Job Purpose:
A hands-on AI & Data Lead to build and lead our regional AI &Data workstream within the Business Technology function. This is a builder-leader role requiring strong techno-functional capability, someone who can independently drive initiatives from discovery through delivery, working directly with business stakeholders to define, design, and deliver scalable data and AI solutions. This is a direct, full-time role based in Singapore. This role requires periodic travel to other regional offices.
Key Tasks & Duties and Measurements:
- Partner with business leaders to identify, shape, and prioritize data, analytics, and AI opportunities across the region.
- Lead discovery, solution design, and delivery of enterprise data and AI initiatives end-to-end.
- Define and build data platform / data warehouse solutions, dashboards, and reporting capabilities.
- Design and implement AI use cases, including copilots, automation, and agentic AI solutions aligned to business outcomes.
- Act as the primary subject matter expert and delivery lead, leveraging shared development and QA teams where required.
- Collaborate closely with global and international IT and Digital teams to align regional initiatives with enterprise architecture, platforms, standards, and strategic priorities.
- Establish architecture, standards, governance, and best practices for regional AI and data platforms.
Key Measurements:
- Delivery of scalable data warehouse and AI capabilities across markets
- Adoption of AI and analytics solutions by business users
- Reduction in manual processes and improved data-driven decision-making
- Establishment of strong data foundations enabling future AI expansion
Requirements:
- Bachelor's degree in computer science, Engineering, Information Technology, Data Science, or related field required
- Master's degree and relevant cloud/data/AI certifications preferred.
- 8 to 10 years of experience in data engineering, analytics, and AI solution delivery, with strong hands-on technical expertise. 2 to 4 years of experience in Insurance & Broking domain.
- Proven experience with modern cloud data platforms (such as Databricks), BI tools (Power BI/Tableau), and AI technologies to deliver scalable data, analytics, and AI solutions.
- Strong experience with Microsoft Azure, Microsoft Copilot / copilots, and applied AI/ML or agentic AI solutions.
- Ability to work directly with business stakeholders, translate ambiguity into executable roadmaps, and independently deliver
- outcomes.
- Strong communication, consulting mindset, and ownership mentality.
- Strong experience in data extraction, transformation, reconciliation, and validation techniques.
- Strong interpersonal skills and demonstrated the ability to build professional relationships.
- Good Problem-solving skills with an innovative and proactive approach.
- Good communication, presentation, interpersonal, and leadership skills.
- Independent yet collaborative team contributor.
- Experience in cloud-native architectures, data product delivery, and working within global/matrixed organizations. Exposure to regulated industry environments and modern AI operations (MLOps/LLMOps) is advantageous.
