People and Workforce Intelligence Lead

About the role

Surbana Jurong is looking for a People and Workforce Intelligence Lead to transform how the Group uses data, technology and AI to make smarter people and workforce investment decisions. Reporting to the Global Director, Total Rewards and People Science, this is not a traditional HR reporting role: the mandate is to build an enterprise-wide People Sciences capability combining statistical analysis, decision modelling, technology adoption and AI-enabled automation to improve performance, productivity and return on people's investment.

Key responsibilities

• Define and execute the enterprise-wide People Sciences roadmap, moving from descriptive and diagnostic analytics to predictive insights, statistical testing and prescriptive decision models.
• Analyze large and complex datasets, identify emerging risks and opportunities, and build models to guide workforce planning, organizational design, rewards, productivity and capital allocation.
• Drive the implementation, adoption and optimization of enterprise platforms such as Workday in support of Total Rewards.
• Leverage LLMs, AI agents and automation to augment human capabilities, simplify workflows and improve decision-making and scaling.
• Translate complex analysis into storyboards, visualizations and actionable recommendations for leaders.
• Lead a small specialist team, set analytical standards and act as a trusted expert who challenges assumptions.

Required profile

• Proven experience in enterprise people analytics, decision science, HR technology or data-led transformation.
• Experience driving enterprise-wide adoption of Workday or comparable platforms.
• Strong quantitative capabilities, including statistical modelling, hypothesis testing, scenario analysis and large datasets.
• Understanding of AI and LLMs and their practical application to enterprise processes.
• Ability to be both a hands-on expert and a thought leader of a small, high-performing team.
• Attention to detail, intellectual curiosity, comfort with ambiguity and confidence to challenge senior stakeholders.

Required skills

• Proficiency in BI tools
• Knowledge of SQL, Python and AI development frameworks is an advantage