Industry

Experience

  1. Pearson (Faethm AI)

    Melbourne, VIC

    Head of Data Science & AI

    August 2025 – April 2026

    Led the Data Science & AI function, managing a multidisciplinary team of 18+ across Data Science, AI Engineering, Ontology, and Data Platforms, delivering workforce intelligence products used by enterprise and government clients globally.

    Key Responsibilities

    • Defined and executed annual Data Science & AI strategies and quarterly OKRs, aligning product, engineering, and commercial priorities to deliver occupation, skills, task, and technology intelligence capabilities across APIs, DaaS, and SaaS platforms.
    • Built and led a high-performing team of 18+ Data Scientists, AI Engineers, Ontologists, and platform specialists, achieving one of the highest Gallup engagement scores across Pearson (4.5+/5.0) while successfully navigating a major organisational transformation.
    • Led development and governance of workforce ontologies covering 1,400+ occupations, 8,000+ skills, and 20,000+ tasks, forming the foundation of workforce intelligence products and APIs used by enterprise and government clients globally.
    • Led development of large-scale AI and analytics systems built on 100M+ job advertisements annually and 600M+ historical job records, enabling workforce planning, skills intelligence, and labour-market analytics across AU, CA, UK, and US.
    • Established organisation-wide standards for model verification, validation, evaluation, monitoring, and deployment across machine learning, predictive analytics, and generative AI initiatives.

    Awards & Recognition

    • Connector AwardWinnerPeer-nominated2025Recognised for bringing people, ideas and functions together, breaking down silos, enabling smoother delivery and helping teams achieve more together.
    • Walking Wiki AwardHonourable MentionPeer-nominated2025Recognised as a trusted source of knowledge who generously shares expertise, helps unblock others and raises the performance of the wider team.
    • Path-Finder AwardHonourable MentionPeer-nominated2025Recognised for bringing clarity to complex problems, navigating ambiguity and helping teams move forward with confidence.
    • Most Kudos Given to Team Members2025Recognised for giving the most Kudos across the team and consistently celebrating colleagues’ contributions, achievements and impact.

  2. Pearson (Faethm AI)

    Melbourne, VIC

    Senior Manager, Data Science & Lead Data Scientist

    August 2023 – August 2025

    Managed a team of 8+ Data Scientists and AI Engineers responsible for developing workforce intelligence models, ontology systems, APIs, and analytics products. Grew the team by over 50%, establishing standards for model development, evaluation, deployment, and stakeholder engagement.

    Key Responsibilities

    • Designed and delivered machine learning and AI models for occupation mapping, skills extraction, skill proficiency estimation, and task intelligence, transforming 100M+ annual job advertisements into workforce insights.
    • Developed large-scale analytics pipelines processing hundreds of millions of historical job advertisements, enabling identification of emerging skills, workforce trends, and career pathways across global labour markets.

    Projects

    • Occupation Taxonomy 4.0

      Led design and release combining Generative AI, NLP, machine learning, and ontology engineering to expand workforce coverage from 1,400 to 2,400+ occupations, improving occupation mapping, workforce intelligence, and labour-market analysis.

    • Task Taxonomy 2.0

      Directed development leveraging Generative AI and AI agents to standardise 20,000+ workforce tasks and model millions of occupation–task relationships, establishing the Task Activity framework for granular workforce analysis and career pathway modelling.

    • Workforce Intelligence APIs

      Led development and productionisation of 30+ workforce intelligence APIs covering occupations, skills, tasks, technology impact, workforce trends, and career intelligence, enabling scalable delivery across products, partners, and enterprise clients.

    • ML & AI Models for Workforce Intelligence

      Designed and delivered machine learning and AI models for occupation mapping, skills extraction, skill proficiency estimation, and task intelligence, transforming 100M+ annual job advertisements into workforce insights.

    Awards & Recognition

    • Going the Extra Mile AwardWinnerPeer-nominated2024Recognised for consistently supporting colleagues and teams beyond role expectations.
    • Team Spirit AwardWinnerPeer-nominated2023Recognised for exceptional collaboration, mentorship, and positive team impact.

  3. Pearson (Faethm AI)

    Melbourne, VIC

    Senior Data Scientist

    May 2022 – July 2023

    Designed and developed AI and data science systems for workforce intelligence, including skills frameworks, predictive models, large-scale analytics pipelines, and interactive visualisation applications.

