Enterprise Architect -Data Analytics

H M Revenue & Customs (HMRC)
Edinburgh
6 months ago
Applications closed

Related Jobs

View all jobs

Data & AI Solution Architect, Azure, Remote

Head of Data Science and Architecture

Microsoft Data Solution Architect

Senior Machine Learning Architect

Technical Intern

Technical Intern

Overall reward annually is £72,666 which is an annual salary base

of£56,344+£16,322 Pension Contribution + 2 days working from home.

+ Flexitime + Flexi-hours + 25 days holiday + Upskilling +

Course Access + Discount Schemes + More.

Are you a broad minded, horizon scanning, data analytic focused Enterprise Architect?

Are you looking for a new challenging and highly influential Data Analytics Architect role?

With knowledge ofoneof either:-

  • Data Lifecycle, Standards & Tools.
  • Cloud native Data analytics services.
  • Data transformation and metadata management tools (e.g. Talend, informatica etc.).
  • Analytical data exploitation tools (e.g. SAS, PowerBI, Pentaho).
  • Artificial Intelligence(AI)capabilities to enable Customer Insights & Segmentation, Behavioural analytics.

Then this may be your next move!

About HMRC

Discover a career in your hands at HMRC. Whether you're seeking purpose, growth, or a workplace that gives you a true sense of belonging, hear from some of our employees as they share their story about what its really like to work at HMRC.

Visit ourYouTube channelto watch the full series and come and discover your potential.

Data and Analytics is at the heart of everything we do at HMRC.

About our Team

Working in the Data Analytics Platform team you will play a key role in developing HMRCs Enterprise Analytic platform strategy. Championing the adoption of modern technology, whilst pushing HMRCs hugely complex IT estate towards a smaller set of strategic systems.

You will also be responsible for ensuring alignment with business strategies and requirements, managing and influencing senior stakeholders both within HMRC and wider UK government.

Job Description

The role is also plays a major part in supporting HMRCs IT governance process. As a subject matter expert, you will offer advice and guidance to solution architects to ensure designs conform to HMRCs IT strategy.

Taking a strategic view across all architectural domains, portfolios and programmes you to guide the organisation to make accurate technology decisions, promoting reuse, sustainability and scalability to achieve value for money.

As part of the Enterprise Architecture team you will engage at a strategic level, influencing policy, and setting direction for technical and business change. You will also play a key role in ensuring that HMRC develops and maintains a strong IT Architecture capability.

Essential Criteria

As a member of the EA Team responsible for the Enterprise Analytics Platform you will be specifically responsible for the strategy and architecture of:

Enterprise reporting, analytics, AI/ML end user tooling including technology roadmaps and product selection. Data pipelines including data acquisition, ingestion, transformation, quality and matching. Data storage including technology roadmaps, product selection and compliance.

You will need to demonstrate within your application the following essential skills and experience

  • A broad IT and Enterprise Architecture (EA) background, with experience in architecting enterprise scale applications or architecture roles where you will have gained experience of large-scale data platform deployments.
  • The ability to develop, detail and establish architectural principles, policies, standards, roadmaps and reference architectures
  • Ability to carry out horizon scanning across industry, identifying advances in technology, emerging trends and their potential impact on the organisation.
  • The ability to simplify complex and technical information by using appropriate and accessible language for non-technical audiences.
  • Capable of guiding the decision-making process, explaining trade-offs and making a recommendation based on all the available information.
  • The ability to look beyond the immediate problem and identify the wider implications across the enterprise.

Desirable Criteria

The following skills and experience are desirable:

  • Understand and contribute to discussions about commercial contracts, procurement and sourcing strategies.
  • Experience of designing data platforms systems for operational and analytical systems including Machine learning and Artificial Intelligence.
  • Either have or want to work to achieve professional IT Qualifications such asTOGAF or CITP.

Technical Skills

We'll assess you against your demonstrable knowledge and

experience ofoneof the following areas:

  • Data Lifecycle, Standards & Tools
  • Cloud native Data analytics services.
  • Data transformation and metadata management tools (e.g. Talend, informatica etc.)
  • Analytical data exploitation tools (e.g. SAS, PowerBI, Pentaho).
  • Artificial Intelligence (AI) capabilities to enable Customer Insights & Segmentation, Behavioural analytics

To learn more on how to apply, click apply before 11:55pm Friday 15th November 2024


Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.