About the candidate
About the candidate
A highly experienced data leader with a strong background in data engineering, business intelligence, and cloud-based solutions. Currently leading data strategy and engineering teams within the retail sector, this candidate has a proven track record of designing scalable data architectures, optimising ETL/ELT pipelines, and implementing process improvements that drive tangible business impact.
With extensive experience in stakeholder engagement, project management, and cross-functional leadership, they have successfully driven data-led transformations across multiple industries, including retail, finance, legal services, and utilities. Their expertise spans Azure DevOps, Databricks, Power BI, and SQL, making them a versatile and strategic asset for any data-driven organisation.
What makes them great?
Areas of expertise:
• Led a team of 10 multi-disciplinary data professionals, delivering major IT system transformations and optimising data ingestion pipelines.
• Delivered £20M in cost savings through process automation and credit risk strategy improvements in the utilities sector.
• Established Power BI adoption and upskilled teams across a retail organisation, improving business-wide data literacy.
• Designed strategic data architectures to streamline reporting and analytics, supporting multiple business functions.
Looking for
This candidate is seeking a Head of Data role, where they can drive enterprise-level data strategy, implement best practices, and lead high-performing teams in a cloud-first environment.
Areas of expertise
What makes them great?
• Data Strategy & Governance – Proven ability to align data initiatives with business objectives, ensuring compliance, security, and efficiency.
• Cloud & Data Engineering – Expertise in Azure Data Factory, Databricks, SQL, NoSQL, Terraform, and CI/CD pipelines.
• Process Improvement – Six Sigma and Agile methodologies to optimise workflows, reduce costs, and enhance data quality.
• Leadership & Mentorship – Experience leading and developing teams, fostering a collaborative and high-performing data culture.
• BI & Analytics – Skilled in Power BI, SSIS/SSRS, and advanced SQL for data-driven decision-making.