Lead AI and Data Engineering

Candidate Description

A results-driven Lead AI and Data Engineering professional with over 20 years of experience spanning consulting, government, higher education, banking, financial services, media, logistics and energy sectors. They possess deep expertise across the Microsoft, AWS and Google cloud ecosystems, architecting full-stack AI applications, data-platform solutions and large-scale analytics initiatives. Known for translating strategic priorities into secure solution architectures and measurable outcomes, they consistently engage C-suite stakeholders to optimise total cost of ownership and maximise return on investment.

Their technical acumen is demonstrated through successful delivery of AI agents, data meshes and real-time predictive platforms for organizations such as a Major Academic Institution, a Major Development Project, a Financial Institution and a Major Bank. Adept at Generative AI, Microsoft Fabric, Databricks and MLOps, they build production-ready pipelines, implement Responsible AI governance and leverage CI/CD, Azure DevOps and Kubernetes to ensure scalable, resilient solutions. Key achievements include architecting an AI Student Assistant on Copilot Studio, delivering a settlement-failure prediction platform on AWS and engineering a marketing data-mesh with GCP Vertex AI and Gemini.

Combining strategic leadership with hands-on engineering, this professional mentors multidisciplinary teams, standardises engineering practices and drives agile delivery. Their adaptability across diverse domains and cloud environments, coupled with a strong commitment to security, privacy and compliance, positions them as a valuable asset for organizations seeking to leverage AI and data to achieve transformative business outcomes.