Enterprise Architect

CV-Library
Northampton, Northamptonshire
12 months ago
Applications closed

Related Jobs

View all jobs

Data Architect

The Associates Global Chaucer, London, United Kingdom
£85,000 – £90,000 pa Hybrid

Data Architect

Experis Croydon, London, United Kingdom
£700 – £750 pd Hybrid Clearance Required

Data Architect (we have office locations in Cambridge, Leeds and London)

Genomics England London, United Kingdom
On-site

AI & Data Archiect

Experis United Kingdom
£80,000 – £120,000 pa

Chief Digital, Data & Technology Officer

SHEER JOBS LIMITED Woking, Surrey, United Kingdom
£950 – £1,000 pd

IT Vendor and Integration Lead

Dabster Systems UK Limited Dublin, City Of Dublin, Ireland
Contract
Posted
20 May 2025 (12 months ago)

Enterprise Architect is required by well established and highly successful organisation.

Purpose and impact:

  • To work with business and technology teams to drive the right strategic technology decisions for the organisation. To ensure their use of technology is proportionate and fit for purpose.

  • To help the formation of the IT Roadmap as part of their Strategy & Architecture team, and to help align the technology strategy to business strategy, in consultation with the service owners.

  • To create models of business architecture, data architecture, and information systems architecture wherever necessary to support Enterprise Architecture & technology goals.

  • To ensure the proper governance of new technology introduced into the estate, and the application of best practice to architectural decisions.

    Accountable to: The role is accountable to the Head of IT Strategy & Architecture.

    Responsibilities:

  • Consult with stakeholders in the business, including up to Director level. Work to understand business roadmaps and collaborate with the rest of the Architecture team on the alignment of the IT roadmap with those business roadmaps.

  • Produce Enterprise Architecture artefacts as required to model/document an area of the business and the systems that support it. E.g., Business Capability maps, Data models, Systems diagrams.

  • Take a broad, organisation wide view of technology and business needs, balancing the concerns of disparate stakeholders, and guiding strategic decisions around technology and the application in accordance with what is best for the whole organisation.

  • Contribute to and help maintain the Enterprise repository of information. E.g., systems landscape maps, enterprise data models, enterprise applications catalogue (LeanIX).

  • Collaborate with other Architects to help Enterprise Architecture and Solutions Architecture practices work seamlessly together, as far as possible.

  • Ensure that Solution Architects have sufficient information and support, in terms of briefings, handovers, guidance and check ins, to support the end-to-end Architectural lifecycle.

  • Contribute to, and help enforce, governance. Aid in the production of Architecture Principles, Policies & Rules/Standards.

  • Help foster an open, positive culture within the wider technology department, working with all IT colleagues to explore new ideas and ways of working.

  • Mentor and help grow junior Architects within the team.

  • To maximise personal productivity, minimise duplication and errors; and manage our information efficiently and securely to reduce risk, though effective use of Office 365 and our internal IT systems and applications.

    A great opportunity to make a real impact and shape the way Enterprise Architecture is delivered across the organisation.

    Basic salary £63-66,500

    Based Northampton

    Hybrid working with 2 days per week in the office

Industry Insights

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

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.