I’m partnering with a fast-growing FinTech business looking to appoint a Head of Data & AI to lead and develop its Data & AI capability.
This is a senior leadership position with responsibility for a team of 12 across Data Engineering, Data Science, Machine Learning and Analytics. The successful candidate will own the Data & AI strategy and play a key role in how the organisation uses data, ML and Generative AI to drive growth, improve customer experiences and automate decision-making.
The Company
Our client is an ambitious, technology-led FinTech operating in a highly data-driven environment. The business is investing significantly in its Data & AI capability and sees data, machine learning and AI as fundamental to its next phase of growth.
The Role
- Lead and develop a multidisciplinary Data & AI team of approximately 12 people.
- Own and deliver the organisation's Data & AI strategy and roadmap.
- Work closely with the C-suite to identify where Data & AI can create the greatest commercial impact.
- Lead the development of scalable data platforms, products and capabilities.
- Drive the adoption of AI, Generative AI and machine learning across the organisation.
- Establish best practice across Data Engineering, Data Science, ML and Analytics.
- Identify opportunities to automate processes and improve customer and operational decision-making.
- Build a strong data culture and increase the use of data across Product, Technology, Risk and Commercial teams.
- Own the recruitment, development and structure of the Data & AI function as the business scales.
- Ensure appropriate standards around data quality, governance, security, model risk and responsible AI.
Tech Skills
- Strong experience leading Data, AI, Data Science or Machine Learning teams.
- Excellent knowledge of modern cloud data platforms, ideally AWS, Azure or GCP.
- Strong understanding of Data Engineering architecture and modern data pipelines.
- Experience with platforms such as Snowflake, Databricks, BigQuery or equivalent.
- Strong understanding of Python and SQL environments.
- Experience delivering Machine Learning models into production.
- Knowledge of Generative AI, LLMs, RAG and emerging AI technologies.
- Understanding of MLOps, model deployment, monitoring and lifecycle management.
- Experience with modern BI and analytics platforms such as Power BI, Tableau or Looker.
- Strong understanding of data governance, security, privacy and responsible AI within a regulated environment