Senior Vice President, Artificial Intelligence

Singlife is a leading homegrown financial services company, offering consumers a better way to financial freedom. Through innovative, technology-enabled solutions and a wide range of products and services, Singlife provides consumers control over their financial wellbeing at every stage of their lives. In addition to a comprehensive suite of insurance plans, employee benefits, partnerships with financial adviser channels and bancassurance, Singlife offers investment and advisory solutions through its GROW with Singlife platform. It also offers the Singlife Account, a mobile-first insurance savings plan. Singlife is the exclusive insurance provider for the Ministry of Defence, Ministry of Home Affairs and Public Officers Group Insurance Scheme. Singlife is also an official signatory of the United Nations Principles for Sustainable Insurance and the United Nations-supported Principles for Responsible Investment, affirming its commitment to finding a better way to sustainability. The merger of Aviva Singapore and Singlife was announced in September 2020 and created one of the largest homegrown financial services companies in Singapore in a deal valued at S$3.2 billion. It was the largest insurance deal in Singapore at the time. Singlife was subsequently acquired by Sumitomo Life in March 2024, one of Japan’s leading life insurers, which valued Singlife at S$4.6 billion, making the transaction one of the largest insurance deals in Southeast Asia. Role Summary: The Senior Artificial Intelligence Officer is responsible for defining, executing, and governing Singlife’s enterprise GenAI strategy. This involves driving the delivery of measurable business outcomes while meeting regulatory, ethical, and risk management standards. This role is critical in embedding GenAI as a core capability across Singlife’s distribution, underwriting, customer engagement, and operations, while ensuring compliance with MAS guidelines and internal Responsible AI frameworks. The Senior AI Officer owns end‑to‑end GenAI strategy, governance and implementation, bridging business, technology, and risk functions. Key Appointments Enterprise owner of Singlife's Artificial Intelligence and Generative AI strategy, governance, and operating model. Responsible for embedding AI and GenAI capabilities across Distribution, Underwriting, Customer Engagement, Operations, and Corporate Functions. Accountable for AI governance, model risk management, and compliance with applicable regulatory requirements and internal Responsible AI frameworks. Executive sponsor for enterprise AI literacy, capability building, and adoption initiatives. Key Responsibilities Enterprise GenAI Strategy & Business Impact Define Singlife’s GenAI strategy and roadmap aligned with enterprise priorities. Identify, prioritize, and scale high-value GenAI use cases. Translate GenAI into measurable outcomes, including revenue uplift, cost efficiency, and customer / advisor metrics. Drive GenAI investment prioritization and business case evaluation AI Deployment, Platforms & Operating Model Lead end-to-end GenAI lifecycle: use case design, development, deployment, monitoring, and scaling Establish enterprise AI platforms (e.g., cloud AI, GenAI services, MLOps/LLMOps) Define and institutionalize Singlife’s GenAI operating model Technical Expertise in GenAI Identify emerging AI technologies and partnerships to drive competitive advantage. Evaluate and manage vendors and platforms (GenAI, automation, analytics) Cross-Functional Leadership & Transformation Drive AI adoption across business units. Align senior stakeholders on AI priorities, investments, and progress. Talent , Culture & AI Literacy Lead high-performing AI, data science, and AI engineering teams. Drive enterprise AI literacy and upskilling across business functions. Foster a culture of responsible experimentation and data-driven decision making. AI Governance, Risk & Regulatory Compliance Establish and maintain AI governance frameworks covering model lifecycle, controls, and auditability Ensure compliance with MAS regulations, data privacy, and internal Responsible AI principles Oversee model risk management (bias, explainability, fairness, security, robustness) Team Direct accountability for AI Strategy, Data Science, AI Engineering, and AI Governance resources. Matrix leadership across business units to drive enterprise AI adoption and transformation. Responsible for building future AI capabilities and talent pipelines across the…