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Head of Artificial Intelligence

Responsibilities Strategic Leadership & Vision Define AI Roadmap: Craft a comprehensive enterprise-wide AI strategy and vision that aligns with the company's long-term objectives. Identify Opportunities: Partner with C-level executives to identify high-impact use cases where AI can solve business problems or create new revenue streams. Business Alignment: Ensure all AI initiatives deliver measurable value, defining key performance indicators (KPIs) to track success. Team Management & Development

Morgan McKinley - Hong Kong - Full time

Salary: Competitive

Responsibilities
  • Strategic Leadership & Vision
    • Define AI Roadmap: Craft a comprehensive enterprise-wide AI strategy and vision that aligns with the company's long-term objectives.
    • Identify Opportunities: Partner with C-level executives to identify high-impact use cases where AI can solve business problems or create new revenue streams.
    • Business Alignment: Ensure all AI initiatives deliver measurable value, defining key performance indicators (KPIs) to track success.
  • Team Management & Development
    • Build High-Performing Teams: Recruit and manage cross-functional teams, including data scientists, machine learning engineers, and researchers.
    • Mentorship: Provide technical leadership and professional guidance to team members, fostering a culture of continuous learning and innovation.
    • Cross-Functional Collaboration: Coordinate with IT, product, and engineering teams to integrate AI solutions into existing workflows and products.
  • Technical Oversight & Innovation
    • Oversee Development: Lead the design, prototyping, and deployment of advanced AI/ML models (e.g., NLP, Generative AI, Computer Vision).
    • Technology Selection: Evaluate and select appropriate AI platforms, vendors, and large language models (LLMs) for organizational use.
    • Standardization: Establish MLOps standards, model lifecycle practices, and quality assurance processes for production environments.
  • Governance, Ethics & Risk Management
    • Ethical AI: Oversee the design of policies for safe and responsible AI use, addressing issues like bias, fairness, and transparency.
    • Regulatory Compliance: Ensure all AI activities adhere to data protection regulations (e.g., GDPR, CCPA) and industry-specific standards.
    • Risk Mitigation: Manage the legal, operational, and security risks associated with deploying AI at scale.
  • Advocacy & External Representation
    • Thought Leadership: Act as the company's ambassador in the AI community and represent the organization at industry conferences.
    • Literacy Programs: Drive "AI literacy" across the organization, educating non-technical stakeholders on the capabilities and limitations of AI.
    • Partnership Management: Build strategic partnerships with academic institutions, research organizations, and technology vendors.
    Requirements
    • Bachelor's degree holder
    • At least 20 years of solid experience gained from large companies with a strong focus on AI and data
    • Fluent Chinese and English


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