Lead the data strategy for the design, development, and delivery of data‑driven software solutions.
Provide architectural leadership on the adoption and implementation of data‑centric system design. Define and maintain a central enterprise data ontology to support consistent, scalable data practices across products.
Oversee architectural approaches to data ingestion, migration, integration, laking, modelling, and reporting.
Design data solutions that comply with regulatory and contractual obligations including retention, anonymisation, segregation, lineage, and data security.
Establish development frameworks and standards for data engineering, modelling, metadata, and data quality.
Ensure solutions are scalable, resilient, and aligned to long‑term business and technical strategy.
Architect the data platform required to support application microservices and SaaS product needs.
Lead the strategy and delivery of data warehousing and analytical platform capabilities.
Drive research and evaluation of emerging data technologies aligned with our technical roadmap.
Provide oversight and guidance to data engineering and BI teams, ensuring best‑practice approaches.
Design and implement processes for BI and analytics delivery—including test‑driven reporting development and automated data pipelines.
Identify intelligence and reporting needs across the business, working with BI teams to translate requirements into scalable solutions.
Ensure the timely and accurate provision of reporting and dashboards for clients and internal stakeholders.
Report on the performance and effectiveness of the BI function to senior management.
Lead cross‑functional collaboration with product, engineering, architecture, and data teams to ensure data solutions support business objectives.
Represent the data function at senior management level.
Mentor and supervise BI and data professionals, promoting continuous development and high‑quality standards.
Requirements
Strong leadership experience and ability to act as a role model for technical and professional standards.
Experience designing data‑centric system architectures including ontologies, modelling, and platform strategy.
Hands‑on expertise with SQL, NoSQL, and Graph database technologies.
Experience delivering cloud‑first data solutions using Azure or AWS.
Strong analytical and problem‑solving skills
Excellent communication skills—clear, concise, and confident at senior levels
Experience mentoring or supervising BI/data professionals.
Deep understanding of data governance, quality, integration, and regulatory compliance.