Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Head of Enterprise Digital Architecture

Velocity Tech
London
10 months ago
Applications closed

Related Jobs

View all jobs

Head of Data Science, AI and Data Visualisation

Principal Data Scientist (UK)

Principal Data Scientist (UK)

Head of Data Science

Head of Forward-Deployed Engineering & Data Science

Head of Data Science

Velocity Tech has partnered with a leading organization in the Lloyd's market, recognized globally for its pioneering approach to insurance and its commitment to embracing innovation and digital transformation. This organization is driven by a mission to empower individuals and businesses to face the future with confidence, underpinned by cutting-edge technology, data, and AI capabilities.


With a strong focus on digital transformation, the company has achieved significant milestones, including:

  • Data Modernization:Developing a central, cloud-native data platform that unlocks maximum value from both internal and external data sources.
  • Digital Trading:Designing multi-class headless APIs to enhance global broker platform integrations and improve market efficiency.
  • Underwriting Transformation:Building modern platforms that enhance underwriting, pricing, and analytics capabilities with a focus on Python engineering and data ingestion.
  • AI-Driven Claims Innovation:Deploying proprietary machine learning algorithms to accelerate post-catastrophe property damage identification and enable virtual claims adjusting.


This role offers the opportunity to join a passionate, collaborative, and innovative Technology and Data team that values continuous learning, exploration, and best-in-class tools.


Role Overview:

The Head of Enterprise Digital Architecture will be responsible for shaping and executing the enterprise digital strategy, encompassing applications, integration, governance, and digital architecture. This is a critical leadership role that combines technical expertise, stakeholder engagement, and team mentorship to deliver impactful digital transformation initiatives.


Key Responsibilities:

  • Develop and oversee the enterprise digital strategy, covering portals, APIs, and underwriting technologies.
  • Lead and ensure that the digital architecture serves as a corporate resource for financial reporting, portfolio management, and operational efficiencies.
  • Manage and mentor enterprise and solution architects, promoting adherence to architectural principles and governance best practices.
  • Own the application of tools, techniques, and technologies to address complex business requirements.
  • Evaluate and present architectural options, providing clear insights into the pros and cons of each approach.
  • Serve as a subject matter expert for architectural and technical considerations across the organization.
  • Build strong relationships with functional domain leads and project teams, shaping problem statements and requirements collaboratively.
  • Facilitate agile model changes and provide input into resource planning.
  • Assess emerging technologies and provide guidance on their relevance and impact.


Candidate Profile:

The ideal candidate will bring a combination of leadership, technical expertise, and strategic vision. Experience in driving digital transformation within large-scale organizations, particularly those with legacy systems, will be highly valued.

Qualifications:

  • Proven leadership experience in enterprise and digital architecture roles.
  • Strong expertise in .NET, Python, and Azure technologies.
  • Deep understanding of patterns, standards, and best practices in architectural design.
  • Experience in transitioning legacy systems and working with large-scale applications.
  • Exceptional stakeholder management and team mentorship skills.


Interview Process:

  1. Stage 1:1-hour interview with key stakeholders
  2. Stage 2:45-minute

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.