Manager- Tech Transformation

KPMG
Cardiff
3 weeks ago
Applications closed

Related Jobs

View all jobs

Manager, Software Engineering & Machine Learning, Operations Risk Compliance (ORC) Science

Applications Manager

Product Manager – Smart Diagnostics & Digitalization

Product Manager – Digitalization

Product Manager – Digitalization

IT Manager

Job description

Technology Transformation Manager

Base Location:London, Leeds, Manchester or Birmingham plus network of 20 offices nationally:

The KPMG Technology Transformation practice is a cornerstone of our business. Operating from across or UK offices we do work that matters, serving the country with diligence and expertise.

KPMG is one of the world's largest and most respected consultancies. We've supported the UK through times of war and peace, prosperity and recession, political and regulatory upheaval. We've proudly stood beside the institutions and businesses which make the UK what it is.

By encompassing a breadth of areas we deliver collaborative team engagements, working together across these capabilities to help our clients get the best from their IT services, we become immersed in our clients' organisations, applying sector knowledge and technology solutions to deliver the best possible outcomes and get it right first time.

Why Join KPMG as a Technology Transformation Manager

We are growing our team to meet an increasing demand for our market leading services and are seeking your relevant expertise and experience to join us.

As a Manager within our Technology Transformation capability you bring a technology perspective to a broad range of client issues, demonstrating how technology can be used to address problems and realise opportunities.

What will you be doing?

 

Working with KPMG colleagues, client teams and with C Level client resources to:

Provide a true Advisory service to our clients in the development and delivery of IT operating models that enable clients to get the most from their technology organisation Champion how Tech Strategy & Transformation can help our clients deliver more effectively and achieve their digital and technology ambitions Provide credible advice to clients on how to operate IT in the most effective manner Collaborate across our other Connected Technology capabilities to improve and transform IT services for our clients Work with other teams across KPMG to provide support to clients as they undergo digital transformation Identify emerging trends in the market and develop products and services that KPMG can leverage within our client base Support the growth of our Tech Strategy & Transformation capability through developing and supporting our people

What will you need to do it?

As a Technology Transformation Manager, working in either a major Consultancy or with major Public or Private sector organisations , you will have Digital experience in at least two of the following:

 

 

Developing technology strategies in complex environments, with a focus on leveraging digital and emerging technologies IT operating model design and implementation IT cost optimisation and efficiency Digital transformation at scale, such as Business Models, Culture change, User Experience and Business practices Agile delivery methodologies, particularly at scale in large organisations

 

Skills we’d love to see/Amazing Extras:
 

Previous experience gained from within a major Consultancy A passion for emerging technology and driving business value around Digital technology areas such as Artificial Intelligence (AI), Platforms, Integration, Data, User Experience

To discuss this or wider Consulting roles with our recruitment team, all you need to do is apply, create a profile, upload your CV and begin to make your mark with KPMG.

Our Locations:

We are open to talk to Technology Transformation Consultants from across the country but our core hubs for this role are:

London Canary Wharf Leeds Manchester Birmingham

 

With 20 sites across the UK, we can potentially facilitate office work, working from home, flexible hours, and part-time options. If you have a need for flexibility, please register and discuss this with our team.

Find out more:

Within Consulting we have a range of divisions and specialisms. Click the links to find out more below:

Consulting at KPMG:ITs Her Future Women in Tech programme:KPMG Workability and Disability confidence:

For any additional support in applying, please click the links to find out more:

Applying to KPMG:Tips for interview:KPMG values:KPMG Competencies:KPMG Locations and FAQ:

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.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

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.