: Ability to work effectively with various data-relevant stakeholders across A*STAR entities.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.