Head of Data & AI


Singapore
Permanent
SGD180000 - SGD180000
Investment Management
PR/569350_1774230408
Head of Data & AI

Key Responsibilities

Strategy & Execution

  • Define and lead the organization's AI strategy, aligned with business priorities

  • Translate strategy into practical, deployable AI use cases with measurable impact

  • Remain hands-on in solution design, architecture, and key technical decisions

AI / GenAI Development

  • Actively contribute to the development of AI/ML and GenAI solutions (e.g., LLMs, RAG, agent frameworks)

  • Review code, guide model development, and ensure best practices in implementation

  • Lead prototyping and rapid experimentation for new AI initiatives


Platform & Infrastructure Ownership

  • Architect and oversee scalable AI platforms (data pipelines, model lifecycle, MLOps)

  • Work closely with data engineering teams to ensure robust, production-grade systems

  • Evaluate and implement modern tools across cloud and AI ecosystems

Team Leadership

  • Build and mentor a high-performing AI team while staying actively involved in delivery

  • Set technical standards and foster a strong engineering culture

  • Balance delegation with direct contribution on critical initiatives

Stakeholder Engagement

  • Partner closely with business leaders to identify and prioritize AI opportunities

  • Translate complex technical concepts into clear business value

  • Drive adoption of AI solutions across the organization

Governance & Best Practices

  • Establish frameworks for model governance, monitoring, and ethical AI

  • Ensure solutions meet security, compliance, and data privacy requirements

Requirements

Experience

  • 10-15+ years in AI, machine learning, or data engineering

  • Proven experience leading teams while remaining hands-on in technical delivery

  • Track record of building and deploying AI solutions in production environments

Technical Expertise

  • Strong hands-on experience with:

    • Machine learning and deep learning

    • GenAI (LLMs, RAG, agent-based systems)

    • Python and modern ML frameworks

  • Experience with cloud platforms (AWS, Azure, or GCP) and scalable architectures

  • Strong understanding of MLOps and data engineering concepts

Leadership

  • Comfortable switching between strategy and execution

  • Strong ownership and problem-solving mindset

  • Ability to thrive in a fast-paced, evolving environment

Why Join

  • Opportunity to build and shape AI capabilities from the ground up

  • High-impact role with visibility across senior leadership

  • Balance of technical depth and strategic influence

FAQs

Congratulations, we understand that taking the time to apply is a big step. When you apply, your details go directly to the consultant who is sourcing talent. Due to demand, we may not get back to all applicants that have applied. However, we always keep your CV and details on file so when we see similar roles or see skillsets that drive growth in organisations, we will always reach out to discuss opportunities.

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That's why we recommend registering your CV so you can be considered for roles that have yet to be created. 

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