- Lead next-generation AI knowledge graph platform
- High-impact role shaping enterprise AI capabilities
Our client is a large organization operating within the financial services sector. They are focused on leveraging advanced technology to deliver innovative solutions and drive business growth. Located in Kowloon, the company is known for fostering a culture of excellence and innovation.
Job Description
- Define product strategy and roadmap for an AI-driven Knowledge Graph platform
- Lead development of automated pipelines converting unstructured data into graph entities
- Partner with AI Product Lead, usability and business stakeholders on product direction
- Translate business needs into clear features and actionable user stories
- Drive feature prioritisation to maximise business value and reduce time to impact
- Facilitate Agile ceremonies including planning, stand-ups and retrospectives
- Act as bridge between business users, AI engineers, data scientists and developers
- Embed AI and model governance requirements into product and technical roadmap
- Define guardrails to manage AI risks including hallucinations, privacy and data quality
- Ensure knowledge graph quality through validation, versioning and auditability
- Proven experience in technical product management for AI, ML or data platforms
- Strong understanding of SDLC, Agile delivery and prioritisation frameworks
- Hands-on experience running Jira, Confluence and Agile team ceremonies
- Ability to communicate complex AI concepts to non-technical stakeholders
- Knowledge of LLMs, RAG or GraphRAG architectures
- Experience with Knowledge Graph technologies or semantic data models preferred
- Familiarity with agentic AI frameworks for document ingestion and analysis
- Strong focus on quality, governance and stakeholder trust
- Competitive monthly salary and benefits package.
- Be part of a forward-thinking team in the financial services sector.
- Access to cutting-edge technology and tools in the industry.
- Work in a convenient Kowloon location.
Job ID JN-062026-7029207
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