Team Lead, Research Data & Analytics

About the role

The College of Engineering at Nanyang Technological University, Singapore invites applications for the position of Team Lead, Research Data & Analytics within its Research & Partnerships Team. You will lead the College's research data and analytics function, strengthening the quality, consistency and usability of research funding, publication and related information. The role works across Schools, Research & Partnerships teams and University offices.

Key responsibilities

• Lead Team 5's workplan, priorities and delivery across research data reporting and analytics, research data management and intranet governance.
• Review data requirements and workflows, and coordinate the collation, verification, reconciliation and interpretation of research funding, publication and citation data.
• Develop and maintain standard templates, SOPs, data definitions, master datasets and quality-control processes.
• Produce management reports and insights for College, School and University stakeholders.
• Identify and implement process improvements, dashboards and automation to reduce manual effort and strengthen transparency.
• Coordinate with University offices on Research Driver, RISE, Interfolio-Pure and related data processes.
• Clarify College and School responsibilities and coordinate improvements to the College's research data management framework.
• Lead the development and maintenance of Research & Partnerships intranet content.
• Manage stakeholder requests, present progress and risks, and guide team members in delivering accurate and timely work.

Required profile

• University degree in data analytics, information systems, engineering, statistics, public administration or a related discipline.
• At least 1 year of relevant experience in data analytics, management reporting, data governance, process improvement or research administration.
• Experience leading projects or small teams and coordinating across multiple stakeholders.
• Strong attention to detail, ability to set standards, manage competing deadlines and handle sensitive information appropriately.

Required skills

• Advanced proficiency in Microsoft Excel.
• Working proficiency in Power BI or an equivalent data visualisation tool.
• Exposure to automation, databases, scripting or research information systems is an advantage.