Head of AI

Candidate Description

Driving enterprise AI transformation across automotive, financial services, regulatory technology and government, the candidate brings 19+ years of experience spanning analytics, data science and technology delivery. They currently serve as inaugural Head of AI at an automotive parts company, partnering with the CTO and CIO to shape enterprise strategy and scale generative and agentic AI. Their expertise combines enterprise AI architecture, multimodal document intelligence, predictive modelling and operational transformation. Earlier experience includes a regulatory technology company, a financial services company, a government department, a credit reporting company, major banks and an automotive manufacturer. As founder of a document technology venture and creator of the JURISTAB legal research and workflow platform, they also bring entrepreneurial experience across product ownership, architecture and pricing. An Executive MBA from a university's business school complements an engineering qualification and strong commercial and analytical capabilities.

Their technical leadership connects cloud-native AI engineering with measurable commercial outcomes. They work across Azure, AWS and Google Cloud, with capabilities spanning Python, SQL, Apache Spark, Airflow, Snowflake, Kubernetes, CI/CD, NLP, RAG and LLM integration. At an automotive parts company, they delivered AskAutoAI using LangGraph, FastAPI and Azure Container Apps, with a projected 30%+ reduction in call-centre handling time. They also established reusable platform components that reduced new use-case time-to-production by 50%+ and delivered an XGBoost-based parts cross-referencing engine targeting multi-million-dollar annual revenue recovery. At a regulatory technology company, they led multimodal document processing that reduced manual work and engineering effort by 60%+, improved model accuracy by up to 35%, and negotiated $500K in annual cloud savings. Their delivery approach combines SAFe-aligned planning, model-risk controls, data governance, API architecture and disciplined financial oversight.

A capability builder and commercially accountable leader, they have established an AI Centre of Excellence, designed federated operating models and led multidisciplinary teams across data science, machine learning and MLOps. Their 5C AI Governance Framework became the automotive parts company's APAC standard for Responsible AI, supported by production assessments against ISO/IEC 42001 and Australian Privacy Act expectations. They engage executive leadership on investment decisions, benefits realisation, strategic partnerships and enterprise adoption. At a regulatory technology company, they managed a $10M portfolio and developed an 11-person team across two squads while supporting enterprise pursuits of up to $20M. Their adaptability spans regulated banking, public-sector sentiment analysis, automotive inventory optimisation and enterprise document intelligence. They offer employers a combination of strategic AI leadership, hands-on architectural depth and the organisational change capability needed to turn experimentation into sustainable business value.