2 of 2 Remote Architecture Governance Jobs in Central London

offering serving an international client base from a multi office footprint. They are currently looking to appoint a talented technology Architect who would take a lead on the technical architecture strategy and guide the platform engineering capabilities across the organization, ensuring technology foundations support business growth and operational excellence. Establish their first enterprise architecture function to provide strategic … technology leadership for a Microsoft-centric, Azure-native estate. This is a greenfield opportunity to define architecture strategy, governance frameworks, and drive transformation. Define data architecture strategy for disparate legacy systems across numerous business lines. Maximise 200k+ annual Microsoft E5 licensing investment. Design CSS portal multi-tenancy architecture enabling US enterprise expansion. Establish architecture governance appropriate for scale. Optimise Azure spend and modernise infrastructure. The Person: Candidates should ideally be degree qualified, with proven Enterprise Architecture experience in a financial services, professional services or technology services environment. Demonstrable experience in establishing architecture governance in mid-sized organisations. Architecture strategies, standards, and roadmaps experience. Regulated environment understanding (FCA, compliance etc.). More ❯

drive the next stage of its transformation journey. This executive-level role will define the bank’s data and AI vision, setting the direction for enterprise-wide data strategy, governance, and AI adoption. You’ll influence strategy at Board level while leading a small, expert team that works across digital, transformation, and technology functions to strengthen data culture, governance … Key Responsibilities Define and execute the organisation’s AI and enterprise data strategy, aligning it to strategic, regulatory, and operational objectives Set the vision and standards for enterprise data architecture, enabling scalable analytics, automation, and innovation Lead adoption of artificial intelligence and machine-learning capabilities — including emerging generative and agentic AI applications — to enhance resilience, efficiency, and customer outcomes … Establish a responsible and ethical AI framework, ensuring transparency, fairness, governance, and regulatory compliance Partner with technology, digital, and transformation leaders to ensure data is accessible and actionable across the business, promoting greater self-service, data democratisation, and data literacy Shape the data and AI operating model to ensure capability, accountability, and ownership are embedded across business and technology More ❯