AVP, Data Governance (Data Stewardship), Technology Group

GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 offices around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore’s financial future, and the communities we invest in worldwide.

Enterprise and Data Technology
Enterprise & Data Technology builds and advances the technology that underpins our enterprise and data capabilities. It brings together our core technology and data experts to design and deliver platforms for integration, analytics, and innovation. By combining these strengths into one coordinated group, we create seamless solutions that connect systems, improve data accessibility, and leverage AI at the platform level to enable smarter decision-making. Through modern, scalable, and secure technology, the team empowers the organisation with tools that drive insight, collaboration, and operational excellence.

What impact can you make in this role?
The Data Stewardship team member will support GIC’s enterprise data governance and management initiatives, focusing on unstructured data assets. This role requires attention to detail, technical proficiency, and strong collaboration skills to assist in implementing scalable data stewardship processes that ensure data quality, compliance, and usability across the organization.  

What will you do as a AVP, Data Governance(Data Stewardship)?

• Data Classification: Support the application and maintenance of classification standards for unstructured data, ensuring consistency and accuracy across business lines.

• Data Annotation and Labelling: Perform data annotation and labelling tasks to accurately identify and tag unstructured data samples, improving data quality and supporting AI and machine learning initiatives. 

• Collaboration & Support: Work closely with data engineers, cybersecurity teams, and AI specialists to support algorithm improvements, address data discrepancies, and ensure accurate data labelling and classification.  

• Process Optimization: Contribute to the continuous improvement of data annotation and classification processes by identifying inefficiencies and proposing enhancements.  

• Stakeholder Engagement: Collaborate with business data owners, stewards, and central data management teams to support ongoing and future data needs, ensuring alignment with enterprise governance objectives.  

• Enterprise Data Management for Unstructured Data: Support end-to-end data management activities for unstructured data, including data registration, classification, tagging, and quality checks. Assist in maintaining data lifecycle processes and ensure all tasks adhere to GIC’s data governance standards and enterprise data architecture principles.

What qualifications or skills should you possess in this role?  

• Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, or a related discipline.  

• 5–8 years of experience in data governance, data management, or unstructured data processing, preferably in an enterprise environment.  

• Proven expertise in data classification, taxonomy development, and labeling, with hands-on experience supporting AI/ML data workflows.  

• Strong understanding of data architecture principles, data lifecycle management, and data quality assurance.  

• Experience collaborating with data engineers, cybersecurity teams, and business stakeholders to improve data accuracy and support algorithm enhancements.  

• Demonstrated ability to optimize processes, identify inefficiencies, and implement improvements in data annotation and management workflows.  

• Excellent analytical, communication, and stakeholder management skills, with the ability to bridge technical and business perspectives.  

• Detail-oriented, proactive, and capable of working independently while contributing to enterprise-wide data governance objectives.

Desired Attributes

• Proactive and eager to learn new technologies and data management practices.  

• Strong teamwork and coordination skills.  

• Ability to manage multiple tasks and deliver high-quality results under tight timelines.  

• Passionate about improving data quality and enabling data-driven decision-making.  

Work at the Point of Impact
We need to be forward-looking to attract the right people to help us become the Leading Global Long-term Investor. Join our ambitious, agile, and diverse teams - be empowered to push boundaries and pursue innovative ideas, share your views, and be heard. Be anchored on our PRIME Values: Prudence, Respect, Integrity, Merit and Excellence, which guides us in how we make our day-to-day decisions. We strive to inspire. To make an impact.     

Flexibility at GIC
At GIC, our offices are vibrant hubs for ideation, professional growth, and interpersonal connection.  At the same time, we believe that flexibility allows us to do our best work and be our best selves.  Thus, our teams come into the office four days per week to harness the benefits of in-person collaboration, but have the flexibility to choose which days they work from home and adjust this arrangement as situational needs arise.

GIC is an equal opportunity employer 
GIC is an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
Please email grphrodtaops@gic.com.sg at any point of the application or interview process if adjustments need to be made due to a disability.

Learn more about our Technology Group here: 
https://gic.careers/group/technology-group/