    Key Responsibilities

    • Developed and productionised Data Science and AI models for skill–skill relationships, skill–occupation relationships, occupation similarity, workforce transitions, skill demand forecasting, and emerging skill identification.
    • Developed workforce intelligence models, occupation taxonomies, skills ontologies, and labour-market analytics systems using 100M+ job advertisements annually.

    Projects

    • Skill Area Framework

      Designed using NLP, machine learning, and human-in-the-loop validation, standardising 8,000+ skills and aligning them to international standards including ISCED, ESCO, O*NET, CIP, and HeCoS, enabling global workforce intelligence and cross-framework interoperability.

    • Interactive Workforce Intelligence Applications

      Designed and developed applications in D3.js, including Career Pathways, Role Explorer, Skills Network, Compensation Explorer, and Occupation Explorer, enabling exploration of career mobility, skill demand, and workforce trends through visual analytics.

    • Skill Analytics Pipeline

      Established automated end-to-end ETL, model execution, and monthly data release pipeline, significantly improving scalability and consistency of workforce intelligence delivery.

    Awards & Recognition

    • People's Choice Team AwardWinner2023Hackathon team award.
    • People's Choice Team AwardWinner2022Hackathon team award.
    • Greatest Demo AwardWinner2022Hackathon individual award.

  4. Pearson

    Melbourne, VIC

    Lead Data Science Delivery, Virtual Learning

    February 2020 – April 2022

    Led Pearson's Data Science academic delivery team within the University Partnerships program, overseeing teaching teams and delivery operations for the Master of Data Science program at the University of Adelaide.

    Key Responsibilities

    • Designed and delivered Data Science, AI, Machine Learning, Programming, and Analytics curricula across postgraduate and undergraduate programs, including supporting non-technical disciplines such as Psychology.
    • Developed lecturer capability frameworks, training programs, and delivery standards, collaborating with Student Success and Academic stakeholders to improve student experience and program outcomes.
    • Achieved 100% personal student satisfaction across 15 courses while maintaining 80%+ satisfaction across the broader teaching team.

  5. Department of Health & Human Services, Victoria

    Melbourne, VIC

    Data Scientist (Project Lead)

    November 2018 – May 2019

    Led development of machine learning and visual analytics solutions for large-scale time-series anomaly detection. Delivered systems supporting near real-time monitoring and early detection of critical anomalies in public sector data, collaborating with technical and business stakeholders to translate complex analytical requirements into scalable, production-ready solutions.

  6. University of Adelaide, RMIT & Monash University

    Australia

    Course Coordinator, Lecturer & Lead Academic Facilitator, Data Science

    July 2018 – June 2022

    Key Responsibilities

    • Led the design, development, and delivery of university-level Data Science and AI programs across undergraduate, postgraduate, and professional education, ensuring academic quality, learner outcomes, and industry relevance.
    • Delivered 30+ courses across Data Science, AI, Business Analytics, and Programming, including Python, R, Julia, Machine Learning, Statistics, Applied Data Science, Big Data Analytics, Data Engineering, Data Wrangling, Data Visualisation, Decision Science, Research Methods, Human Factors & Ethics, and industry-based Data Science Capstone projects.
    • Managed teaching teams and delivery operations, establishing scalable learning frameworks that supported thousands of learners and consistently achieved strong student satisfaction outcomes.
    • Partnered with Student Success, Academic, and University stakeholders to enhance learner engagement, retention, and academic outcomes, helping grow the University of Adelaide's Master of Data Science (online) program enrolments by more than 100% within two years.

    Awards & Recognition

    • Top Five Courses by OSIWinner2022School of Science, RMIT University.
    • Star Facilitator AwardWinner2021RMIT University.
    • Rising Star Facilitator AwardWinner2020RMIT University.
    • Best Teaching Award NominationNomination2021 | 2020 | 2019Monash University.

  7. RMIT University & University of Tasmania

    Melbourne, VIC

    Data Science Researcher

    2014 – 2019

    Research roles in data science, information visualisation, and visual analytics. Contributed to academic research projects and peer-reviewed publications across data science and AI.

  8. Vision Computing Lab, Sichuan University

    Chengdu, China

    Team Lead, Data Visualisation

    2011 – 2014

    Led a data visualisation team, overseeing design and development of visualisation systems and applications.

  9. Various

    Software Engineering, Product Management & Publishing

    2010 – 2012

    Earlier career roles spanning software engineering, product management, and publishing.