Lead Associate - Data Architect

Key Responsibilities

• 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.

Skills, Knowledge and Expertise

• 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.