About the candidate
Key Achievements:
• Scaled a data engineering team from 12 to over 110, restructuring workflows to support hyper-growth.
• Delivered a multi-million-dollar strategic plan, driving a 25% YoY increase in staff and operational efficiency.
• Established a unified data architecture that increased analytics productivity by 25% and boosted business-wide decision-making.
• Led the adoption of modern data transformation techniques, improving pipeline performance by ~40% and achieving 100% test coverage.
Looking For…
An opportunity to drive meaningful impact within an ambitious organisation that values data as a strategic asset. With a strong focus on AI integration, operational maturity, and team leadership, they are keen to contribute their expertise in transforming data operations into a key driver of business success.
What makes them great?
This individual brings a wealth of experience in leading large-scale data initiatives within high-growth environments.
Their ability to align data engineering strategies with wider business objectives has led to a track record of success in improving operational efficiency, reducing costs, and driving innovation.
Their expertise in AI-powered solutions has supported the development of recommendation engines, risk management systems, and automation tools, delivering tangible business value.
Areas of expertise
• Strategic Data Leadership – Extensive experience in defining and executing multi-year data strategies to drive operational efficiency, cost optimisation, and business alignment.
• Team Growth & Development – Successfully scaled data teams from small, local units to large, multi-national, cross-functional groups, fostering collaboration and high performance.
• Data Architecture & Engineering – Expertise in designing robust data models, streamlining ingestion pipelines, and implementing modern transformation frameworks.
• AI & Machine Learning Applications – Experience integrating large language models (LLMs), real-time fraud metrics, and recommendation engines to enhance decision-making and user experience.
• Operational Efficiency & Governance – Developed best-in-class frameworks for data governance, incident management, and compliance, leading to increased productivity and risk reduction.