CEOX

• Assess current systems and define solution recommendations • Design end-to-end solution architecture aligned to business and technical requirements • Produce HLDs, architecture options, and technical recommendations • Evaluate build vs buy vs extend approaches • Ensure alignment to security, scalability, and performance standards • Work closely with business stakeholders, SMEs, and delivery teams • Provide architecture governance and support across delivery

• Build and maintain ETL pipelines and code in cloud data platforms. • Support ingestion activity and onboarding of new data sources. • Work with the Databricks Data Intelligence Platform and develop Data Engineering workloads. • Construct raw, refined and curated data layers; catalogue assets appropriately. • Validate solutions against functional and non-functional requirements. • Deliver datasets , transformations and performance-optimised data products. • Improve processes, engineering patterns, and reusable tooling. • Monitor and measure pipeline performance; support incident resolution. • Ensure documentation meets acceptance standards and is approved centrally. • Actively engage in Agile ceremonies and governance forums.

• Lead delivery of data-driven projects (Databricks-based environments) • Champion Agile and Lean practices, promoting continuous improvement and Inspect & Adapt principles • Manage cross-team dependencies, risks, and issues to maintain delivery momentum • Ensure appropriate governance, quality management, and value for money • Build strong relationships with stakeholders, reporting clearly and setting expectations • Collaborate with Product Managers, Data Engineers, QA, BA, Architecture, Platform, and supplier teams • Guide teams through delivery lifecycle phases and support process optimisation • Contribute to the Delivery Management Community of Practice