Kane Li

Biography

Data Science and AI leader with 15+ years of experience building high-performing teams and delivering enterprise-scale data products, machine learning systems and analytics platforms across industry, government and academia. Most recently Head of Data Science & AI at Pearson, leading global multidisciplinary teams to develop production-grade AI systems and workforce intelligence products used across international markets. Combines deep technical expertise with strategic leadership to translate complex business challenges into trusted, scalable solutions and measurable impact.

Key Skills & Expertise

• Leadership & Strategy: Data Science Leadership, Data Strategy & Roadmap, AI Strategy, Cross-functional Leadership (Product, Engineering, Commercial), Stakeholder Engagement, Team Building & Scaling, Operating Model & Governance
• Data Science & Advanced Analytics: Statistical Modelling, Predictive Modelling, Data Visualisation, Decision Science, Model Evaluation & Validation, Machine Learning, Deep Learning, Natural Language Processing (NLP)
• Applied AI (LLMs): Generative AI, Prompt Engineering, Agentic AI, Retrieval-Augmented Generation (RAG), AI Systems
• Data Platform & Engineering: Large-scale Data Platforms, Data Pipelines (ETL/ELT), Data Management, Knowledge Graphs, Data-as-a-Service (DaaS), Software-as-a-Service (SaaS)
• Programming & Tools: Python, SQL, R, JavaScript, AWS, Azure, Databricks, OpenAI / LLM APIs, PostgreSQL, MongoDB, PySpark, REST APIs, D3.js, Tableau, Vega-Lite

Education

• PhD, Computer Science (Data Science)RMIT University
• Master of Engineering, Computer TechnologySichuan University
• Bachelor of Engineering, Software EngineeringSichuan University