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VP/SVP, Enterprise Data Architect


Singapore, SG

Job Function:  Data & Technology
Job Type:  Permanent
Req ID:  10883

Data Strategy Group 


Data Strategy Group (DSG) harnesses and leverages on GIC’s most valuable asset – Data, to drive insights, results and solve real business challenges. We ingest, analyze and combine data with context across all industries and asset classes to enable investment decisions and enhance investment process. Together, we strive to build a high-performance enterprise data infrastructure, create results-driven approach with data products and strive to be a data-driven organization. 


We are hiring an VP/SVP, Enterprise Data Architect, this role will play a key role to partner and deliver business stakeholder in delivering quality data to GIC. 


Join us if you have a passion for data and be part of a team of forward-looking data professionals in building and developing GIC’s data foundation and infrastructure. You can make a difference in our data journey to shape our world of investments. 




  • Design and oversee GIC’s current and future enterprise data architecture and blueprints to ensure data can meet both present and future business needs.
  • Align enterprise data architecture with technology and business architecture.
  • Proactively design and refine future data architecture to meet and anticipate future business data needs.
  • Consider and generate value for GIC, and not just for specific business unit.
  • Partner closely with respective stakeholders to shape and move towards future data architecture.
  • Develop incremental plans to move from current to target state.
  • Be part of an interdisciplinary team that develop information asset classification and search capabilities, such as building the word net and concept map to facilitate the training of the machine learning classification models.
  • Provide advisory in assessing data related risk and evaluate the effectiveness of risk controls.




  • Bachelor's Degree in Information Technology, Computer Science or equivalent. 
  • At least 8 to 10 years of relevant experience in data architect expertise, ideally in finance or asset management industry. 
  • At least 5 years of relevant experience in data modelling and data architecture related work.  
  • Ability to engage with business, gather requirements on business needs and translating them into data solutions.   
  • Strong communication and people engagement skills to interact internally within team and externally across functions to design and develop solutions. 
  • Passion for data, pro-active and great sense of purpose to relook existing data usage and implement innovation to strive for greater quality and efficiency of data solutions.  

Our PRIME Values

Our PRIME Values

GIC is a values driven organization. GIC’s PRIME Values act as our compass, enabling us to fulfil our fundamental purpose and objectives. It is the foundational bedrock which governs our behaviors, our decision making, and our focus. It informs both our long-term strategy as a firm, and the way we relate to our Client, business partners and employees. PRIME stands for Prudence, Respect, Integrity, Merit and Excellence.