strong, proactive security culture across the teams. Ensure security controls are consistently applied across the full data workflow, including data normalisation, ingestion, enrichment, visualisation and any AI/ML enabled processing, with appropriate consideration of data handling, model governance, access control and deployment packaging. 6. Technical Risk, Debt & Performance Oversight. … depending on client, security, operational or environment specific requirements. Maintain coherence across Python services, emerging microservice components, data pipelines, AI/ML capabilities and visualisation layers. 9. Client & Stakeholder Engagement. Act as the senior technical representative for the Service, delivering clear and authoritative client presentations and governance briefings. Build trusted ...